Viewing enriched Twitter post
Can an AI model predict perfectly and still have a terrible world model? What would that even mean? Our new ICML paper formalizes these questions One result tells the story: A transformer trained on 10M solar systems nails planetary orbits. But it botches gravitational laws 🧵 https://t.co/GDxnK8gaid
{
"media": [
{
"type": "video",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1943730486280331460/media_0.mp4?",
"filename": "media_0.mp4"
}
],
"nlp": {
"sentiment": "neutral",
"topics": [
"AI models",
"ICML paper",
"planetary orbits"
],
"entities": [],
"summary": "The tweet discusses the limitations of AI models in predicting planetary orbits while failing to understand gravitational laws, referencing a new ICML paper.",
"language": "en",
"processed_at": "2025-08-07T09:25:39.818363"
}
}{
"data": {
"threaded_conversation_with_injections_v2": {
"instructions": [
{
"type": "TimelineClearCache"
},
{
"type": "TimelineAddEntries",
"entries": [
{
"entryId": "tweet-1943730486280331460",
"sortIndex": "1953477635254255616",
"content": {
"entryType": "TimelineTimelineItem",
"__typename": "TimelineTimelineItem",
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730486280331460",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730486280331460"
],
"editable_until_msecs": "1752260035000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1340374",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 4700,
"bookmarked": false,
"created_at": "Fri Jul 11 17:53:55 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
279
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/GDxnK8gaid",
"expanded_url": "https://x.com/keyonV/status/1943730486280331460/video/1",
"id_str": "1943726655547039744",
"indices": [
280,
303
],
"media_key": "13_1943726655547039744",
"media_url_https": "https://pbs.twimg.com/amplify_video_thumb/1943726655547039744/img/tMtNtGYBNGbBG2rF.jpg",
"type": "video",
"url": "https://t.co/GDxnK8gaid",
"additional_media_info": {
"monetizable": false
},
"ext_media_availability": {
"status": "Available"
},
"sizes": {
"large": {
"h": 1170,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 686,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 389,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1400,
"width": 2450,
"focus_rects": []
},
"video_info": {
"aspect_ratio": [
7,
4
],
"duration_millis": 8333,
"variants": [
{
"content_type": "application/x-mpegURL",
"url": "https://video.twimg.com/amplify_video/1943726655547039744/pl/fyAxPbD8mcyUyBMq.m3u8?tag=14"
},
{
"bitrate": 288000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1943726655547039744/vid/avc1/472x270/uY_SAtgZO3LIWoSy.mp4?tag=14"
},
{
"bitrate": 832000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1943726655547039744/vid/avc1/630x360/dkS9Nr1DIHzGzGpt.mp4?tag=14"
},
{
"bitrate": 2176000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1943726655547039744/vid/avc1/1260x720/xgCQiJAMRRR0xWAW.mp4?tag=14"
}
]
},
"media_results": {
"result": {
"media_key": "13_1943726655547039744"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/GDxnK8gaid",
"expanded_url": "https://x.com/keyonV/status/1943730486280331460/video/1",
"id_str": "1943726655547039744",
"indices": [
280,
303
],
"media_key": "13_1943726655547039744",
"media_url_https": "https://pbs.twimg.com/amplify_video_thumb/1943726655547039744/img/tMtNtGYBNGbBG2rF.jpg",
"type": "video",
"url": "https://t.co/GDxnK8gaid",
"additional_media_info": {
"monetizable": false
},
"ext_media_availability": {
"status": "Available"
},
"sizes": {
"large": {
"h": 1170,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 686,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 389,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1400,
"width": 2450,
"focus_rects": []
},
"video_info": {
"aspect_ratio": [
7,
4
],
"duration_millis": 8333,
"variants": [
{
"content_type": "application/x-mpegURL",
"url": "https://video.twimg.com/amplify_video/1943726655547039744/pl/fyAxPbD8mcyUyBMq.m3u8?tag=14"
},
{
"bitrate": 288000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1943726655547039744/vid/avc1/472x270/uY_SAtgZO3LIWoSy.mp4?tag=14"
},
{
"bitrate": 832000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1943726655547039744/vid/avc1/630x360/dkS9Nr1DIHzGzGpt.mp4?tag=14"
},
{
"bitrate": 2176000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1943726655547039744/vid/avc1/1260x720/xgCQiJAMRRR0xWAW.mp4?tag=14"
}
]
},
"media_results": {
"result": {
"media_key": "13_1943726655547039744"
}
}
}
]
},
"favorite_count": 6814,
"favorited": false,
"full_text": "Can an AI model predict perfectly and still have a terrible world model?\n\nWhat would that even mean?\n\nOur new ICML paper formalizes these questions\n\nOne result tells the story: A transformer trained on 10M solar systems nails planetary orbits. But it botches gravitational laws 🧵 https://t.co/GDxnK8gaid",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 321,
"reply_count": 212,
"retweet_count": 1021,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730486280331460"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet"
}
}
},
{
"entryId": "conversationthread-1943730495264584079",
"sortIndex": "1953477635254255606",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1943730495264584079-tweet-1943730495264584079",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730495264584079",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730495264584079"
],
"editable_until_msecs": "1752260037000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "68209",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 248,
"bookmarked": false,
"created_at": "Fri Jul 11 17:53:57 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
260
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/1gCi9MAvfB",
"expanded_url": "https://x.com/keyonV/status/1943730495264584079/photo/1",
"id_str": "1943727280368275456",
"indices": [
261,
284
],
"media_key": "3_1943727280368275456",
"media_url_https": "https://pbs.twimg.com/media/GvmBqcaWUAABmS8.jpg",
"type": "photo",
"url": "https://t.co/1gCi9MAvfB",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 549,
"y": 649,
"h": 80,
"w": 80
}
]
},
"medium": {
"faces": [
{
"x": 450,
"y": 532,
"h": 65,
"w": 65
}
]
},
"small": {
"faces": [
{
"x": 254,
"y": 301,
"h": 37,
"w": 37
}
]
},
"orig": {
"faces": [
{
"x": 549,
"y": 649,
"h": 80,
"w": 80
}
]
}
},
"sizes": {
"large": {
"h": 1464,
"w": 1122,
"resize": "fit"
},
"medium": {
"h": 1200,
"w": 920,
"resize": "fit"
},
"small": {
"h": 680,
"w": 521,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1464,
"width": 1122,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1122,
"h": 628
},
{
"x": 0,
"y": 0,
"w": 1122,
"h": 1122
},
{
"x": 0,
"y": 0,
"w": 1122,
"h": 1279
},
{
"x": 36,
"y": 0,
"w": 732,
"h": 1464
},
{
"x": 0,
"y": 0,
"w": 1122,
"h": 1464
}
]
},
"media_results": {
"result": {
"media_key": "3_1943727280368275456"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/1gCi9MAvfB",
"expanded_url": "https://x.com/keyonV/status/1943730495264584079/photo/1",
"id_str": "1943727280368275456",
"indices": [
261,
284
],
"media_key": "3_1943727280368275456",
"media_url_https": "https://pbs.twimg.com/media/GvmBqcaWUAABmS8.jpg",
"type": "photo",
"url": "https://t.co/1gCi9MAvfB",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 549,
"y": 649,
"h": 80,
"w": 80
}
]
},
"medium": {
"faces": [
{
"x": 450,
"y": 532,
"h": 65,
"w": 65
}
]
},
"small": {
"faces": [
{
"x": 254,
"y": 301,
"h": 37,
"w": 37
}
]
},
"orig": {
"faces": [
{
"x": 549,
"y": 649,
"h": 80,
"w": 80
}
]
}
},
"sizes": {
"large": {
"h": 1464,
"w": 1122,
"resize": "fit"
},
"medium": {
"h": 1200,
"w": 920,
"resize": "fit"
},
"small": {
"h": 680,
"w": 521,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1464,
"width": 1122,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1122,
"h": 628
},
{
"x": 0,
"y": 0,
"w": 1122,
"h": 1122
},
{
"x": 0,
"y": 0,
"w": 1122,
"h": 1279
},
{
"x": 36,
"y": 0,
"w": 732,
"h": 1464
},
{
"x": 0,
"y": 0,
"w": 1122,
"h": 1464
}
]
},
"media_results": {
"result": {
"media_key": "3_1943727280368275456"
}
}
}
]
},
"favorite_count": 586,
"favorited": false,
"full_text": "Our paper aims to answer two questions:\n\n1. What's the difference between prediction and world models?\n2. Are there straightforward metrics that can test this distinction?\n\nOur paper is about AI. But it's helpful to go back 400 years to answer these questions. https://t.co/1gCi9MAvfB",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730486280331460",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 9,
"reply_count": 10,
"retweet_count": 33,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730495264584079"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943730495264584079-tweet-1943730502948511937",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730502948511937",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730502948511937"
],
"editable_until_msecs": "1752260039000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "41529",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 16,
"bookmarked": false,
"created_at": "Fri Jul 11 17:53:59 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
235
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/Wxoc8O9c1E",
"expanded_url": "https://x.com/keyonV/status/1943730502948511937/photo/1",
"id_str": "1943727545494487041",
"indices": [
236,
259
],
"media_key": "3_1943727545494487041",
"media_url_https": "https://pbs.twimg.com/media/GvmB54FXQAEJyUT.jpg",
"type": "photo",
"url": "https://t.co/Wxoc8O9c1E",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 729,
"y": 180,
"h": 89,
"w": 89
},
{
"x": 202,
"y": 166,
"h": 158,
"w": 158
}
]
},
"medium": {
"faces": [
{
"x": 729,
"y": 180,
"h": 89,
"w": 89
},
{
"x": 202,
"y": 166,
"h": 158,
"w": 158
}
]
},
"small": {
"faces": [
{
"x": 489,
"y": 120,
"h": 59,
"w": 59
},
{
"x": 135,
"y": 111,
"h": 106,
"w": 106
}
]
},
"orig": {
"faces": [
{
"x": 729,
"y": 180,
"h": 89,
"w": 89
},
{
"x": 202,
"y": 166,
"h": 158,
"w": 158
}
]
}
},
"sizes": {
"large": {
"h": 598,
"w": 1012,
"resize": "fit"
},
"medium": {
"h": 598,
"w": 1012,
"resize": "fit"
},
"small": {
"h": 402,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 598,
"width": 1012,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1012,
"h": 567
},
{
"x": 0,
"y": 0,
"w": 598,
"h": 598
},
{
"x": 16,
"y": 0,
"w": 525,
"h": 598
},
{
"x": 129,
"y": 0,
"w": 299,
"h": 598
},
{
"x": 0,
"y": 0,
"w": 1012,
"h": 598
}
]
},
"media_results": {
"result": {
"media_key": "3_1943727545494487041"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/Wxoc8O9c1E",
"expanded_url": "https://x.com/keyonV/status/1943730502948511937/photo/1",
"id_str": "1943727545494487041",
"indices": [
236,
259
],
"media_key": "3_1943727545494487041",
"media_url_https": "https://pbs.twimg.com/media/GvmB54FXQAEJyUT.jpg",
"type": "photo",
"url": "https://t.co/Wxoc8O9c1E",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 729,
"y": 180,
"h": 89,
"w": 89
},
{
"x": 202,
"y": 166,
"h": 158,
"w": 158
}
]
},
"medium": {
"faces": [
{
"x": 729,
"y": 180,
"h": 89,
"w": 89
},
{
"x": 202,
"y": 166,
"h": 158,
"w": 158
}
]
},
"small": {
"faces": [
{
"x": 489,
"y": 120,
"h": 59,
"w": 59
},
{
"x": 135,
"y": 111,
"h": 106,
"w": 106
}
]
},
"orig": {
"faces": [
{
"x": 729,
"y": 180,
"h": 89,
"w": 89
},
{
"x": 202,
"y": 166,
"h": 158,
"w": 158
}
]
}
},
"sizes": {
"large": {
"h": 598,
"w": 1012,
"resize": "fit"
},
"medium": {
"h": 598,
"w": 1012,
"resize": "fit"
},
"small": {
"h": 402,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 598,
"width": 1012,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1012,
"h": 567
},
{
"x": 0,
"y": 0,
"w": 598,
"h": 598
},
{
"x": 16,
"y": 0,
"w": 525,
"h": 598
},
{
"x": 129,
"y": 0,
"w": 299,
"h": 598
},
{
"x": 0,
"y": 0,
"w": 1012,
"h": 598
}
]
},
"media_results": {
"result": {
"media_key": "3_1943727545494487041"
}
}
}
]
},
"favorite_count": 342,
"favorited": false,
"full_text": "Perhaps the most influential world model had its start as a predictive model.\n\nBefore we had Newton's laws of gravity, we had Kepler's predictions of planetary orbits.\n\nKepler's predictions led to Newton's laws. So what did Newton add? https://t.co/Wxoc8O9c1E",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730495264584079",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 2,
"reply_count": 3,
"retweet_count": 14,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730502948511937"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943730495264584079-tweet-1943730510385074546",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730510385074546",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730510385074546"
],
"editable_until_msecs": "1752260041000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "39700",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 51,
"bookmarked": false,
"created_at": "Fri Jul 11 17:54:01 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
280
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 513,
"favorited": false,
"full_text": "If you only care about orbits, Newton didn't add much. His laws give the same predictions.\n\nBut Newton's laws went beyond orbits: the same laws explain pendula, cannonballs, and rockets.\n\nThis motivates our framework: Predictions apply to one task. World models generalize to many",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730502948511937",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"quote_count": 2,
"reply_count": 4,
"retweet_count": 17,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730510385074546"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943730495264584079-tweet-1943730518735896809",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730518735896809",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730518735896809"
],
"editable_until_msecs": "1752260043000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "37344",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 29,
"bookmarked": false,
"created_at": "Fri Jul 11 17:54:03 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
276
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 323,
"favorited": false,
"full_text": "Newton's laws are a kind of foundation model. They provide a place to start when working on new problems.\n\nA good foundation model should do the same.\n\nThe No Free Lunch Theorem motivates a test: Every foundation model has an inductive bias. This bias reveals its world model.",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730510385074546",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"quote_count": 1,
"reply_count": 2,
"retweet_count": 11,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730518735896809"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943730495264584079-tweet-1943730527636168763",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730527636168763",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730527636168763"
],
"editable_until_msecs": "1752260045000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "35718",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 49,
