Viewing enriched Twitter post
You know all those arguments that LLMs think like humans? Turns out it's not true. š§ In our paper "From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning" we test it by checking if LLMs form concepts the same way humans do @ylecun @ChenShani2 @jurafsky https://t.co/ctVszZXoDW
{
"media": [
{
"type": "image",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1928118792803987636/media_0.jpg?",
"filename": "media_0.jpg"
}
],
"nlp": {
"sentiment": "negative",
"topics": [
"LLMs",
"human thinking",
"research paper"
],
"entities": [
"Yann LeCun",
"Chen Shani",
"Dan Jurafsky"
],
"summary": "The tweet discusses a paper that challenges the notion that LLMs think like humans.",
"language": "en",
"processed_at": "2025-08-07T11:29:06.306383"
}
}{
"data": {
"threaded_conversation_with_injections_v2": {
"instructions": [
{
"type": "TimelineClearCache"
},
{
"type": "TimelineAddEntries",
"entries": [
{
"entryId": "tweet-1928118792803987636",
"sortIndex": "1953508698890436608",
"content": {
"entryType": "TimelineTimelineItem",
"__typename": "TimelineTimelineItem",
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928118792803987636",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928118792803987636"
],
"editable_until_msecs": "1748537917000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "231762",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 1909,
"bookmarked": false,
"created_at": "Thu May 29 15:58:37 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
0,
276
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/ctVszZXoDW",
"expanded_url": "https://x.com/ziv_ravid/status/1928118792803987636/photo/1",
"id_str": "1928118639435128832",
"indices": [
277,
300
],
"media_key": "3_1928118639435128832",
"media_url_https": "https://pbs.twimg.com/media/GsINr9xXIAAN5P0.jpg",
"type": "photo",
"url": "https://t.co/ctVszZXoDW",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1024,
"w": 1536,
"resize": "fit"
},
"medium": {
"h": 800,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 453,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1024,
"width": 1536,
"focus_rects": [
{
"x": 0,
"y": 164,
"w": 1536,
"h": 860
},
{
"x": 217,
"y": 0,
"w": 1024,
"h": 1024
},
{
"x": 280,
"y": 0,
"w": 898,
"h": 1024
},
{
"x": 473,
"y": 0,
"w": 512,
"h": 1024
},
{
"x": 0,
"y": 0,
"w": 1536,
"h": 1024
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1928118639435128832"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
246,
253
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
254,
265
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
267,
276
]
}
]
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/ctVszZXoDW",
"expanded_url": "https://x.com/ziv_ravid/status/1928118792803987636/photo/1",
"id_str": "1928118639435128832",
"indices": [
277,
300
],
"media_key": "3_1928118639435128832",
"media_url_https": "https://pbs.twimg.com/media/GsINr9xXIAAN5P0.jpg",
"type": "photo",
"url": "https://t.co/ctVszZXoDW",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1024,
"w": 1536,
"resize": "fit"
},
"medium": {
"h": 800,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 453,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1024,
"width": 1536,
"focus_rects": [
{
"x": 0,
"y": 164,
"w": 1536,
"h": 860
},
{
"x": 217,
"y": 0,
"w": 1024,
"h": 1024
},
{
"x": 280,
"y": 0,
"w": 898,
"h": 1024
},
{
"x": 473,
"y": 0,
"w": 512,
"h": 1024
},
{
"x": 0,
"y": 0,
"w": 1536,
"h": 1024
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1928118639435128832"
}
}
}
]
},
"favorite_count": 1882,
"favorited": false,
"full_text": "You know all those arguments that LLMs think like humans? Turns out it's not true.\n\nš§ In our paper \"From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning\" we test it by checking if LLMs form concepts the same way humans do @ylecun @ChenShani2 @jurafsky https://t.co/ctVszZXoDW",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 69,
"reply_count": 85,
"retweet_count": 322,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928118792803987636"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet"
}
}
},
{
"entryId": "conversationthread-1928118794586640654",
"sortIndex": "1953508698890436598",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1928118794586640654-tweet-1928118794586640654",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928118794586640654",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928118794586640654"
],
"editable_until_msecs": "1748537918000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "8557",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 10,
"bookmarked": false,
"created_at": "Thu May 29 15:58:38 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
0,
256
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 81,
"favorited": false,
"full_text": "So, do LLMs truly grasp concepts and meaning analogously to humans, or is their success primarily rooted in sophisticated statistical pattern matching over vast datasets? We used classic cognitive experiments as benchmarks. What we found is surprising... š§",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118792803987636",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"quote_count": 2,