"bookmarked": false,
"created_at": "Fri Jul 11 17:54:05 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
253
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/AJn2JFMqip",
"expanded_url": "https://x.com/keyonV/status/1943730527636168763/photo/1",
"id_str": "1943727844447625216",
"indices": [
254,
277
],
"media_key": "3_1943727844447625216",
"media_url_https": "https://pbs.twimg.com/media/GvmCLRxWIAA_MOG.jpg",
"type": "photo",
"url": "https://t.co/AJn2JFMqip",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 869,
"y": 494,
"h": 127,
"w": 127
}
]
},
"medium": {
"faces": [
{
"x": 550,
"y": 312,
"h": 80,
"w": 80
}
]
},
"small": {
"faces": [
{
"x": 311,
"y": 177,
"h": 45,
"w": 45
}
]
},
"orig": {
"faces": [
{
"x": 869,
"y": 494,
"h": 127,
"w": 127
}
]
}
},
"sizes": {
"large": {
"h": 1376,
"w": 1895,
"resize": "fit"
},
"medium": {
"h": 871,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 494,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1376,
"width": 1895,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1895,
"h": 1061
},
{
"x": 0,
"y": 0,
"w": 1376,
"h": 1376
},
{
"x": 0,
"y": 0,
"w": 1207,
"h": 1376
},
{
"x": 177,
"y": 0,
"w": 688,
"h": 1376
},
{
"x": 0,
"y": 0,
"w": 1895,
"h": 1376
}
]
},
"media_results": {
"result": {
"media_key": "3_1943727844447625216"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/AJn2JFMqip",
"expanded_url": "https://x.com/keyonV/status/1943730527636168763/photo/1",
"id_str": "1943727844447625216",
"indices": [
254,
277
],
"media_key": "3_1943727844447625216",
"media_url_https": "https://pbs.twimg.com/media/GvmCLRxWIAA_MOG.jpg",
"type": "photo",
"url": "https://t.co/AJn2JFMqip",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 869,
"y": 494,
"h": 127,
"w": 127
}
]
},
"medium": {
"faces": [
{
"x": 550,
"y": 312,
"h": 80,
"w": 80
}
]
},
"small": {
"faces": [
{
"x": 311,
"y": 177,
"h": 45,
"w": 45
}
]
},
"orig": {
"faces": [
{
"x": 869,
"y": 494,
"h": 127,
"w": 127
}
]
}
},
"sizes": {
"large": {
"h": 1376,
"w": 1895,
"resize": "fit"
},
"medium": {
"h": 871,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 494,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1376,
"width": 1895,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1895,
"h": 1061
},
{
"x": 0,
"y": 0,
"w": 1376,
"h": 1376
},
{
"x": 0,
"y": 0,
"w": 1207,
"h": 1376
},
{
"x": 177,
"y": 0,
"w": 688,
"h": 1376
},
{
"x": 0,
"y": 0,
"w": 1895,
"h": 1376
}
]
},
"media_results": {
"result": {
"media_key": "3_1943727844447625216"
}
}
}
]
},
"favorite_count": 321,
"favorited": false,
"full_text": "We propose a method to measure these inductive biases. We call it an inductive bias probe.\n\nTwo steps:\n1. Fit a foundation model to many new, very small synthetic datasets\n2. Analyze patterns in the functions it learns to find the model's inductive bias https://t.co/AJn2JFMqip",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730518735896809",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 2,
"reply_count": 1,
"retweet_count": 16,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730527636168763"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943730495264584079-tweet-1943730535571845319",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730535571845319",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730535571845319"
],
"editable_until_msecs": "1752260047000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "32012",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 29,
"bookmarked": false,
"created_at": "Fri Jul 11 17:54:07 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
276
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/qiKibvHnM9",
"expanded_url": "https://x.com/keyonV/status/1943730535571845319/video/1",
"id_str": "1943727916862349313",
"indices": [
277,
300
],
"media_key": "13_1943727916862349313",
"media_url_https": "https://pbs.twimg.com/amplify_video_thumb/1943727916862349313/img/wDEUecvs16iKeNMZ.jpg",
"type": "video",
"url": "https://t.co/qiKibvHnM9",
"additional_media_info": {
"monetizable": false
},
"ext_media_availability": {
"status": "Available"
},
"sizes": {
"large": {
"h": 1280,
"w": 1280,
"resize": "fit"
},
"medium": {
"h": 1200,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 680,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1280,
"width": 1280,
"focus_rects": []
},
"video_info": {
"aspect_ratio": [
1,
1
],
"duration_millis": 3920,
"variants": [
{
"content_type": "application/x-mpegURL",
"url": "https://video.twimg.com/amplify_video/1943727916862349313/pl/CnU_AujYyFFtS3jd.m3u8?tag=14"
},
{
"bitrate": 432000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1943727916862349313/vid/avc1/320x320/8dTU19JsP65Va4n4.mp4?tag=14"
},
{
"bitrate": 832000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1943727916862349313/vid/avc1/540x540/ebhxgfBnezRJLCHJ.mp4?tag=14"
},
{
"bitrate": 1280000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1943727916862349313/vid/avc1/720x720/P3OipOWiLySBVUra.mp4?tag=14"
}
]
},
"media_results": {
"result": {
"media_key": "13_1943727916862349313"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/qiKibvHnM9",
"expanded_url": "https://x.com/keyonV/status/1943730535571845319/video/1",
"id_str": "1943727916862349313",
"indices": [
277,
300
],
"media_key": "13_1943727916862349313",
"media_url_https": "https://pbs.twimg.com/amplify_video_thumb/1943727916862349313/img/wDEUecvs16iKeNMZ.jpg",
"type": "video",
"url": "https://t.co/qiKibvHnM9",
"additional_media_info": {
"monetizable": false
},
"ext_media_availability": {
"status": "Available"
},
"sizes": {
"large": {
"h": 1280,
"w": 1280,
"resize": "fit"
},
"medium": {
"h": 1200,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 680,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1280,
"width": 1280,
"focus_rects": []
},
"video_info": {
"aspect_ratio": [
1,
1
],
"duration_millis": 3920,
"variants": [
{
"content_type": "application/x-mpegURL",
"url": "https://video.twimg.com/amplify_video/1943727916862349313/pl/CnU_AujYyFFtS3jd.m3u8?tag=14"
},
{
"bitrate": 432000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1943727916862349313/vid/avc1/320x320/8dTU19JsP65Va4n4.mp4?tag=14"
},
{
"bitrate": 832000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1943727916862349313/vid/avc1/540x540/ebhxgfBnezRJLCHJ.mp4?tag=14"
},
{
"bitrate": 1280000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1943727916862349313/vid/avc1/720x720/P3OipOWiLySBVUra.mp4?tag=14"
}
]
},
"media_results": {
"result": {
"media_key": "13_1943727916862349313"
}
}
}
]
},
"favorite_count": 233,
"favorited": false,
"full_text": "We apply these probes to orbital, lattice, and Othello problems.\n\nStarting with orbits: we encode solar systems as sequences and train a transformer on 10M solar systems (20B tokens)\n\nThe model makes accurate predictions many timesteps ahead. Predictions for our solar system: https://t.co/qiKibvHnM9",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730527636168763",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 2,
"retweet_count": 7,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730535571845319"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943730495264584079-tweet-1943730542286876967",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730542286876967",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730542286876967"
],
"editable_until_msecs": "1752260048000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "30023",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 24,
"bookmarked": false,
"created_at": "Fri Jul 11 17:54:08 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
278
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/K5FqVZBBaV",
"expanded_url": "https://x.com/keyonV/status/1943730542286876967/photo/1",
"id_str": "1943728183796273153",
"indices": [
279,
302
],
"media_key": "3_1943728183796273153",
"media_url_https": "https://pbs.twimg.com/media/GvmCfB8XkAEX72Y.jpg",
"type": "photo",
"url": "https://t.co/K5FqVZBBaV",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1226,
"w": 1808,
"resize": "fit"
},
"medium": {
"h": 814,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 461,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1226,
"width": 1808,
"focus_rects": [
{
"x": 0,
"y": 214,
"w": 1808,
"h": 1012
},
{
"x": 426,
"y": 0,
"w": 1226,
"h": 1226
},
{
"x": 502,
"y": 0,
"w": 1075,
"h": 1226
},
{
"x": 733,
"y": 0,
"w": 613,
"h": 1226
},
{
"x": 0,
"y": 0,
"w": 1808,
"h": 1226
}
]
},
"media_results": {
"result": {
"media_key": "3_1943728183796273153"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/K5FqVZBBaV",
"expanded_url": "https://x.com/keyonV/status/1943730542286876967/photo/1",
"id_str": "1943728183796273153",
"indices": [
279,
302
],
"media_key": "3_1943728183796273153",
"media_url_https": "https://pbs.twimg.com/media/GvmCfB8XkAEX72Y.jpg",
"type": "photo",
"url": "https://t.co/K5FqVZBBaV",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1226,
"w": 1808,
"resize": "fit"
},
"medium": {
"h": 814,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 461,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1226,
"width": 1808,
"focus_rects": [
{
"x": 0,
"y": 214,
"w": 1808,
"h": 1012
},
{
"x": 426,
"y": 0,
"w": 1226,
"h": 1226
},
{
"x": 502,
"y": 0,
"w": 1075,
"h": 1226
},
{
"x": 733,
"y": 0,
"w": 613,
"h": 1226
},
{
"x": 0,
"y": 0,
"w": 1808,
"h": 1226
}
]
},
"media_results": {
"result": {
"media_key": "3_1943728183796273153"
}
}
}
]
},
"favorite_count": 212,
"favorited": false,
"full_text": "But has the model discovered Newton's laws?\n\nWhen we fine-tune it to new tasks, its inductive bias isn't toward Newtonian states.\n\nWhen it extrapolates, it makes similar predictions for orbits with very different states, and different predictions for orbits with similar states. https://t.co/K5FqVZBBaV",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730535571845319",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 2,
"retweet_count": 8,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730542286876967"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943730495264584079-tweet-1943730553645130101",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730553645130101",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730553645130101"
],
"editable_until_msecs": "1752260051000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "31897",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 20,
"bookmarked": false,
"created_at": "Fri Jul 11 17:54:11 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
210
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/1sULoGIpHP",
"expanded_url": "https://x.com/keyonV/status/1943730553645130101/photo/1",
"id_str": "1943728367565434880",
"indices": [
211,
234
],
"media_key": "3_1943728367565434880",
"media_url_https": "https://pbs.twimg.com/media/GvmCpuiWcAAEJuf.jpg",
"type": "photo",
"url": "https://t.co/1sULoGIpHP",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1115,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 653,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 370,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 2078,
"width": 3816,
"focus_rects": [
{
"x": 105,
"y": 0,
"w": 3711,
"h": 2078
},
{
"x": 1738,
"y": 0,
"w": 2078,
"h": 2078
},
{
"x": 1993,
"y": 0,
"w": 1823,
"h": 2078
},
{
"x": 2438,
"y": 0,
"w": 1039,
"h": 2078
},
{
"x": 0,
"y": 0,
"w": 3816,
"h": 2078
}
]
},
"media_results": {
"result": {
"media_key": "3_1943728367565434880"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/1sULoGIpHP",
"expanded_url": "https://x.com/keyonV/status/1943730553645130101/photo/1",
"id_str": "1943728367565434880",
"indices": [
211,
234
],
"media_key": "3_1943728367565434880",
"media_url_https": "https://pbs.twimg.com/media/GvmCpuiWcAAEJuf.jpg",
"type": "photo",
"url": "https://t.co/1sULoGIpHP",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1115,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 653,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 370,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 2078,
"width": 3816,
"focus_rects": [
{
"x": 105,
"y": 0,
"w": 3711,
"h": 2078
},
{
"x": 1738,
"y": 0,
"w": 2078,
"h": 2078
},
{
"x": 1993,
"y": 0,
"w": 1823,
"h": 2078
},
{
"x": 2438,
"y": 0,
"w": 1039,
"h": 2078
},
{
"x": 0,
"y": 0,
"w": 3816,
"h": 2078
}
]
},
"media_results": {
"result": {
"media_key": "3_1943728367565434880"
}
}
}
]
},
"favorite_count": 232,
"favorited": false,
"full_text": "To demonstrate, we fine-tuned the model to predict force vectors on a small dataset of planets in our solar system.\n\nA model that understands Newtonian mechanics should get these. But the transformer struggles. https://t.co/1sULoGIpHP",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730542286876967",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 5,
"reply_count": 7,
"retweet_count": 9,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730553645130101"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943730495264584079-tweet-1943730565397500226",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730565397500226",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730565397500226"
],
"editable_until_msecs": "1752260054000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "88273",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 32,
"bookmarked": false,
"created_at": "Fri Jul 11 17:54:14 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
267
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/z6ylxg0mya",
"expanded_url": "https://x.com/keyonV/status/1943730565397500226/photo/1",
"id_str": "1943728555617099776",
"indices": [
268,
291
],
"media_key": "3_1943728555617099776",
"media_url_https": "https://pbs.twimg.com/media/GvmC0rFXIAAAHjB.png",
"type": "photo",
"url": "https://t.co/z6ylxg0mya",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1070,
"w": 1362,
"resize": "fit"
},
"medium": {
"h": 943,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 534,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1070,
"width": 1362,
"focus_rects": [
{
"x": 0,
"y": 307,
"w": 1362,
"h": 763
},
{
"x": 0,
"y": 0,
"w": 1070,
"h": 1070
},
{
"x": 0,
"y": 0,
"w": 939,
"h": 1070
},
{
"x": 0,
"y": 0,
"w": 535,
"h": 1070
},
{
"x": 0,
"y": 0,
"w": 1362,
"h": 1070
}
]
},
"media_results": {
"result": {
"media_key": "3_1943728555617099776"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/z6ylxg0mya",
"expanded_url": "https://x.com/keyonV/status/1943730565397500226/photo/1",
"id_str": "1943728555617099776",
"indices": [
268,
291
],
"media_key": "3_1943728555617099776",
"media_url_https": "https://pbs.twimg.com/media/GvmC0rFXIAAAHjB.png",
"type": "photo",
"url": "https://t.co/z6ylxg0mya",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1070,
"w": 1362,
"resize": "fit"
},
"medium": {
"h": 943,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 534,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1070,
"width": 1362,
"focus_rects": [
{
"x": 0,
"y": 307,
"w": 1362,
"h": 763
},
{
"x": 0,
"y": 0,
"w": 1070,
"h": 1070
},
{
"x": 0,
"y": 0,
"w": 939,
"h": 1070
},
{
"x": 0,
"y": 0,
"w": 535,
"h": 1070
},
{
"x": 0,
"y": 0,
"w": 1362,
"h": 1070
}
]
},
"media_results": {
"result": {
"media_key": "3_1943728555617099776"
}
}
}
]
},
"favorite_count": 304,
"favorited": false,
"full_text": "We then fine-tuned the model on a larger scale, to predict forces across 10K solar systems.\n\nWe used a symbolic regression to compare the recovered force law to Newton's law.\n\nIt not only recovered a nonsensical law—it recovered different laws for different galaxies. https://t.co/z6ylxg0mya",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730553645130101",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 9,
"reply_count": 5,
"retweet_count": 21,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730565397500226"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943730495264584079-tweet-1943730574943719574",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730574943719574",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730574943719574"
],
"editable_until_msecs": "1752260056000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "33760",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 13,
"bookmarked": false,
"created_at": "Fri Jul 11 17:54:16 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
279
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/WdRrjDp0br",
"expanded_url": "https://x.com/keyonV/status/1943730574943719574/photo/1",
"id_str": "1943728870592573440",
"indices": [
280,
303
],
"media_key": "3_1943728870592573440",
"media_url_https": "https://pbs.twimg.com/media/GvmDHAdXcAAHy-r.jpg",
"type": "photo",
"url": "https://t.co/WdRrjDp0br",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 53,
"y": 151,
"h": 143,
"w": 143
},
{
"x": 1546,
"y": 161,
"h": 137,
"w": 137
},
{
"x": 1542,
"y": 111,
"h": 143,
"w": 143
},
{
"x": 1544,
"y": 455,
"h": 141,
"w": 141
},
{
"x": 51,
"y": 894,
"h": 147,
"w": 147
}
]
},
"medium": {
"faces": [
{
"x": 31,
"y": 88,
"h": 83,
"w": 83
},
{
"x": 907,
"y": 94,
"h": 80,
"w": 80
},
{
"x": 905,
"y": 65,
"h": 83,
"w": 83
},
{
"x": 906,
"y": 267,
"h": 82,
"w": 82
},
{
"x": 29,
"y": 524,
"h": 86,
"w": 86
}
]
},
"small": {
"faces": [
{
"x": 17,
"y": 50,
"h": 47,
"w": 47
},
{
"x": 514,
"y": 53,
"h": 45,
"w": 45
},
{
"x": 512,
"y": 36,
"h": 47,
"w": 47
},
{
"x": 513,
"y": 151,
"h": 46,
"w": 46
},
{
"x": 16,
"y": 297,
"h": 48,
"w": 48
}
]
},
"orig": {
"faces": [
{
"x": 53,
"y": 151,
"h": 143,
"w": 143
},
{
"x": 1546,
"y": 161,
"h": 137,
"w": 137
},
{
"x": 1542,
"y": 111,
"h": 143,
"w": 143
},
{
"x": 1544,
"y": 455,
"h": 141,
"w": 141
},
{
"x": 51,
"y": 894,
"h": 147,
"w": 147
}
]
}
},
"sizes": {
"large": {
"h": 1300,
"w": 2044,
"resize": "fit"
},
"medium": {
"h": 763,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 432,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1300,
"width": 2044,
"focus_rects": [
{
"x": 0,
"y": 155,
"w": 2044,
"h": 1145
},
{
"x": 372,
"y": 0,
"w": 1300,
"h": 1300
},
{
"x": 452,
"y": 0,
"w": 1140,
"h": 1300
},
{
"x": 697,
"y": 0,
"w": 650,
"h": 1300
},
{
"x": 0,
"y": 0,
"w": 2044,
"h": 1300
}
]
},
"media_results": {
"result": {
"media_key": "3_1943728870592573440"
}
}
},
{
"display_url": "pic.x.com/WdRrjDp0br",
"expanded_url": "https://x.com/keyonV/status/1943730574943719574/photo/1",
"id_str": "1943728892935651328",
"indices": [
280,
303
],
"media_key": "3_1943728892935651328",
"media_url_https": "https://pbs.twimg.com/media/GvmDITsXwAAwKKf.jpg",
"type": "photo",
"url": "https://t.co/WdRrjDp0br",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 12,
"y": 820,
"h": 102,
"w": 102
},
{
"x": 5,
"y": 93,
"h": 121,
"w": 121
},
{
"x": 581,
"y": 719,
"h": 197,
"w": 197
}
]
},
"medium": {
"faces": [
{
"x": 7,
"y": 543,
"h": 67,
"w": 67
},
{
"x": 3,
"y": 61,
"h": 80,
"w": 80
},
{
"x": 385,
"y": 476,
"h": 130,
"w": 130
}
]
},
"small": {
"faces": [
{
"x": 4,
"y": 308,
"h": 38,
"w": 38
},
{
"x": 1,
"y": 34,
"h": 45,
"w": 45
},
{
"x": 218,
"y": 270,
"h": 74,
"w": 74
}
]
},
"orig": {
"faces": [
{
"x": 12,
"y": 820,
"h": 102,
"w": 102
},
{
"x": 5,
"y": 93,
"h": 121,
"w": 121
},
{
"x": 581,
"y": 719,
"h": 197,
"w": 197
}
]
}
},
"sizes": {
"large": {
"h": 1420,
"w": 1810,
"resize": "fit"
},
"medium": {
"h": 941,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 533,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1420,
"width": 1810,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1810,
"h": 1014
},
{
"x": 390,
"y": 0,
"w": 1420,
"h": 1420
},
{
"x": 564,
"y": 0,
"w": 1246,
"h": 1420
},
{
"x": 1047,
"y": 0,
"w": 710,
"h": 1420
},
{
"x": 0,
"y": 0,
"w": 1810,
"h": 1420
}
]
},
"media_results": {
"result": {
"media_key": "3_1943728892935651328"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/WdRrjDp0br",
"expanded_url": "https://x.com/keyonV/status/1943730574943719574/photo/1",
"id_str": "1943728870592573440",
"indices": [
280,
303
],
"media_key": "3_1943728870592573440",
"media_url_https": "https://pbs.twimg.com/media/GvmDHAdXcAAHy-r.jpg",
"type": "photo",
"url": "https://t.co/WdRrjDp0br",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 53,
"y": 151,
"h": 143,
"w": 143
},
{
"x": 1546,
"y": 161,
"h": 137,
"w": 137
},
{
"x": 1542,
"y": 111,
"h": 143,
"w": 143
},
{
"x": 1544,
"y": 455,
"h": 141,
"w": 141
},
{
"x": 51,
"y": 894,
"h": 147,
"w": 147
}
]
},
"medium": {
"faces": [
{
"x": 31,
"y": 88,
"h": 83,
"w": 83
},
{
"x": 907,
"y": 94,
"h": 80,
"w": 80
},
{
"x": 905,
"y": 65,
"h": 83,
"w": 83
},
{
"x": 906,
"y": 267,
"h": 82,
"w": 82
},
{
"x": 29,
"y": 524,
"h": 86,
"w": 86
}
]
},
"small": {
"faces": [
{
"x": 17,
"y": 50,
"h": 47,
"w": 47
},
{
"x": 514,
"y": 53,
"h": 45,
"w": 45
},
{
"x": 512,
"y": 36,
"h": 47,
"w": 47
},
{
"x": 513,
"y": 151,
"h": 46,
"w": 46
},
{
"x": 16,
"y": 297,
"h": 48,
"w": 48
}
]
},
"orig": {
"faces": [
{
"x": 53,
"y": 151,
"h": 143,
"w": 143
},
{
"x": 1546,
"y": 161,
"h": 137,
"w": 137
},
{
"x": 1542,
"y": 111,
"h": 143,
"w": 143
},
{
"x": 1544,
"y": 455,
"h": 141,
"w": 141
},
{
"x": 51,
"y": 894,
"h": 147,
"w": 147
}
]
}
},
"sizes": {
"large": {
"h": 1300,
"w": 2044,
"resize": "fit"
},
"medium": {
"h": 763,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 432,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1300,
"width": 2044,
"focus_rects": [
{
"x": 0,
"y": 155,
"w": 2044,
"h": 1145
},
{
"x": 372,
"y": 0,
"w": 1300,
"h": 1300
},
{
"x": 452,
"y": 0,
"w": 1140,
"h": 1300
},
{
"x": 697,
"y": 0,
"w": 650,
"h": 1300
},
{
"x": 0,
"y": 0,
"w": 2044,
"h": 1300
}
]
},
"media_results": {
"result": {
"media_key": "3_1943728870592573440"
}
}
},
{
"display_url": "pic.x.com/WdRrjDp0br",
"expanded_url": "https://x.com/keyonV/status/1943730574943719574/photo/1",
"id_str": "1943728892935651328",
"indices": [
280,
303
],
"media_key": "3_1943728892935651328",
"media_url_https": "https://pbs.twimg.com/media/GvmDITsXwAAwKKf.jpg",
"type": "photo",
"url": "https://t.co/WdRrjDp0br",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 12,
"y": 820,
"h": 102,
"w": 102
},
{
"x": 5,
"y": 93,
"h": 121,
"w": 121
},
{
"x": 581,
"y": 719,
"h": 197,
"w": 197
}
]
},
"medium": {
"faces": [
{
"x": 7,
"y": 543,
"h": 67,
"w": 67
},
{
"x": 3,
"y": 61,
"h": 80,
"w": 80
},
{
"x": 385,
"y": 476,
"h": 130,
"w": 130
}
]
},
"small": {
"faces": [
{
"x": 4,
"y": 308,
"h": 38,
"w": 38
},
{
"x": 1,
"y": 34,
"h": 45,
"w": 45
},
{
"x": 218,
"y": 270,
"h": 74,
"w": 74
}
]
},
"orig": {
"faces": [
{
"x": 12,
"y": 820,
"h": 102,
"w": 102
},
{
"x": 5,
"y": 93,
"h": 121,
"w": 121
},
{
"x": 581,
"y": 719,
"h": 197,
"w": 197
}
]
}
},
"sizes": {
"large": {
"h": 1420,
"w": 1810,
"resize": "fit"
},
"medium": {
"h": 941,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 533,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1420,
"width": 1810,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1810,
"h": 1014
},
{
"x": 390,
"y": 0,
"w": 1420,
"h": 1420
},
{
"x": 564,
"y": 0,
"w": 1246,
"h": 1420
},
{
"x": 1047,
"y": 0,
"w": 710,
"h": 1420
},
{
"x": 0,
"y": 0,
"w": 1810,
"h": 1420
}
]
},
"media_results": {
"result": {
"media_key": "3_1943728892935651328"
}
}
}
]
},
"favorite_count": 214,
"favorited": false,
"full_text": "Would more general models like LLMs do better?\n\nWe tried providing o3, Claude Sonnet 4, and Gemini 2.5 Pro with a small number of force magnitudes in-context w/o saying what they are.\n\nThese LLMs are explicitly trained on Newton's laws. But they can't get the rest of the forces. https://t.co/WdRrjDp0br",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730565397500226",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 3,
"reply_count": 5,
"retweet_count": 5,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730574943719574"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943730495264584079-tweet-1943730582363554220",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730582363554220",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730582363554220"
],
"editable_until_msecs": "1752260058000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "25858",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 26,
"bookmarked": false,
"created_at": "Fri Jul 11 17:54:18 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
265
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/by2eTrEW8G",
"expanded_url": "https://x.com/keyonV/status/1943730582363554220/photo/1",
"id_str": "1943729059025858561",
"indices": [
266,
289
],
"media_key": "3_1943729059025858561",
"media_url_https": "https://pbs.twimg.com/media/GvmDR-bXMAEOZVp.jpg",
"type": "photo",
"url": "https://t.co/by2eTrEW8G",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 796,
"y": 324,
"h": 106,
"w": 106
}
]
},
"medium": {
"faces": [
{
"x": 789,
"y": 321,
"h": 105,
"w": 105
}
]
},
"small": {
"faces": [
{
"x": 447,
"y": 182,
"h": 59,
"w": 59
}
]
},
"orig": {
"faces": [
{
"x": 796,
"y": 324,
"h": 106,
"w": 106
}
]
}
},
"sizes": {
"large": {
"h": 1002,
"w": 1210,
"resize": "fit"
},
"medium": {
"h": 994,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 563,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1002,
"width": 1210,
"focus_rects": [
{
"x": 0,
"y": 324,
"w": 1210,
"h": 678
},
{
"x": 134,
"y": 0,
"w": 1002,
"h": 1002
},
{
"x": 196,
"y": 0,
"w": 879,
"h": 1002
},
{
"x": 385,
"y": 0,
"w": 501,
"h": 1002
},
{
"x": 0,
"y": 0,
"w": 1210,
"h": 1002
}
]
},
"media_results": {
"result": {
"media_key": "3_1943729059025858561"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/by2eTrEW8G",
"expanded_url": "https://x.com/keyonV/status/1943730582363554220/photo/1",
"id_str": "1943729059025858561",
"indices": [
266,
289
],
"media_key": "3_1943729059025858561",
"media_url_https": "https://pbs.twimg.com/media/GvmDR-bXMAEOZVp.jpg",
"type": "photo",
"url": "https://t.co/by2eTrEW8G",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 796,
"y": 324,
"h": 106,
"w": 106
}
]
},
"medium": {
"faces": [
{
"x": 789,
"y": 321,
"h": 105,
"w": 105
}
]
},
"small": {
"faces": [
{
"x": 447,
"y": 182,
"h": 59,
"w": 59
}
]
},
"orig": {
"faces": [
{
"x": 796,
"y": 324,
"h": 106,
"w": 106
}
]
}
},
"sizes": {
"large": {
"h": 1002,
"w": 1210,
"resize": "fit"
},
"medium": {
"h": 994,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 563,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1002,
"width": 1210,
"focus_rects": [
{
"x": 0,
"y": 324,
"w": 1210,
"h": 678
},
{
"x": 134,
"y": 0,
"w": 1002,
"h": 1002
},
{
"x": 196,
"y": 0,
"w": 879,
"h": 1002
},
{
"x": 385,
"y": 0,
"w": 501,
"h": 1002
},
{
"x": 0,
"y": 0,
"w": 1210,
"h": 1002
}
]
},
"media_results": {
"result": {
"media_key": "3_1943729059025858561"
}
}
}
]
},
"favorite_count": 208,
"favorited": false,
"full_text": "We also apply these probes to lattice problems (think gridworld).\n\nInductive biases are great when the number of states is small. But they deteriorate quickly.\n\nRecurrent and state-space models like Mamba consistently have better inductive biases than transformers. https://t.co/by2eTrEW8G",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730574943719574",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 3,
"reply_count": 1,
"retweet_count": 7,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730582363554220"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943730495264584079-tweet-1943730589284118606",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730589284118606",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730589284118606"
],
"editable_until_msecs": "1752260059000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "22015",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 22,
"bookmarked": false,
"created_at": "Fri Jul 11 17:54:19 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
279
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 207,
"favorited": false,
"full_text": "If a foundation model's inductive bias isn't toward a given world model, what is it toward?\n\nOne hypothesis: models confuse sequences that belong to different states but have the same legal *next* tokens.\n\nExample: Two different Othello boards can have the same legal next moves.",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730582363554220",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"quote_count": 1,
"reply_count": 5,
"retweet_count": 7,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730589284118606"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943730495264584079-tweet-1943730596246585711",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730596246585711",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730596246585711"
],
"editable_until_msecs": "1752260061000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "23917",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 18,
"bookmarked": false,
"created_at": "Fri Jul 11 17:54:21 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
271
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/aBySjaNgq2",
"expanded_url": "https://x.com/keyonV/status/1943730596246585711/photo/1",
"id_str": "1943729198884884480",
"indices": [
272,
295
],
"media_key": "3_1943729198884884480",
"media_url_https": "https://pbs.twimg.com/media/GvmDaHcWkAAdKLo.jpg",
"type": "photo",
"url": "https://t.co/aBySjaNgq2",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 802,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 470,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 266,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 936,
"width": 2390,
"focus_rects": [
{
"x": 719,
"y": 0,
"w": 1671,
"h": 936
},
{
"x": 1454,
"y": 0,
"w": 936,
"h": 936
},
{
"x": 1569,
"y": 0,
"w": 821,
"h": 936
},
{
"x": 1857,
"y": 0,
"w": 468,
"h": 936
},
{
"x": 0,
"y": 0,
"w": 2390,
"h": 936
}
]
},
"media_results": {
"result": {
"media_key": "3_1943729198884884480"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/aBySjaNgq2",
"expanded_url": "https://x.com/keyonV/status/1943730596246585711/photo/1",
"id_str": "1943729198884884480",
"indices": [
272,
295
],
"media_key": "3_1943729198884884480",
"media_url_https": "https://pbs.twimg.com/media/GvmDaHcWkAAdKLo.jpg",
"type": "photo",
"url": "https://t.co/aBySjaNgq2",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 802,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 470,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 266,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 936,