"reply_count": 3,
"retweet_count": 3,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928118794586640654"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928118794586640654-tweet-1928118795912024549",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928118795912024549",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928118795912024549"
],
"editable_until_msecs": "1748537918000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "8006",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 5,
"bookmarked": false,
"created_at": "Thu May 29 15:58:38 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
0,
268
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 73,
"favorited": false,
"full_text": "We used seminal datasets from cognitive psychology that mapped how humans actually categorize things like \"birds\" or \"furniture\" ('robin' as a typical bird). The nice thing about these datasets is that they are not crowdsourced - they're rigorous scientific benchmarks",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118794586640654",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 2,
"retweet_count": 2,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928118795912024549"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928118794586640654-tweet-1928118797690405296",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928118797690405296",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928118797690405296"
],
"editable_until_msecs": "1748537918000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "7886",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": false,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MjgxMTg3OTc2MTkxMzAzNjg=",
"text": "We tested 30+ LLMs (BERT, Llama, Gemma, Qwen, etc.) using an information-theoretic framework that measures the trade-off between:\n- Compression (how efficiently you organize info)\n- Meaning preservation (how much semantic detail you keep)",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": [
{
"from_index": 130,
"to_index": 143,
"richtext_types": [
"Bold"
]
},
{
"from_index": 182,
"to_index": 202,
"richtext_types": [
"Bold"
]
}
]
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 7,
"bookmarked": false,
"created_at": "Thu May 29 15:58:38 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
0,
238
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/mjZPAZLFp7",
"expanded_url": "https://x.com/ziv_ravid/status/1928118797690405296/photo/1",
"id_str": "1928116927597051904",
"indices": [
239,
262
],
"media_key": "3_1928116927597051904",
"media_url_https": "https://pbs.twimg.com/media/GsIMIUrXAAAl5Ir.jpg",
"type": "photo",
"url": "https://t.co/mjZPAZLFp7",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 651,
"y": 219,
"h": 250,
"w": 250
}
]
},
"medium": {
"faces": [
{
"x": 508,
"y": 171,
"h": 195,
"w": 195
}
]
},
"small": {
"faces": [
{
"x": 288,
"y": 96,
"h": 110,
"w": 110
}
]
},
"orig": {
"faces": [
{
"x": 651,
"y": 219,
"h": 250,
"w": 250
}
]
}
},
"sizes": {
"large": {
"h": 1024,
"w": 1536,
"resize": "fit"
},
"medium": {
"h": 800,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 453,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1024,
"width": 1536,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1536,
"h": 860
},
{
"x": 0,
"y": 0,
"w": 1024,
"h": 1024
},
{
"x": 0,
"y": 0,
"w": 898,
"h": 1024
},
{
"x": 89,
"y": 0,
"w": 512,
"h": 1024
},
{
"x": 0,
"y": 0,
"w": 1536,
"h": 1024
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1928116927597051904"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/mjZPAZLFp7",
"expanded_url": "https://x.com/ziv_ravid/status/1928118797690405296/photo/1",
"id_str": "1928116927597051904",
"indices": [
239,
262
],
"media_key": "3_1928116927597051904",
"media_url_https": "https://pbs.twimg.com/media/GsIMIUrXAAAl5Ir.jpg",
"type": "photo",
"url": "https://t.co/mjZPAZLFp7",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 651,
"y": 219,
"h": 250,
"w": 250
}
]
},
"medium": {
"faces": [
{
"x": 508,
"y": 171,
"h": 195,
"w": 195
}
]
},
"small": {
"faces": [
{
"x": 288,
"y": 96,
"h": 110,
"w": 110
}
]
},
"orig": {
"faces": [
{
"x": 651,
"y": 219,
"h": 250,
"w": 250
}
]
}
},
"sizes": {
"large": {
"h": 1024,
"w": 1536,
"resize": "fit"
},
"medium": {
"h": 800,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 453,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1024,
"width": 1536,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1536,
"h": 860
},
{
"x": 0,
"y": 0,
"w": 1024,
"h": 1024
},
{
"x": 0,
"y": 0,
"w": 898,
"h": 1024
},
{
"x": 89,
"y": 0,
"w": 512,
"h": 1024
},
{
"x": 0,
"y": 0,
"w": 1536,
"h": 1024
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1928116927597051904"
}
}
}
]
},
"favorite_count": 70,
"favorited": false,
"full_text": "We tested 30+ LLMs (BERT, Llama, Gemma, Qwen, etc.) using an information-theoretic framework that measures the trade-off between:\n- Compression (how efficiently you organize info)\n- Meaning preservation (how much semantic detail you keep) https://t.co/mjZPAZLFp7",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118795912024549",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 3,