"width": 2390,
"focus_rects": [
{
"x": 719,
"y": 0,
"w": 1671,
"h": 936
},
{
"x": 1454,
"y": 0,
"w": 936,
"h": 936
},
{
"x": 1569,
"y": 0,
"w": 821,
"h": 936
},
{
"x": 1857,
"y": 0,
"w": 468,
"h": 936
},
{
"x": 0,
"y": 0,
"w": 2390,
"h": 936
}
]
},
"media_results": {
"result": {
"media_key": "3_1943729198884884480"
}
}
}
]
},
"favorite_count": 213,
"favorited": false,
"full_text": "We fine-tune an Othello next-token prediction model to reconstruct boards.\n\nEven when the model reconstructs boards incorrectly, the reconstructed boards often get the legal next moves right.\n\nModels seem to construct \"enough of\" the board to calculate single next moves. https://t.co/aBySjaNgq2",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730589284118606",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 3,
"reply_count": 3,
"retweet_count": 3,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730596246585711"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943730495264584079-tweet-1943730604228419791",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730604228419791",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730604228419791"
],
"editable_until_msecs": "1752260063000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "20190",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 15,
"bookmarked": false,
"created_at": "Fri Jul 11 17:54:23 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
164
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/sgGFgsYR4O",
"expanded_url": "https://x.com/keyonV/status/1943730604228419791/photo/1",
"id_str": "1943729334465835008",
"indices": [
165,
188
],
"media_key": "3_1943729334465835008",
"media_url_https": "https://pbs.twimg.com/media/GvmDiAhXsAAWfdw.png",
"type": "photo",
"url": "https://t.co/sgGFgsYR4O",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 615,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 361,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 204,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 712,
"width": 2370,
"focus_rects": [
{
"x": 1083,
"y": 0,
"w": 1271,
"h": 712
},
{
"x": 1362,
"y": 0,
"w": 712,
"h": 712
},
{
"x": 1406,
"y": 0,
"w": 625,
"h": 712
},
{
"x": 1540,
"y": 0,
"w": 356,
"h": 712
},
{
"x": 0,
"y": 0,
"w": 2370,
"h": 712
}
]
},
"media_results": {
"result": {
"media_key": "3_1943729334465835008"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/sgGFgsYR4O",
"expanded_url": "https://x.com/keyonV/status/1943730604228419791/photo/1",
"id_str": "1943729334465835008",
"indices": [
165,
188
],
"media_key": "3_1943729334465835008",
"media_url_https": "https://pbs.twimg.com/media/GvmDiAhXsAAWfdw.png",
"type": "photo",
"url": "https://t.co/sgGFgsYR4O",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 615,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 361,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 204,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 712,
"width": 2370,
"focus_rects": [
{
"x": 1083,
"y": 0,
"w": 1271,
"h": 712
},
{
"x": 1362,
"y": 0,
"w": 712,
"h": 712
},
{
"x": 1406,
"y": 0,
"w": 625,
"h": 712
},
{
"x": 1540,
"y": 0,
"w": 356,
"h": 712
},
{
"x": 0,
"y": 0,
"w": 2370,
"h": 712
}
]
},
"media_results": {
"result": {
"media_key": "3_1943729334465835008"
}
}
}
]
},
"favorite_count": 170,
"favorited": false,
"full_text": "Inductive bias probes can test this hypothesis more generally.\n\nModels are much likelier to conflate two separate states when they share the same legal next-tokens. https://t.co/sgGFgsYR4O",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730596246585711",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 3,
"reply_count": 1,
"retweet_count": 2,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730604228419791"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943730495264584079-tweet-1943730611639750710",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730611639750710",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730611639750710"
],
"editable_until_msecs": "1752260065000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "19437",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 53,
"bookmarked": false,
"created_at": "Fri Jul 11 17:54:25 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
280
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 280,
"favorited": false,
"full_text": "Summary:\n1. We propose inductive bias probes: a model's inductive bias reveals its world model\n\n2. Foundation models can have great predictions with poor world models\n\n3. One reason world models are poor: models group together distinct states that have similar allowed next-tokens",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730604228419791",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"quote_count": 3,
"reply_count": 7,
"retweet_count": 11,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730611639750710"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943730495264584079-tweet-1943730618702926042",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730618702926042",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730618702926042"
],
"editable_until_msecs": "1752260066000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "25235",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"quoted_status_result": {
"result": {
"__typename": "Tweet",
"rest_id": "1803838591371555252",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1803838591371555252"
],
"editable_until_msecs": "1718907208000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "838024",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 2225,
"bookmarked": false,
"created_at": "Thu Jun 20 17:13:28 +0000 2024",
"conversation_id_str": "1803838591371555252",
"display_text_range": [
0,
280
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/5z6sglnRIQ",
"expanded_url": "https://x.com/keyonV/status/1803838591371555252/photo/1",
"id_str": "1803817409167384578",
"indices": [
281,
304
],
"media_key": "3_1803817409167384578",
"media_url_https": "https://pbs.twimg.com/media/GQhyYGkWYAIjT7t.jpg",
"type": "photo",
"url": "https://t.co/5z6sglnRIQ",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1376,
"w": 1218,
"resize": "fit"
},
"medium": {
"h": 1200,
"w": 1062,
"resize": "fit"
},
"small": {
"h": 680,
"w": 602,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1376,
"width": 1218,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1218,
"h": 682
},
{
"x": 0,
"y": 0,
"w": 1218,
"h": 1218
},
{
"x": 11,
"y": 0,
"w": 1207,
"h": 1376
},
{
"x": 530,
"y": 0,
"w": 688,
"h": 1376
},
{
"x": 0,
"y": 0,
"w": 1218,
"h": 1376
}
]
},
"media_results": {
"result": {
"media_key": "3_1803817409167384578"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/5z6sglnRIQ",
"expanded_url": "https://x.com/keyonV/status/1803838591371555252/photo/1",
"id_str": "1803817409167384578",
"indices": [
281,
304
],
"media_key": "3_1803817409167384578",
"media_url_https": "https://pbs.twimg.com/media/GQhyYGkWYAIjT7t.jpg",
"type": "photo",
"url": "https://t.co/5z6sglnRIQ",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1376,
"w": 1218,
"resize": "fit"
},
"medium": {
"h": 1200,
"w": 1062,
"resize": "fit"
},
"small": {
"h": 680,
"w": 602,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1376,
"width": 1218,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1218,
"h": 682
},
{
"x": 0,
"y": 0,
"w": 1218,
"h": 1218
},
{
"x": 11,
"y": 0,
"w": 1207,
"h": 1376
},
{
"x": 530,
"y": 0,
"w": 688,
"h": 1376
},
{
"x": 0,
"y": 0,
"w": 1218,
"h": 1376
}
]
},
"media_results": {
"result": {
"media_key": "3_1803817409167384578"
}
}
}
]
},
"favorite_count": 3056,
"favorited": false,
"full_text": "New paper: How can you tell if a transformer has the right world model?\n\nWe trained a transformer to predict directions for NYC taxi rides. The model was good. It could find shortest paths between new points\n\nBut had it built a map of NYC? We reconstructed its map and found this: https://t.co/5z6sglnRIQ",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 100,
"reply_count": 50,
"retweet_count": 409,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1803838591371555252"
}
}
},
"legacy": {
"bookmark_count": 28,
"bookmarked": false,
"created_at": "Fri Jul 11 17:54:26 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
278
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "x.com/keyonV/status/…",
"expanded_url": "https://x.com/keyonV/status/1803838591371555252",
"url": "https://t.co/CwqGY6obUV",
"indices": [
255,
278
]
}
],
"user_mentions": []
},
"favorite_count": 179,
"favorited": false,
"full_text": "Last year we proposed different tests that studied single tasks.\n\nWe now think that studying behavior on new tasks better captures what we want from foundation models: tools for new problems.\n\nIt's what separates Newton's laws from Kepler's predictions.\n\nhttps://t.co/CwqGY6obUV",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730611639750710",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": true,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"quoted_status_id_str": "1803838591371555252",
"quoted_status_permalink": {
"url": "https://t.co/CwqGY6obUV",
"expanded": "https://x.com/keyonV/status/1803838591371555252",
"display": "x.com/keyonV/status/…"
},
"reply_count": 3,
"retweet_count": 4,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730618702926042"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943730495264584079-tweet-1943730629171941617",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730629171941617",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"card": {
"rest_id": "https://t.co/IYKF2RmHn7",
"legacy": {
"binding_values": [
{
"key": "thumbnail_image",
"value": {
"image_value": {
"height": 144,
"width": 144,
"url": "https://pbs.twimg.com/card_img/1952299209660497920/Do_KThjp?format=jpg&name=144x144_2"
},
"type": "IMAGE"
}
},
{
"key": "description",
"value": {
"string_value": "Date: Friday, July 18 2025 Time: 8:45am - 5:15pm (Pacific Time) Location: West Ballroom B at ICML 2025 in Vancouver, Canada (Same Floor as Registration)",
"type": "STRING"
}
},
{
"key": "domain",
"value": {
"string_value": "www.worldmodelworkshop.org",
"type": "STRING"
}
},
{
"key": "thumbnail_image_large",
"value": {
"image_value": {
"height": 420,
"width": 420,
"url": "https://pbs.twimg.com/card_img/1952299209660497920/Do_KThjp?format=jpg&name=420x420_2"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_original",
"value": {
"image_value": {
"height": 1386,
"width": 1024,
"url": "https://pbs.twimg.com/card_img/1952299209660497920/Do_KThjp?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_small",
"value": {
"image_value": {
"height": 100,
"width": 100,
"url": "https://pbs.twimg.com/card_img/1952299209660497920/Do_KThjp?format=jpg&name=100x100_2"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_x_large",
"value": {
"image_value": {
"height": 1386,
"width": 1024,
"url": "https://pbs.twimg.com/card_img/1952299209660497920/Do_KThjp?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "vanity_url",
"value": {
"scribe_key": "vanity_url",
"string_value": "worldmodelworkshop.org",
"type": "STRING"
}
},
{
"key": "thumbnail_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 52,
"green": 39,
"red": 27
},
"percentage": 79.14
},
{
"rgb": {
"blue": 98,
"green": 155,
"red": 117
},
"percentage": 10.41
},
{
"rgb": {
"blue": 148,
"green": 172,
"red": 186
},
"percentage": 7.25
},
{
"rgb": {
"blue": 99,
"green": 107,
"red": 108
},
"percentage": 1.72
},
{
"rgb": {
"blue": 106,
"green": 120,
"red": 77
},
"percentage": 1.5
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "title",
"value": {
"string_value": "ICML Workshop on Assessing World Models",
"type": "STRING"
}
},
{
"key": "card_url",
"value": {
"scribe_key": "card_url",
"string_value": "https://t.co/IYKF2RmHn7",
"type": "STRING"
}
}
],
"card_platform": {
"platform": {
"audience": {
"name": "production"
},
"device": {
"name": "Android",
"version": "12"
}
}
},
"name": "summary",
"url": "https://t.co/IYKF2RmHn7",
"user_refs_results": []
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730629171941617"
],
"editable_until_msecs": "1752260069000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "17854",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 37,
"bookmarked": false,
"created_at": "Fri Jul 11 17:54:29 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
240
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "worldmodelworkshop.org",
"expanded_url": "https://worldmodelworkshop.org",
"url": "https://t.co/IYKF2RmHn7",
"indices": [
217,
240
]
}
],
"user_mentions": []
},
"favorite_count": 206,
"favorited": false,
"full_text": "This is one way to evaluate world models. But there are many other interesting approaches.\n\nPlug: If you're interested in more, check out the Workshop on Assessing World Models I'm co-organizing next Friday at ICML.\n\nhttps://t.co/IYKF2RmHn7",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730618702926042",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 6,
"retweet_count": 5,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730629171941617"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943730495264584079-tweet-1943730646146273463",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730646146273463",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"card": {
"rest_id": "https://t.co/DGJvqTWD3O",
"legacy": {
"binding_values": [
{
"key": "thumbnail_image",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 144,
"width": 144,
"url": "https://pbs.twimg.com/card_img/1952295676374810624/xxWiRL_6?format=jpg&name=144x144_2"
},
"type": "IMAGE"
}
},
{
"key": "description",
"value": {
"string_value": "Foundation models are premised on the idea that sequence prediction can uncover deeper domain understanding, much like how Kepler's predictions of planetary motion later led to the discovery of...",
"type": "STRING"
}
},
{
"key": "domain",
"value": {
"string_value": "arxiv.org",
"type": "STRING"
}
},
{
"key": "thumbnail_image_large",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 420,
"width": 420,
"url": "https://pbs.twimg.com/card_img/1952295676374810624/xxWiRL_6?format=jpg&name=420x420_2"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_original",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 1000,
"width": 1000,
"url": "https://pbs.twimg.com/card_img/1952295676374810624/xxWiRL_6?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "site",
"value": {
"scribe_key": "publisher_id",
"type": "USER",
"user_value": {
"id_str": "808633423300624384",
"path": []
}
}
},
{
"key": "thumbnail_image_small",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 100,
"width": 100,
"url": "https://pbs.twimg.com/card_img/1952295676374810624/xxWiRL_6?format=jpg&name=100x100_2"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_x_large",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 1000,
"width": 1000,
"url": "https://pbs.twimg.com/card_img/1952295676374810624/xxWiRL_6?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_alt_text",
"value": {
"string_value": "arXiv logo",
"type": "STRING"
}
},
{
"key": "vanity_url",
"value": {
"scribe_key": "vanity_url",
"string_value": "arxiv.org",
"type": "STRING"
}
},
{
"key": "thumbnail_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 255,
"green": 255,
"red": 255
},
"percentage": 94.17
},
{
"rgb": {
"blue": 105,
"green": 116,
"red": 124
},
"percentage": 4.33
},
{
"rgb": {
"blue": 46,
"green": 21,
"red": 170
},
"percentage": 1.26
},
{
"rgb": {
"blue": 131,
"green": 116,
"red": 203
},
"percentage": 0.23
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "title",
"value": {
"string_value": "What Has a Foundation Model Found? Using Inductive Bias to Probe...",
"type": "STRING"
}
},
{
"key": "card_url",
"value": {
"scribe_key": "card_url",
"string_value": "https://t.co/DGJvqTWD3O",
"type": "STRING"
}
}
],
"card_platform": {
"platform": {
"audience": {
"name": "production"
},
"device": {
"name": "Android",
"version": "12"
}
}
},
"name": "summary",
"url": "https://t.co/DGJvqTWD3O",
"user_refs_results": [
{
"result": {
"__typename": "User",
"id": "VXNlcjo4MDg2MzM0MjMzMDA2MjQzODQ=",
"rest_id": "808633423300624384",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Tue Dec 13 11:23:26 +0000 2016",
"default_profile": false,
"default_profile_image": false,
"description": "News from https://t.co/enurGFxpcS, a free distribution service and an open archive for scholarly articles.\n\nFor help with arXiv, see https://t.co/LcWuhM0BOl",
"entities": {
"description": {
"urls": [
{
"display_url": "arXiv.org",
"expanded_url": "http://arXiv.org",
"url": "https://t.co/enurGFxpcS",
"indices": [
10,
33
]
},
{
"display_url": "arxiv.org/help",
"expanded_url": "https://arxiv.org/help",
"url": "https://t.co/LcWuhM0BOl",
"indices": [
133,
156
]
}
]
},
"url": {
"urls": [
{
"display_url": "arxiv.org",
"expanded_url": "https://arxiv.org/",
"url": "https://t.co/DHMkdi4lF9",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 948,
"followers_count": 41366,
"friends_count": 187,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 487,
"location": "Ithaca, NY",
"media_count": 109,
"name": "arXiv.org",
"normal_followers_count": 41366,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/808633423300624384/1481635469",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1365352170267299840/IzvjKckL_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "arxiv",
"statuses_count": 1106,
"translator_type": "none",
"url": "https://t.co/DHMkdi4lF9",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
]
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730646146273463"
],
"editable_until_msecs": "1752260073000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "19173",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 122,
"bookmarked": false,
"created_at": "Fri Jul 11 17:54:33 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
142
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "arxiv.org/abs/2507.06952",
"expanded_url": "https://arxiv.org/abs/2507.06952",
"url": "https://t.co/DGJvqTWD3O",
"indices": [
7,
30
]
}
],
"user_mentions": [
{
"id_str": "1522470537099837440",
"name": "ᴘᴇᴛᴇʀ ɢ. ᴄʜᴀɴɢ",
"screen_name": "petergchang",
"indices": [
57,
69
]
},
{
"id_str": "534776489",
"name": "Ashesh Rambachan",
"screen_name": "asheshrambachan",
"indices": [
90,
106
]
},
{
"id_str": "405124125",
"name": "𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧",
"screen_name": "m_sendhil",
"indices": [
131,
141
]
}
]
},
"favorite_count": 279,
"favorited": false,
"full_text": "Paper: https://t.co/DGJvqTWD3O\n\nCo-authors: Peter Chang (@petergchang), Ashesh Rambachan (@asheshrambachan), Sendhil Mullainathan (@m_sendhil)",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730629171941617",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "hi",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 21,
"retweet_count": 14,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730646146273463"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1943730604228419791"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943865740651901177",
"sortIndex": "1953477635254255596",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1943865740651901177-tweet-1943865740651901177",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943865740651901177",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozMzQ4OTUyMzQ3",
"rest_id": "3348952347",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sun Jun 28 12:50:39 +0000 2015",
"default_profile": true,
"default_profile_image": false,
"description": "JAX/Flax @ Google DeepMind | Open Source | 🇨🇴",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 58425,
"followers_count": 8973,
"friends_count": 1334,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 129,
"location": "",
"media_count": 1174,
"name": "Cristian Garcia",
"normal_followers_count": 8973,
"pinned_tweet_ids_str": [
"1847629643605508210"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3348952347/1722703717",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1905489047751098368/WYvIMBdg_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "cgarciae88",
"statuses_count": 9891,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943865740651901177"
],
"editable_until_msecs": "1752292282000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "7693",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sat Jul 12 02:51:22 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
8,
125
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "346719335",
"name": "Keyon Vafa",
"screen_name": "keyonV",
"indices": [
0,
7
]
}
]
},
"favorite_count": 14,
"favorited": false,
"full_text": "@keyonV hey very cool work! \n\nQ: are you using the term LLM to mean a transformer or are you literally giving it text inputs?",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730486280331460",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "3348952347",
"id_str": "1943865740651901177"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943865740651901177-tweet-1943867161459544338",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943867161459544338",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943867161459544338"
],
"editable_until_msecs": "1752292621000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "6981",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"quoted_status_result": {
"result": {
"__typename": "Tweet",
"rest_id": "1943730574943719574",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943730574943719574"
],
"editable_until_msecs": "1752260056000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "33760",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 13,
"bookmarked": false,
"created_at": "Fri Jul 11 17:54:16 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
0,
279
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/WdRrjDp0br",
"expanded_url": "https://x.com/keyonV/status/1943730574943719574/photo/1",
"id_str": "1943728870592573440",
"indices": [
280,
303
],
"media_key": "3_1943728870592573440",
"media_url_https": "https://pbs.twimg.com/media/GvmDHAdXcAAHy-r.jpg",
"type": "photo",
"url": "https://t.co/WdRrjDp0br",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 53,
"y": 151,
"h": 143,
"w": 143
},
{
"x": 1546,
"y": 161,
"h": 137,
"w": 137
},
{
"x": 1542,
"y": 111,
"h": 143,
"w": 143
},
{
"x": 1544,
"y": 455,
"h": 141,
"w": 141
},
{
"x": 51,
"y": 894,
"h": 147,
"w": 147
}
]
},
"medium": {
"faces": [
{
"x": 31,
"y": 88,
"h": 83,
"w": 83
},
{
"x": 907,
"y": 94,
"h": 80,
"w": 80
},
{
"x": 905,
"y": 65,
"h": 83,
"w": 83
},
{
"x": 906,
"y": 267,
"h": 82,
"w": 82
},
{
"x": 29,
"y": 524,
"h": 86,
"w": 86
}
]
},
"small": {
"faces": [
{
"x": 17,
"y": 50,
"h": 47,
"w": 47
},
{
"x": 514,
"y": 53,
"h": 45,
"w": 45
},
{
"x": 512,
"y": 36,
"h": 47,
"w": 47
},
{
"x": 513,
"y": 151,
"h": 46,
"w": 46
},
{
"x": 16,
"y": 297,
"h": 48,
"w": 48
}
]
},
"orig": {
"faces": [
{
"x": 53,
"y": 151,
"h": 143,
"w": 143
},
{
"x": 1546,
"y": 161,
"h": 137,
"w": 137
},
{
"x": 1542,
"y": 111,
"h": 143,
"w": 143
},
{
"x": 1544,
"y": 455,
"h": 141,
"w": 141
},
{
"x": 51,
"y": 894,
"h": 147,
"w": 147
}
]
}
},
"sizes": {
"large": {
"h": 1300,
"w": 2044,
"resize": "fit"
},
"medium": {
"h": 763,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 432,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1300,
"width": 2044,
"focus_rects": [
{
"x": 0,
"y": 155,
"w": 2044,
"h": 1145
},
{
"x": 372,
"y": 0,
"w": 1300,
"h": 1300
},
{
"x": 452,
"y": 0,
"w": 1140,
"h": 1300
},
{
"x": 697,
"y": 0,
"w": 650,
"h": 1300
},
{
"x": 0,
"y": 0,
"w": 2044,
"h": 1300
}
]
},
"media_results": {
"result": {
"media_key": "3_1943728870592573440"
}
}
},
{
"display_url": "pic.x.com/WdRrjDp0br",
"expanded_url": "https://x.com/keyonV/status/1943730574943719574/photo/1",
"id_str": "1943728892935651328",
"indices": [
280,
303
],
"media_key": "3_1943728892935651328",
"media_url_https": "https://pbs.twimg.com/media/GvmDITsXwAAwKKf.jpg",
"type": "photo",
"url": "https://t.co/WdRrjDp0br",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 12,
"y": 820,
"h": 102,
"w": 102
},
{
"x": 5,
"y": 93,
"h": 121,
"w": 121
},
{
"x": 581,
"y": 719,
"h": 197,
"w": 197
}
]
},
"medium": {
"faces": [
{
"x": 7,
"y": 543,
"h": 67,
"w": 67
},
{
"x": 3,
"y": 61,
"h": 80,
"w": 80
},
{
"x": 385,
"y": 476,
"h": 130,
"w": 130
}
]
},
"small": {
"faces": [
{
"x": 4,
"y": 308,
"h": 38,
"w": 38
},
{
"x": 1,
"y": 34,
"h": 45,
"w": 45
},
{
"x": 218,
"y": 270,
"h": 74,
"w": 74
}
]
},
"orig": {
"faces": [
{
"x": 12,
"y": 820,
"h": 102,
"w": 102
},
{
"x": 5,
"y": 93,
"h": 121,
"w": 121
},
{
"x": 581,
"y": 719,
"h": 197,
"w": 197
}
]
}
},
"sizes": {
"large": {
"h": 1420,
"w": 1810,
"resize": "fit"
},
"medium": {
"h": 941,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 533,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1420,
"width": 1810,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1810,
"h": 1014
},
{
"x": 390,
"y": 0,
"w": 1420,
"h": 1420
},
{
"x": 564,
"y": 0,
"w": 1246,
"h": 1420
},
{
"x": 1047,
"y": 0,
"w": 710,
"h": 1420
},
{
"x": 0,
"y": 0,
"w": 1810,
"h": 1420
}
]
},
"media_results": {
"result": {
"media_key": "3_1943728892935651328"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/WdRrjDp0br",
"expanded_url": "https://x.com/keyonV/status/1943730574943719574/photo/1",
"id_str": "1943728870592573440",
"indices": [
280,
303
],
"media_key": "3_1943728870592573440",
"media_url_https": "https://pbs.twimg.com/media/GvmDHAdXcAAHy-r.jpg",
"type": "photo",
"url": "https://t.co/WdRrjDp0br",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 53,
"y": 151,
"h": 143,
"w": 143
},
{
"x": 1546,
"y": 161,
"h": 137,
"w": 137
},
{
"x": 1542,
"y": 111,
"h": 143,
"w": 143
},
{
"x": 1544,
"y": 455,
"h": 141,
"w": 141
},
{
"x": 51,
"y": 894,
"h": 147,
"w": 147
}
]
},
"medium": {
"faces": [
{
"x": 31,
"y": 88,
"h": 83,
"w": 83
},
{
"x": 907,
"y": 94,
"h": 80,
"w": 80
},
{
"x": 905,
"y": 65,
"h": 83,
"w": 83
},
{
"x": 906,
"y": 267,
"h": 82,
"w": 82
},
{
"x": 29,
"y": 524,
"h": 86,
"w": 86
}
]
},
"small": {
"faces": [
{
"x": 17,
"y": 50,
"h": 47,
"w": 47
},
{
"x": 514,
"y": 53,
"h": 45,
"w": 45
},
{
"x": 512,
"y": 36,
"h": 47,
"w": 47
},
{
"x": 513,
"y": 151,
"h": 46,
"w": 46
},
{
"x": 16,
"y": 297,
"h": 48,
"w": 48
}
]
},
"orig": {
"faces": [
{
"x": 53,
"y": 151,
"h": 143,
"w": 143
},
{
"x": 1546,
"y": 161,
"h": 137,
"w": 137
},
{
"x": 1542,
"y": 111,
"h": 143,
"w": 143
},
{
"x": 1544,
"y": 455,
"h": 141,
"w": 141
},
{
"x": 51,
"y": 894,
"h": 147,
"w": 147
}
]
}
},
"sizes": {
"large": {
"h": 1300,
"w": 2044,
"resize": "fit"
},
"medium": {
"h": 763,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 432,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1300,
"width": 2044,
"focus_rects": [
{
"x": 0,
"y": 155,
"w": 2044,
"h": 1145
},
{
"x": 372,
"y": 0,
"w": 1300,
"h": 1300
},
{
"x": 452,
"y": 0,
"w": 1140,
"h": 1300
},
{
"x": 697,
"y": 0,
"w": 650,
"h": 1300
},
{
"x": 0,
"y": 0,
"w": 2044,
"h": 1300
}
]
},
"media_results": {
"result": {
"media_key": "3_1943728870592573440"
}
}
},
{
"display_url": "pic.x.com/WdRrjDp0br",
"expanded_url": "https://x.com/keyonV/status/1943730574943719574/photo/1",
"id_str": "1943728892935651328",
"indices": [
280,
303
],
"media_key": "3_1943728892935651328",
"media_url_https": "https://pbs.twimg.com/media/GvmDITsXwAAwKKf.jpg",
"type": "photo",
"url": "https://t.co/WdRrjDp0br",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 12,
"y": 820,
"h": 102,
"w": 102
},
{
"x": 5,
"y": 93,
"h": 121,
"w": 121
},
{
"x": 581,
"y": 719,
"h": 197,
"w": 197
}
]
},
"medium": {
"faces": [
{
"x": 7,
"y": 543,
"h": 67,
"w": 67
},
{
"x": 3,
"y": 61,
"h": 80,
"w": 80
},
{
"x": 385,
"y": 476,
"h": 130,
"w": 130
}
]
},
"small": {
"faces": [
{
"x": 4,
"y": 308,
"h": 38,
"w": 38
},
{
"x": 1,
"y": 34,
"h": 45,
"w": 45
},
{
"x": 218,
"y": 270,
"h": 74,
"w": 74
}
]
},
"orig": {
"faces": [
{
"x": 12,
"y": 820,
"h": 102,
"w": 102
},
{
"x": 5,
"y": 93,
"h": 121,
"w": 121
},
{
"x": 581,
"y": 719,
"h": 197,
"w": 197
}
]
}
},
"sizes": {
"large": {
"h": 1420,
"w": 1810,
"resize": "fit"
},
"medium": {
"h": 941,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 533,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1420,
"width": 1810,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1810,
"h": 1014
},
{
"x": 390,
"y": 0,
"w": 1420,
"h": 1420
},
{
"x": 564,
"y": 0,
"w": 1246,
"h": 1420
},
{
"x": 1047,
"y": 0,
"w": 710,
"h": 1420
},
{
"x": 0,
"y": 0,
"w": 1810,
"h": 1420
}
]
},
"media_results": {
"result": {
"media_key": "3_1943728892935651328"
}
}
}
]
},
"favorite_count": 214,
"favorited": false,
"full_text": "Would more general models like LLMs do better?\n\nWe tried providing o3, Claude Sonnet 4, and Gemini 2.5 Pro with a small number of force magnitudes in-context w/o saying what they are.\n\nThese LLMs are explicitly trained on Newton's laws. But they can't get the rest of the forces. https://t.co/WdRrjDp0br",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730565397500226",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 3,
"reply_count": 5,
"retweet_count": 5,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943730574943719574"
}
}
},
"legacy": {
"bookmark_count": 3,
"bookmarked": false,
"created_at": "Sat Jul 12 02:57:01 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
12,
168
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "x.com/keyonV/status/…",
"expanded_url": "https://x.com/keyonV/status/1943730574943719574",
"url": "https://t.co/MeDYu4H8Zf",
"indices": [
145,
168
]
}
],
"user_mentions": [
{
"id_str": "3348952347",
"name": "Cristian Garcia",
"screen_name": "cgarciae88",
"indices": [
0,
11
]
}
]
},
"favorite_count": 35,
"favorited": false,
"full_text": "@cgarciae88 Thanks! Main results are for transformers trained on orbits tokenized as X,Y coordinates. But we also try LLMs and text inputs here: https://t.co/MeDYu4H8Zf",
"in_reply_to_screen_name": "cgarciae88",
"in_reply_to_status_id_str": "1943865740651901177",
"in_reply_to_user_id_str": "3348952347",
"is_quote_status": true,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"quoted_status_id_str": "1943730574943719574",