"retweet_count": 2,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928118797690405296"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928118794586640654-tweet-1928118800139841760",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928118800139841760",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928118800139841760"
],
"editable_until_msecs": "1748537919000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "7773",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": false,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MjgxMTg4MDAwMzUwNzQwNDg=",
"text": "Finding #1: The Good News LLMs DO form broad conceptual categories that align with humans significantly above chance.\nSurprisingly (or not?), smaller encoder models like BERT outperformed much larger models (Scale isn't everything!)",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": [
{
"from_index": 0,
"to_index": 11,
"richtext_types": [
"Bold"
]
}
]
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 18,
"bookmarked": false,
"created_at": "Thu May 29 15:58:39 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
0,
232
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/mcKPHbwPd5",
"expanded_url": "https://x.com/ziv_ravid/status/1928118800139841760/photo/1",
"id_str": "1928115177037221888",
"indices": [
233,
256
],
"media_key": "3_1928115177037221888",
"media_url_https": "https://pbs.twimg.com/media/GsIKibVX0AAscT2.jpg",
"type": "photo",
"url": "https://t.co/mcKPHbwPd5",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 622,
"w": 1304,
"resize": "fit"
},
"medium": {
"h": 572,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 324,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 622,
"width": 1304,
"focus_rects": [
{
"x": 193,
"y": 0,
"w": 1111,
"h": 622
},
{
"x": 682,
"y": 0,
"w": 622,
"h": 622
},
{
"x": 758,
"y": 0,
"w": 546,
"h": 622
},
{
"x": 983,
"y": 0,
"w": 311,
"h": 622
},
{
"x": 0,
"y": 0,
"w": 1304,
"h": 622
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1928115177037221888"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/mcKPHbwPd5",
"expanded_url": "https://x.com/ziv_ravid/status/1928118800139841760/photo/1",
"id_str": "1928115177037221888",
"indices": [
233,
256
],
"media_key": "3_1928115177037221888",
"media_url_https": "https://pbs.twimg.com/media/GsIKibVX0AAscT2.jpg",
"type": "photo",
"url": "https://t.co/mcKPHbwPd5",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 622,
"w": 1304,
"resize": "fit"
},
"medium": {
"h": 572,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 324,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 622,
"width": 1304,
"focus_rects": [
{
"x": 193,
"y": 0,
"w": 1111,
"h": 622
},
{
"x": 682,
"y": 0,
"w": 622,
"h": 622
},
{
"x": 758,
"y": 0,
"w": 546,
"h": 622
},
{
"x": 983,
"y": 0,
"w": 311,
"h": 622
},
{
"x": 0,
"y": 0,
"w": 1304,
"h": 622
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1928115177037221888"
}
}
}
]
},
"favorite_count": 103,
"favorited": false,
"full_text": "Finding #1: The Good News LLMs DO form broad conceptual categories that align with humans significantly above chance.\nSurprisingly (or not?), smaller encoder models like BERT outperformed much larger models (Scale isn't everything!) https://t.co/mcKPHbwPd5",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118797690405296",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 3,
"reply_count": 2,
"retweet_count": 4,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928118800139841760"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928118794586640654-tweet-1928118801981112354",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928118801981112354",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928118801981112354"
],
"editable_until_msecs": "1748537919000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "11360",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": false,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MjgxMTg4MDE4ODQ3MDQ3Njg=",
"text": "Finding #2: The Problem But LLMs struggle with fine-grained semantic distinctions. They can't capture \"typicality\" - like knowing a robin is a more typical bird than a penguin.\nTheir internal concept structure doesn't match human intuitions about category membership.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": [
{
"from_index": 0,
"to_index": 23,
"richtext_types": [
"Bold"
]
}
]
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 15,
"bookmarked": false,
"created_at": "Thu May 29 15:58:39 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
0,
267
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 111,
"favorited": false,
"full_text": "Finding #2: The Problem But LLMs struggle with fine-grained semantic distinctions. They can't capture \"typicality\" - like knowing a robin is a more typical bird than a penguin.\nTheir internal concept structure doesn't match human intuitions about category membership.",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118800139841760",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"quote_count": 3,
"reply_count": 7,
"retweet_count": 15,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928118801981112354"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928118794586640654-tweet-1928118804208316714",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928118804208316714",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928118804208316714"