"quoted_status_permalink": {
"url": "https://t.co/MeDYu4H8Zf",
"expanded": "https://x.com/keyonV/status/1943730574943719574",
"display": "x.com/keyonV/status/…"
},
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1943867161459544338"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1943867161459544338"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943979616286519430",
"sortIndex": "1953477635254255586",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1943979616286519430-tweet-1943979616286519430",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943979616286519430",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMTAzMDA4MTEzMTQ0Mjg3MjMy",
"rest_id": "1103008113144287232",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Tue Mar 05 19:03:21 +0000 2019",
"default_profile": true,
"default_profile_image": false,
"description": "👎: suffering | 👍: EA, AI alignment, decoupling, R, cringe, amateur pharmacology + programming | Georgetown ‘22 (math+econ+phil) | Career status: 🤷♂️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "aaronbergman.net",
"expanded_url": "http://www.aaronbergman.net",
"url": "https://t.co/HWeYveuBlB",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 172932,
"followers_count": 3890,
"friends_count": 1826,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 45,
"location": "DCish",
"media_count": 2901,
"name": "Aaron Bergman 🔍 ⏸️ (in that order)",
"normal_followers_count": 3890,
"pinned_tweet_ids_str": [
"1793447603629076824"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1103008113144287232/1747956440",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1876854317694517248/a4tSFXMr_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "AaronBergman18",
"statuses_count": 33801,
"translator_type": "none",
"url": "https://t.co/HWeYveuBlB",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {
"is_enabled": true,
"venmo_handle": "Aaron-Bergman-5"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943979616286519430"
],
"editable_until_msecs": "1752319432000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1725",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 1,
"bookmarked": false,
"created_at": "Sat Jul 12 10:23:52 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
19,
206
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "346719335",
"name": "Keyon Vafa",
"screen_name": "keyonV",
"indices": [
0,
7
]
},
{
"id_str": "1064114381980495872",
"name": "Gabriel",
"screen_name": "gbrl_dick",
"indices": [
8,
18
]
}
]
},
"favorite_count": 4,
"favorited": false,
"full_text": "@keyonV @gbrl_dick I’m not sure if this is the best terminology but I’ve been using the terms “models” for world models here and “metaphors” for predictions in my head\n\n“Models vs metaphors” is kinda catchy",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730486280331460",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1103008113144287232",
"id_str": "1943979616286519430"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943979616286519430-tweet-1944896603376005467",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1944896603376005467",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1944896603376005467"
],
"editable_until_msecs": "1752538059000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "490",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jul 14 23:07:39 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
27,
48
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1103008113144287232",
"name": "Aaron Bergman 🔍 ⏸️ (in that order)",
"screen_name": "AaronBergman18",
"indices": [
0,
15
]
},
{
"id_str": "1064114381980495872",
"name": "Gabriel",
"screen_name": "gbrl_dick",
"indices": [
16,
26
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@AaronBergman18 @gbrl_dick “Metaphors” is great!",
"in_reply_to_screen_name": "AaronBergman18",
"in_reply_to_status_id_str": "1943979616286519430",
"in_reply_to_user_id_str": "1103008113144287232",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1944896603376005467"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1944896603376005467"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1944117765608288295",
"sortIndex": "1953477635254255576",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1944117765608288295-tweet-1944117765608288295",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1944117765608288295",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo2NTM4NTI3NA==",
"rest_id": "65385274",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Thu Aug 13 15:14:48 +0000 2009",
"default_profile": false,
"default_profile_image": false,
"description": "My opinions only here.\n👨🔬 RS @DeepMind, @Midjourney 1y 🧑🎓 DPhil @AIMS_oxford @UniofOxford 4.5y 🧙♂️ RE DeepMind 1y 📺 SWE @Google 3y 🎓 TUM \n👤 @nwspk",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "blackhc.net",
"expanded_url": "http://blackhc.net",
"url": "https://t.co/qb3l4v3Boy",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 79958,
"followers_count": 13572,
"friends_count": 6001,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 143,
"location": "Oxford, England",
"media_count": 846,
"name": "Andreas Kirsch 🇺🇦",
"normal_followers_count": 13572,
"pinned_tweet_ids_str": [
"1876756951805329413"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/65385274/1654839905",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1769135517784756224/CEDlQZDc_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "BlackHC",
"statuses_count": 12187,
"translator_type": "none",
"url": "https://t.co/qb3l4v3Boy",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1588864668327706626",
"professional_type": "Creator",
"category": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1944117765608288295"
],
"editable_until_msecs": "1752352369000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1752",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 2,
"bookmarked": false,
"created_at": "Sat Jul 12 19:32:49 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
8,
90
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "346719335",
"name": "Keyon Vafa",
"screen_name": "keyonV",
"indices": [
0,
7
]
}
]
},
"favorite_count": 4,
"favorited": false,
"full_text": "@keyonV How do you define inductive bias? Aren't inductive biases independent of the data?",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730486280331460",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 2,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "65385274",
"id_str": "1944117765608288295"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1944117765608288295-tweet-1944884201070977288",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1944884201070977288",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1944884201070977288"
],
"editable_until_msecs": "1752535102000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "715",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 1,
"bookmarked": false,
"created_at": "Mon Jul 14 22:18:22 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
9,
211
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "65385274",
"name": "Andreas Kirsch 🇺🇦",
"screen_name": "BlackHC",
"indices": [
0,
8
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@BlackHC Informally we define inductive bias as the types of functions a model tends to fit from finite data. \n\nSo you’re right—it’s not about a single dataset but rather a model’s behavior across many datasets.",
"in_reply_to_screen_name": "BlackHC",
"in_reply_to_status_id_str": "1944117765608288295",
"in_reply_to_user_id_str": "65385274",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1944884201070977288"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1944117765608288295-cursor-showmore-2011130003",
"item": {
"itemContent": {
"itemType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAABCwABAAAAMEVtUEM2d0FBQUFNL2dHSk4wdkdwL0FBQUFBSWEvWjNnWGhyaENCcjY1TTYwbTdBbggAAgAAAAYKAAMa-uTOtJuwJw8ABAoAAAACGvrkzrSbsCca_Z3gXhrhCAAA",
"cursorType": "ShowMore",
"displayTreatment": {
"actionText": "Show replies"
}
},
"clientEventInfo": {
"component": "cursor",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1944884201070977288"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943775343321788419",
"sortIndex": "1953477635254255566",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1943775343321788419-tweet-1943775343321788419",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943775343321788419",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo1NTM4ODg3ODA=",
"rest_id": "553888780",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Sat Apr 14 22:41:01 +0000 2012",
"default_profile": false,
"default_profile_image": false,
"description": "Founder of @SiriusQuantum ⚛️ Quantum/Acc DeSci https://t.co/RhZd6eQlSl prev @Apple",
"entities": {
"description": {
"urls": [
{
"display_url": "bioacc.life",
"expanded_url": "http://bioacc.life",
"url": "https://t.co/RhZd6eQlSl",
"indices": [
47,
70
]
}
]
},
"url": {
"urls": [
{
"display_url": "siriusquantum.vercel.app",
"expanded_url": "https://siriusquantum.vercel.app",
"url": "https://t.co/BdMmqmefdK",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 12189,
"followers_count": 558,
"friends_count": 686,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 13,
"location": "Cambridge, UK",
"media_count": 210,
"name": "Derya Karli",
"normal_followers_count": 558,
"pinned_tweet_ids_str": [
"1942312274921697409"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1924091346035396608/jF3s61Li_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "DeryaKarl",
"statuses_count": 2276,
"translator_type": "none",
"url": "https://t.co/BdMmqmefdK",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943775343321788419"
],
"editable_until_msecs": "1752270730000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1335",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Jul 11 20:52:10 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
8,
104
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "346719335",
"name": "Keyon Vafa",
"screen_name": "keyonV",
"indices": [
0,
7
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@keyonV Great work! Would you mind to share more about datasets being used to train world models? Thanks",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730486280331460",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "553888780",
"id_str": "1943775343321788419"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943775343321788419-tweet-1944890340067955055",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1944890340067955055",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"card": {
"rest_id": "https://t.co/2dKKDKe9uT",
"legacy": {
"binding_values": [
{
"key": "photo_image_full_size_large",
"value": {
"image_value": {
"height": 419,
"width": 800,
"url": "https://pbs.twimg.com/card_img/1952516833044795392/4oOvTc3J?format=jpg&name=800x419"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image",
"value": {
"image_value": {
"height": 200,
"width": 400,
"url": "https://pbs.twimg.com/card_img/1952516833044795392/4oOvTc3J?format=jpg&name=400x400"
},
"type": "IMAGE"
}
},
{
"key": "description",
"value": {
"string_value": "Contribute to keyonvafa/inductive-bias-probes development by creating an account on GitHub.",
"type": "STRING"
}
},
{
"key": "domain",
"value": {
"string_value": "github.com",
"type": "STRING"
}
},
{
"key": "thumbnail_image_large",
"value": {
"image_value": {
"height": 300,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1952516833044795392/4oOvTc3J?format=jpg&name=600x600"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image_small",
"value": {
"image_value": {
"height": 202,
"width": 386,
"url": "https://pbs.twimg.com/card_img/1952516833044795392/4oOvTc3J?format=jpg&name=386x202"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_original",
"value": {
"image_value": {
"height": 600,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1952516833044795392/4oOvTc3J?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "site",
"value": {
"scribe_key": "publisher_id",
"type": "USER",
"user_value": {
"id_str": "13334762",
"path": []
}
}
},
{
"key": "photo_image_full_size_small",
"value": {
"image_value": {
"height": 202,
"width": 386,
"url": "https://pbs.twimg.com/card_img/1952516833044795392/4oOvTc3J?format=jpg&name=386x202"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image_large",
"value": {
"image_value": {
"height": 419,
"width": 800,
"url": "https://pbs.twimg.com/card_img/1952516833044795392/4oOvTc3J?format=jpg&name=800x419"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_small",
"value": {
"image_value": {
"height": 72,
"width": 144,
"url": "https://pbs.twimg.com/card_img/1952516833044795392/4oOvTc3J?format=jpg&name=144x144"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_x_large",
"value": {
"image_value": {
"height": 600,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1952516833044795392/4oOvTc3J?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_original",
"value": {
"image_value": {
"height": 600,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1952516833044795392/4oOvTc3J?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_alt_text",
"value": {
"string_value": "Contribute to keyonvafa/inductive-bias-probes development by creating an account on GitHub.",
"type": "STRING"
}
},
{
"key": "vanity_url",
"value": {
"scribe_key": "vanity_url",
"string_value": "github.com",
"type": "STRING"
}
},
{
"key": "photo_image_full_size",
"value": {
"image_value": {
"height": 314,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1952516833044795392/4oOvTc3J?format=jpg&name=600x314"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image_alt_text",
"value": {
"string_value": "Contribute to keyonvafa/inductive-bias-probes development by creating an account on GitHub.",
"type": "STRING"
}
},
{
"key": "thumbnail_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 255,
"green": 255,
"red": 255
},
"percentage": 89.94
},
{
"rgb": {
"blue": 102,
"green": 104,
"red": 104
},
"percentage": 4.79
},
{
"rgb": {
"blue": 166,
"green": 115,
"red": 53
},
"percentage": 4.42
},
{
"rgb": {
"blue": 117,
"green": 145,
"red": 191
},
"percentage": 0.6
},
{
"rgb": {
"blue": 72,
"green": 59,
"red": 53
},
"percentage": 0.17
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "title",
"value": {
"string_value": "GitHub - keyonvafa/inductive-bias-probes",
"type": "STRING"
}
},
{
"key": "summary_photo_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 255,
"green": 255,
"red": 255
},
"percentage": 89.94
},
{
"rgb": {
"blue": 102,
"green": 104,
"red": 104
},
"percentage": 4.79
},
{
"rgb": {
"blue": 166,
"green": 115,
"red": 53
},
"percentage": 4.42
},
{
"rgb": {
"blue": 117,
"green": 145,
"red": 191
},
"percentage": 0.6
},
{
"rgb": {
"blue": 72,
"green": 59,
"red": 53
},
"percentage": 0.17
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "summary_photo_image_x_large",
"value": {
"image_value": {
"height": 600,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1952516833044795392/4oOvTc3J?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image",
"value": {
"image_value": {
"height": 314,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1952516833044795392/4oOvTc3J?format=jpg&name=600x314"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 255,
"green": 255,
"red": 255
},
"percentage": 89.94
},
{
"rgb": {
"blue": 102,
"green": 104,
"red": 104
},
"percentage": 4.79
},
{
"rgb": {
"blue": 166,
"green": 115,
"red": 53
},
"percentage": 4.42
},
{
"rgb": {
"blue": 117,
"green": 145,
"red": 191
},
"percentage": 0.6
},
{
"rgb": {
"blue": 72,
"green": 59,
"red": 53
},
"percentage": 0.17
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "photo_image_full_size_x_large",
"value": {
"image_value": {
"height": 600,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1952516833044795392/4oOvTc3J?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "card_url",
"value": {
"scribe_key": "card_url",
"string_value": "https://t.co/2dKKDKe9uT",
"type": "STRING"
}
},
{
"key": "summary_photo_image_original",
"value": {
"image_value": {
"height": 600,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1952516833044795392/4oOvTc3J?format=jpg&name=orig"
},
"type": "IMAGE"
}
}
],
"card_platform": {
"platform": {
"audience": {
"name": "production"
},
"device": {
"name": "Android",
"version": "12"
}
}
},
"name": "summary_large_image",
"url": "https://t.co/2dKKDKe9uT",
"user_refs_results": [
{
"result": {
"__typename": "User",
"id": "VXNlcjoxMzMzNDc2Mg==",
"rest_id": "13334762",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Square",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Mon Feb 11 04:41:50 +0000 2008",
"default_profile": false,
"default_profile_image": false,
"description": "The AI-powered developer platform to build, scale, and deliver secure software.",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "github.com",
"expanded_url": "http://github.com",
"url": "https://t.co/bbJgfyzcJR",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 8194,
"followers_count": 2636909,
"friends_count": 327,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 17990,
"location": "San Francisco, CA",
"media_count": 2711,
"name": "GitHub",
"normal_followers_count": 2636909,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/13334762/1747774520",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1633247750010830848/8zfRrYjA_normal.png",
"profile_interstitial_type": "",
"screen_name": "github",
"statuses_count": 9839,
"translator_type": "none",
"url": "https://t.co/bbJgfyzcJR",
"verified": false,
"verified_type": "Business",
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
]
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1944890340067955055"
],
"editable_until_msecs": "1752536566000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "464",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 2,
"bookmarked": false,
"created_at": "Mon Jul 14 22:42:46 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
11,
112
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "github.com/keyonvafa/indu…",
"expanded_url": "https://github.com/keyonvafa/inductive-bias-probes",
"url": "https://t.co/2dKKDKe9uT",
"indices": [
89,
112
]
}
],
"user_mentions": [
{
"id_str": "553888780",
"name": "Derya Karli",
"screen_name": "DeryaKarl",
"indices": [
0,
10
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@DeryaKarl Thanks! Check out the codebase here or feel free to email with more questions https://t.co/2dKKDKe9uT",
"in_reply_to_screen_name": "DeryaKarl",
"in_reply_to_status_id_str": "1943775343321788419",
"in_reply_to_user_id_str": "553888780",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1944890340067955055"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943775343321788419-cursor-showmore-628248585",
"item": {
"itemContent": {
"itemType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAABCwABAAAAMEVtUEM2d0FBQUFNL2dHSk4wdkdwL0FBQUFBSWEvYU4xdHRiUmJ4cjVyV0JOMjdBRAgAAgAAAAYKAAMa-a1gTduwAw8ABAoAAAACGvmtYE3bsAMa_aN1ttbRbwAA",
"cursorType": "ShowMore",
"displayTreatment": {
"actionText": "Show replies"
}
},
"clientEventInfo": {
"component": "cursor",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1944890340067955055"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1944442356855705916",
"sortIndex": "1953477635254255556",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1944442356855705916-tweet-1944442356855705916",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1944442356855705916",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoyOTQ0NTAxMjc5",
"rest_id": "2944501279",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sat Dec 27 02:11:46 +0000 2014",
"default_profile": true,
"default_profile_image": false,
"description": "Ph.D. @Stanford and @uwcse",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "etash.me",
"expanded_url": "http://www.etash.me",
"url": "https://t.co/y1Y4RxigbY",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 351,
"followers_count": 626,
"friends_count": 218,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 6,
"location": "Seattle",
"media_count": 31,
"name": "Etash Guha",
"normal_followers_count": 626,
"pinned_tweet_ids_str": [
"1907837107793702958"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/2944501279/1688268127",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1665627207862210561/AcwpIoQJ_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "etash_guha",
"statuses_count": 263,
"translator_type": "none",
"url": "https://t.co/y1Y4RxigbY",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1944442356855705916"
],
"editable_until_msecs": "1752429758000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "877",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5NDQ0NDIzNTY3MjE1MDAxNjA=",
"text": "Super interesting! I wonder what the best interventions are for getting the models to learn better world models. I’d guess the real goal here is robust generalization? I’d still think more and better data still is the best lever for improving robust generalization. I know you saw architecture made a difference. I wonder what else made a big difference in your study. Thank you!",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
}
}
}
},
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sun Jul 13 17:02:38 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
8,
289
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "346719335",
"name": "Keyon Vafa",
"screen_name": "keyonV",
"indices": [
0,
7
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@keyonV Super interesting! I wonder what the best interventions are for getting the models to learn better world models. I’d guess the real goal here is robust generalization? I’d still think more and better data still is the best lever for improving robust generalization. I know you saw…",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730486280331460",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "2944501279",
"id_str": "1944442356855705916"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1944442356855705916-tweet-1944889762164126018",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1944889762164126018",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDY3MTkzMzU=",
"rest_id": "346719335",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Aug 01 18:43:59 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Postdoctoral fellow at @Harvard_Data | Former computer science PhD with @Blei_Lab at @Columbia University | Organizing @WorldModelsICML",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "keyonvafa.com",
"expanded_url": "http://www.keyonvafa.com",
"url": "https://t.co/PqGP9OgULQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1704,
"followers_count": 4448,
"friends_count": 802,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 73,
"location": "",
"media_count": 174,
"name": "Keyon Vafa",
"normal_followers_count": 4448,
"pinned_tweet_ids_str": [
"1943730486280331460"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866734990891069440/vW9n3_lI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "keyonV",
"statuses_count": 1363,
"translator_type": "none",
"url": "https://t.co/PqGP9OgULQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1944889762164126018"
],
"editable_until_msecs": "1752536428000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "512",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jul 14 22:40:28 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
12,
182
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "2944501279",
"name": "Etash Guha",
"screen_name": "etash_guha",
"indices": [
0,
11
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@etash_guha It’s a good question. Besides architecture I think next-token pretraining objectives play a big role. You can get very good next-token performance with poor world models.",
"in_reply_to_screen_name": "etash_guha",
"in_reply_to_status_id_str": "1944442356855705916",
"in_reply_to_user_id_str": "2944501279",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "346719335",
"id_str": "1944889762164126018"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1944889762164126018"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943778642703638725",
"sortIndex": "1953477635254255546",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1943778642703638725-tweet-1943778642703638725",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943778642703638725",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo0NzEyNjU0NA==",
"rest_id": "47126544",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sun Jun 14 16:56:23 +0000 2009",
"default_profile": true,
"default_profile_image": false,
"description": "My new LM book: https://t.co/YXNQUy7O3t\n\nPhD in AI, author of 📖 The Hundred-Page Language Models Book and 📖 The Hundred-Page Machine Learning Book",
"entities": {
"description": {
"urls": [
{
"display_url": "thelmbook.com",
"expanded_url": "http://thelmbook.com",
"url": "https://t.co/YXNQUy7O3t",
"indices": [
16,
39
]
}
]
},
"url": {
"urls": [
{
"display_url": "linktr.ee/burkov",
"expanded_url": "https://linktr.ee/burkov",
"url": "https://t.co/1Bj1wAzTLL",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 9305,
"followers_count": 46599,
"friends_count": 110,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 770,
"location": "Québec, Canada",
"media_count": 3349,
"name": "BURKOV",
"normal_followers_count": 46599,
"pinned_tweet_ids_str": [
"1910460792526282841"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/47126544/1737224788",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1906075596808998913/6xpSGRnv_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "burkov",
"statuses_count": 18247,
"translator_type": "none",
"url": "https://t.co/1Bj1wAzTLL",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1866520296657670202",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943778642703638725"
],
"editable_until_msecs": "1752271516000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "6096",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 5,
"bookmarked": false,
"created_at": "Fri Jul 11 21:05:16 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
8,
239
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "346719335",
"name": "Keyon Vafa",
"screen_name": "keyonV",
"indices": [
0,
7
]
}
]
},
"favorite_count": 50,
"favorited": false,
"full_text": "@keyonV > Can an AI model predict perfectly and still have a terrible world model?\n\nOf course, for a given isolated problem. This is called supervised learning and you can get as perfect as you want to be by providing training examples.",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730486280331460",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 4,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "47126544",
"id_str": "1943778642703638725"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1943778642703638725"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943893782359159008",
"sortIndex": "1953477635254255536",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1943893782359159008-tweet-1943893782359159008",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943893782359159008",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoyMjY1NzY3MDY=",
"rest_id": "226576706",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Tue Dec 14 14:40:19 +0000 2010",
"default_profile": false,
"default_profile_image": false,
"description": "I think, I write, here I tweet |\nEssays: https://t.co/eOs3THXoCp |\nBook: https://t.co/frWeoc7IVB |\nDataframe lib https://t.co/NszEMNRxhC",
"entities": {
"description": {
"urls": [
{
"display_url": "strangeloopcanon.com",
"expanded_url": "http://www.strangeloopcanon.com",
"url": "https://t.co/eOs3THXoCp",
"indices": [
41,
64
]
},
{
"display_url": "amazon.com/dp/B0CJ9F327M",
"expanded_url": "http://amazon.com/dp/B0CJ9F327M",
"url": "https://t.co/frWeoc7IVB",
"indices": [
73,
96
]
},
{
"display_url": "github.com/bodo-ai/Bodo",
"expanded_url": "https://github.com/bodo-ai/Bodo",
"url": "https://t.co/NszEMNRxhC",
"indices": [
113,
136
]
}
]
},
"url": {
"urls": [
{
"display_url": "strangeloopcanon.com",
"expanded_url": "http://www.strangeloopcanon.com",
"url": "https://t.co/eOs3THXoCp",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 109999,
"followers_count": 27329,
"friends_count": 1869,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 465,
"location": "Bay Area",
"media_count": 4536,
"name": "rohit",
"normal_followers_count": 27329,
"pinned_tweet_ids_str": [
"1718930996119097366"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/226576706/1734130674",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1752863538627149824/LOJXhBvu_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "krishnanrohit",
"statuses_count": 65454,
"translator_type": "none",
"url": "https://t.co/eOs3THXoCp",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {
"is_enabled": true
},
"super_follow_eligible": true
}
}
},
"card": {
"rest_id": "https://t.co/QGz3WC11iP",
"legacy": {
"binding_values": [
{
"key": "photo_image_full_size_large",
"value": {
"image_value": {
"height": 419,
"width": 800,
"url": "https://pbs.twimg.com/card_img/1951206519560638466/UryNbjfT?format=jpg&name=800x419"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image",
"value": {
"image_value": {
"height": 200,
"width": 400,
"url": "https://pbs.twimg.com/card_img/1951206519560638466/UryNbjfT?format=jpg&name=400x400"
},
"type": "IMAGE"
}
},
{
"key": "description",
"value": {
"string_value": "On goal drift and lower reliability. Or, why can't LLMs play Conway's Game Of Life?",
"type": "STRING"
}
},
{
"key": "domain",
"value": {
"string_value": "www.strangeloopcanon.com",
"type": "STRING"
}
},
{
"key": "thumbnail_image_large",
"value": {
"image_value": {
"height": 300,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1951206519560638466/UryNbjfT?format=jpg&name=600x600"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image_small",
"value": {
"image_value": {
"height": 202,
"width": 386,