],
"editable_until_msecs": "1748537920000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "9031",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": false,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MjgxMTg4MDQxMzI4MzEyMzI=",
"text": "Finding #3: The Big Difference Here's the kicker: LLMs and humans optimize for completely different things.\nLLMs optimize for aggressive statistical compression (minimize redundancy), while humans for adaptive richness (preserve flexibility and context)",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": [
{
"from_index": 0,
"to_index": 12,
"richtext_types": [
"Bold"
]
},
{
"from_index": 108,
"to_index": 112,
"richtext_types": [
"Bold"
]
},
{
"from_index": 190,
"to_index": 197,
"richtext_types": [
"Bold"
]
}
]
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 31,
"bookmarked": false,
"created_at": "Thu May 29 15:58:40 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
0,
253
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/k26v699Ukn",
"expanded_url": "https://x.com/ziv_ravid/status/1928118804208316714/photo/1",
"id_str": "1928115290572742656",
"indices": [
254,
277
],
"media_key": "3_1928115290572742656",
"media_url_https": "https://pbs.twimg.com/media/GsIKpCSWYAANT8s.png",
"type": "photo",
"url": "https://t.co/k26v699Ukn",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 116,
"y": 112,
"h": 39,
"w": 39
},
{
"x": 755,
"y": 112,
"h": 39,
"w": 39
}
]
},
"medium": {
"faces": [
{
"x": 116,
"y": 112,
"h": 39,
"w": 39
},
{
"x": 755,
"y": 112,
"h": 39,
"w": 39
}
]
},
"small": {
"faces": [
{
"x": 94,
"y": 91,
"h": 31,
"w": 31
},
{
"x": 617,
"y": 91,
"h": 31,
"w": 31
}
]
},
"orig": {
"faces": [
{
"x": 116,
"y": 112,
"h": 39,
"w": 39
},
{
"x": 755,
"y": 112,
"h": 39,
"w": 39
}
]
}
},
"sizes": {
"large": {
"h": 696,
"w": 832,
"resize": "fit"
},
"medium": {
"h": 696,
"w": 832,
"resize": "fit"
},
"small": {
"h": 569,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 696,
"width": 832,
"focus_rects": [
{
"x": 0,
"y": 230,
"w": 832,
"h": 466
},
{
"x": 136,
"y": 0,
"w": 696,
"h": 696
},
{
"x": 221,
"y": 0,
"w": 611,
"h": 696
},
{
"x": 484,
"y": 0,
"w": 348,
"h": 696
},
{
"x": 0,
"y": 0,
"w": 832,
"h": 696
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1928115290572742656"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/k26v699Ukn",
"expanded_url": "https://x.com/ziv_ravid/status/1928118804208316714/photo/1",
"id_str": "1928115290572742656",
"indices": [
254,
277
],
"media_key": "3_1928115290572742656",
"media_url_https": "https://pbs.twimg.com/media/GsIKpCSWYAANT8s.png",
"type": "photo",
"url": "https://t.co/k26v699Ukn",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 116,
"y": 112,
"h": 39,
"w": 39
},
{
"x": 755,
"y": 112,
"h": 39,
"w": 39
}
]
},
"medium": {
"faces": [
{
"x": 116,
"y": 112,
"h": 39,
"w": 39
},
{
"x": 755,
"y": 112,
"h": 39,
"w": 39
}
]
},
"small": {
"faces": [
{
"x": 94,
"y": 91,
"h": 31,
"w": 31
},
{
"x": 617,
"y": 91,
"h": 31,
"w": 31
}
]
},
"orig": {
"faces": [
{
"x": 116,
"y": 112,
"h": 39,
"w": 39
},
{
"x": 755,
"y": 112,
"h": 39,
"w": 39
}
]
}
},
"sizes": {
"large": {
"h": 696,
"w": 832,
"resize": "fit"
},
"medium": {
"h": 696,
"w": 832,
"resize": "fit"
},
"small": {
"h": 569,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 696,
"width": 832,
"focus_rects": [
{
"x": 0,
"y": 230,
"w": 832,
"h": 466
},
{
"x": 136,
"y": 0,
"w": 696,
"h": 696
},
{
"x": 221,
"y": 0,
"w": 611,
"h": 696
},
{
"x": 484,
"y": 0,
"w": 348,
"h": 696
},
{
"x": 0,
"y": 0,
"w": 832,
"h": 696
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1928115290572742656"
}
}
}
]
},
"favorite_count": 146,
"favorited": false,
"full_text": "Finding #3: The Big Difference Here's the kicker: LLMs and humans optimize for completely different things.\nLLMs optimize for aggressive statistical compression (minimize redundancy), while humans for adaptive richness (preserve flexibility and context) https://t.co/k26v699Ukn",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118801981112354",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 5,
"reply_count": 8,
"retweet_count": 14,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928118804208316714"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928118794586640654-tweet-1928118805869342737",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928118805869342737",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928118805869342737"
],
"editable_until_msecs": "1748537920000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "7072",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 19,
"bookmarked": false,
"created_at": "Thu May 29 15:58:40 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
0,
218
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 146,
"favorited": false,
"full_text": "This explains why LLMs can be simultaneously impressive AND miss obvious human-like reasoning. They're not broken - they're just optimized for pattern matching rather than the rich, contextual understanding humans use.",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118804208316714",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"quote_count": 2,