"url": "https://pbs.twimg.com/card_img/1951206519560638466/UryNbjfT?format=jpg&name=386x202"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_original",
"value": {
"image_value": {
"height": 800,
"width": 1600,
"url": "https://pbs.twimg.com/card_img/1951206519560638466/UryNbjfT?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_small",
"value": {
"image_value": {
"height": 202,
"width": 386,
"url": "https://pbs.twimg.com/card_img/1951206519560638466/UryNbjfT?format=jpg&name=386x202"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image_large",
"value": {
"image_value": {
"height": 419,
"width": 800,
"url": "https://pbs.twimg.com/card_img/1951206519560638466/UryNbjfT?format=jpg&name=800x419"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_small",
"value": {
"image_value": {
"height": 72,
"width": 144,
"url": "https://pbs.twimg.com/card_img/1951206519560638466/UryNbjfT?format=jpg&name=144x144"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_x_large",
"value": {
"image_value": {
"height": 800,
"width": 1600,
"url": "https://pbs.twimg.com/card_img/1951206519560638466/UryNbjfT?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_original",
"value": {
"image_value": {
"height": 800,
"width": 1600,
"url": "https://pbs.twimg.com/card_img/1951206519560638466/UryNbjfT?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "vanity_url",
"value": {
"scribe_key": "vanity_url",
"string_value": "strangeloopcanon.com",
"type": "STRING"
}
},
{
"key": "photo_image_full_size",
"value": {
"image_value": {
"height": 314,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1951206519560638466/UryNbjfT?format=jpg&name=600x314"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 203,
"green": 203,
"red": 203
},
"percentage": 65.33
},
{
"rgb": {
"blue": 0,
"green": 0,
"red": 0
},
"percentage": 31.84
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "title",
"value": {
"string_value": "What can LLMs never do?",
"type": "STRING"
}
},
{
"key": "summary_photo_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 203,
"green": 203,
"red": 203
},
"percentage": 65.33
},
{
"rgb": {
"blue": 0,
"green": 0,
"red": 0
},
"percentage": 31.84
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "summary_photo_image_x_large",
"value": {
"image_value": {
"height": 800,
"width": 1600,
"url": "https://pbs.twimg.com/card_img/1951206519560638466/UryNbjfT?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image",
"value": {
"image_value": {
"height": 314,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1951206519560638466/UryNbjfT?format=jpg&name=600x314"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 203,
"green": 203,
"red": 203
},
"percentage": 65.33
},
{
"rgb": {
"blue": 0,
"green": 0,
"red": 0
},
"percentage": 31.84
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "photo_image_full_size_x_large",
"value": {
"image_value": {
"height": 800,
"width": 1600,
"url": "https://pbs.twimg.com/card_img/1951206519560638466/UryNbjfT?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "card_url",
"value": {
"scribe_key": "card_url",
"string_value": "https://t.co/QGz3WC11iP",
"type": "STRING"
}
},
{
"key": "summary_photo_image_original",
"value": {
"image_value": {
"height": 800,
"width": 1600,
"url": "https://pbs.twimg.com/card_img/1951206519560638466/UryNbjfT?format=jpg&name=orig"
},
"type": "IMAGE"
}
}
],
"card_platform": {
"platform": {
"audience": {
"name": "production"
},
"device": {
"name": "Android",
"version": "12"
}
}
},
"name": "summary_large_image",
"url": "https://t.co/QGz3WC11iP",
"user_refs_results": []
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943893782359159008"
],
"editable_until_msecs": "1752298968000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1423",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>",
"legacy": {
"bookmark_count": 17,
"bookmarked": false,
"created_at": "Sat Jul 12 04:42:48 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
8,
161
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "strangeloopcanon.com/p/what-can-llm…",
"expanded_url": "https://www.strangeloopcanon.com/p/what-can-llms-never-do",
"url": "https://t.co/QGz3WC11iP",
"indices": [
138,
161
]
}
],
"user_mentions": [
{
"id_str": "346719335",
"name": "Keyon Vafa",
"screen_name": "keyonV",
"indices": [
0,
7
]
}
]
},
"favorite_count": 29,
"favorited": false,
"full_text": "@keyonV This is really cool! \n\nI tested this with cellular automata (teach prediction vs learning the rules) and saw the same principle - https://t.co/QGz3WC11iP",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730486280331460",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "226576706",
"id_str": "1943893782359159008"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1943893782359159008"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1944013112249639025",
"sortIndex": "1953477635254255526",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1944013112249639025-tweet-1944013112249639025",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1944013112249639025",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDE1NzIyNTQyNDIyMTgzOTM3",
"rest_id": "1415722542422183937",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Thu Jul 15 17:18:59 +0000 2021",
"default_profile": true,
"default_profile_image": false,
"description": "Working on particle physics, quantum sensors, dark matter. Associate Prof at @IPPP_Durham @durham_uni, FLF @UKRI_News, Science board member @STFC_Matters",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 28103,
"followers_count": 90453,
"friends_count": 1406,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 567,
"location": "Durham",
"media_count": 1420,
"name": "Martin Bauer",
"normal_followers_count": 90453,
"pinned_tweet_ids_str": [
"1741089316397346858"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1415722542422183937/1636733534",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1459230413868703751/nZsnpMRr_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "martinmbauer",
"statuses_count": 10152,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1944013112249639025"
],
"editable_until_msecs": "1752327418000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1960",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sat Jul 12 12:36:58 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
8,
21
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "346719335",
"name": "Keyon Vafa",
"screen_name": "keyonV",
"indices": [
0,
7
]
}
]
},
"favorite_count": 13,
"favorited": false,
"full_text": "@keyonV Great thread!",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730486280331460",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1415722542422183937",
"id_str": "1944013112249639025"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1944013112249639025"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943771209881297154",
"sortIndex": "1953477635254255516",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1943771209881297154-tweet-1943771209881297154",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943771209881297154",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo5NjkxODExNjk0MDgzODUwMjU=",
"rest_id": "969181169408385025",
"affiliates_highlighted_label": {
"label": {
"url": {
"url": "https://twitter.com/hud_evals",
"urlType": "DeepLink"
},
"badge": {
"url": "https://pbs.twimg.com/profile_images/1925301002561019904/OJMVp8FA_bigger.jpg"
},
"description": "hud",
"userLabelType": "BusinessLabel",
"userLabelDisplayType": "Badge"
}
},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Thu Mar 01 12:02:52 +0000 2018",
"default_profile": true,
"default_profile_image": false,
"description": "making agentic evals @hud_evals , robotics + ai alignment, owner of @AIHubCentral (1 million users, acq.), climate protester, prev @hume_ai.",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "linktr.ee/menhguin",
"expanded_url": "https://linktr.ee/menhguin",
"url": "https://t.co/q4dXDo46Ke",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 71087,
"followers_count": 10176,
"friends_count": 6079,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 116,
"location": "San Junipero",
"media_count": 3141,
"name": "Minh Nhat Nguyen",
"normal_followers_count": 10176,
"pinned_tweet_ids_str": [
"1943204151900475567"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/969181169408385025/1704571207",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1866211066684002304/OWIq_Pad_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "menhguin",
"statuses_count": 22919,
"translator_type": "none",
"url": "https://t.co/q4dXDo46Ke",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943771209881297154"
],
"editable_until_msecs": "1752269744000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "4090",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>",
"legacy": {
"bookmark_count": 1,
"bookmarked": false,
"created_at": "Fri Jul 11 20:35:44 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
8,
29
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "346719335",
"name": "Keyon Vafa",
"screen_name": "keyonV",
"indices": [
0,
7
]
},
{
"id_str": "2758050649",
"name": "Asuka🎀Redpanda",
"screen_name": "VoidAsuka",
"indices": [
8,
18
]
},
{
"id_str": "895363940162707456",
"name": "Jonathan Jacobi",
"screen_name": "j0nathanj",
"indices": [
19,
29
]
}
]
},
"favorite_count": 3,
"favorited": false,
"full_text": "@keyonV @VoidAsuka @j0nathanj",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730486280331460",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "qam",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "969181169408385025",
"id_str": "1943771209881297154"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1943771209881297154"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1944058748735029473",
"sortIndex": "1953477635254255506",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1944058748735029473-tweet-1944058748735029473",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1944058748735029473",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMTI0NjU3NDM=",
"rest_id": "112465743",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Mon Feb 08 16:07:09 +0000 2010",
"default_profile": true,
"default_profile_image": false,
"description": "Founded $300m AUM Deeptech VC, neural networks since 99, Philosophy, CS, Evo Biology, 2x pubs in Nature Journals, 750+ citations, UCalgary BA/BSc/MSc, Yale PhD",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "linkedin.com/in/robleclerc",
"expanded_url": "http://www.linkedin.com/in/robleclerc",
"url": "https://t.co/v9tyrvxpog",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 10837,
"followers_count": 5659,
"friends_count": 1032,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 173,
"location": "San Francisco, CA",
"media_count": 482,
"name": "Rob Leclerc",
"normal_followers_count": 5659,
"pinned_tweet_ids_str": [
"1811120281710424484"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/112465743/1468966842",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1883002376610828288/p1Hm1AKY_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "robleclerc",
"statuses_count": 8010,
"translator_type": "none",
"url": "https://t.co/v9tyrvxpog",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1474277198840221698",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1944058748735029473"
],
"editable_until_msecs": "1752338299000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "609",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sat Jul 12 15:38:19 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
8,
180
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "346719335",
"name": "Keyon Vafa",
"screen_name": "keyonV",
"indices": [
0,
7
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@keyonV birds have biological knowledge of physics, but no capacity to generate a good explanation. maybe today’s llms are the equivalent of highly evolved biological intelligence.",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730486280331460",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "112465743",
"id_str": "1944058748735029473"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1944058748735029473"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943947427293065365",
"sortIndex": "1953477635254255496",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1943947427293065365-tweet-1943947427293065365",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943947427293065365",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNTU3Mzk4NjM4OTE3NDcyMjU3",
"rest_id": "1557398638917472257",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Wed Aug 10 16:09:27 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "ai research engineer @rumik_ai & building @corp_xander",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "atulit.xanderco.in",
"expanded_url": "https://atulit.xanderco.in/",
"url": "https://t.co/PgGaZA5kOh",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 174463,
"followers_count": 5864,
"friends_count": 998,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 71,
"location": "Heaven's Gate",
"media_count": 2299,
"name": "atulit",
"normal_followers_count": 5864,
"pinned_tweet_ids_str": [
"1951661661330288884"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1557398638917472257/1731310328",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1855876500492312576/OB2uLv5M_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "atulit_gaur",
"statuses_count": 41838,
"translator_type": "none",
"url": "https://t.co/PgGaZA5kOh",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {
"is_enabled": true,
"bitcoin_handle": "bc1qmmxualecz237gn2hxtx3jn5gnhm84rfxmnzuz4"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943947427293065365"
],
"editable_until_msecs": "1752311758000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "495",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sat Jul 12 08:15:58 +0000 2025",
"conversation_id_str": "1943730486280331460",
"display_text_range": [
8,
123
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "346719335",
"name": "Keyon Vafa",
"screen_name": "keyonV",
"indices": [
0,
7
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@keyonV Fuck, this is so amazing, and so interesting. Great work!!!\n\nAlso hating on myself why I never thought to do this 😭",
"in_reply_to_screen_name": "keyonV",
"in_reply_to_status_id_str": "1943730486280331460",
"in_reply_to_user_id_str": "346719335",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1557398638917472257",
"id_str": "1943947427293065365"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1943947427293065365"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "cursor-bottom-1953477635254255495",
"sortIndex": "1953477635254255495",
"content": {
"entryType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAAFCgABGxwljy3__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",
"cursorType": "Bottom"
}
}
]
},
{
"type": "TimelineTerminateTimeline",
"direction": "Top"
}
],
"metadata": {
"reader_mode_config": {
"is_reader_mode_available": true
},
"scribeConfig": {
"page": "ranked_replies"
}
}
}
}
}