"reply_count": 5,
"retweet_count": 11,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928118805869342737"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928118794586640654-tweet-1928118807526019355",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928118807526019355",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928118807526019355"
],
"editable_until_msecs": "1748537921000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "6643",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 14,
"bookmarked": false,
"created_at": "Thu May 29 15:58:41 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
0,
217
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 155,
"favorited": false,
"full_text": "What this means:\n- Current scaling might not lead to human-like understanding\n- We need better ways to balance compression with semantic richness\n- The path to AGI (š¤£) might require rethinking optimization objectives",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118805869342737",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"quote_count": 2,
"reply_count": 5,
"retweet_count": 13,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928118807526019355"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928118794586640654-tweet-1928118808759132646",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928118808759132646",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928118808759132646"
],
"editable_until_msecs": "1748537921000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "6629",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 1,
"bookmarked": false,
"created_at": "Thu May 29 15:58:41 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
0,
161
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 82,
"favorited": false,
"full_text": "Our paper gives tools to measure this compression-meaning trade-off. This could guide future AI development toward more human-aligned conceptual representations.",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118807526019355",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"quote_count": 1,
"reply_count": 1,
"retweet_count": 2,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928118808759132646"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928118794586640654-tweet-1928118810109673858",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928118810109673858",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928118810109673858"
],
"editable_until_msecs": "1748537921000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "6526",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 47,
"bookmarked": false,
"created_at": "Thu May 29 15:58:41 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
0,
185
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "arxiv.org/pdf/2505.17117",
"expanded_url": "https://arxiv.org/pdf/2505.17117",
"url": "https://t.co/RX2nFW35Bi",
"indices": [
162,
185
]
}
],
"user_mentions": [
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
10,
21
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
47,
54
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
60,
69
]
}
]
},
"favorite_count": 110,
"favorited": false,
"full_text": "Thanks to @ChenShani2 who did all the work and @ylecun and @jurafsky for their guidence\nCool to see cognitive psychology and AI research coming together!\nPaper: https://t.co/RX2nFW35Bi",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118808759132646",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 2,
"reply_count": 10,
"retweet_count": 4,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928118810109673858"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1928118797690405296"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928250289007534406",
"sortIndex": "1953508698890436588",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1928250289007534406-tweet-1928250289007534406",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928250289007534406",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNjQ1MTk3OTQxODM1OTg0ODk2",
"rest_id": "1645197941835984896",
"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 Apr 09 22:52:29 +0000 2023",
"default_profile": true,
"default_profile_image": false,
"description": "building the next AI architecture to replace current LLMs. author of 'Threshold Dialectics: Understanding Complex Systems and Enabling Active Robustness'.",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "thresholddialectics.com",
"expanded_url": "https://www.thresholddialectics.com",
"url": "https://t.co/dFHdRcQpHr",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 48773,
"followers_count": 946,
"friends_count": 255,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 12,
"location": "",
"media_count": 199,
"name": "Axel Pond",
"normal_followers_count": 946,
"pinned_tweet_ids_str": [
"1936477956769034327"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1645197941835984896/1711509452",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1772821732086165504/BOvQeM_E_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "axel_pond",
"statuses_count": 3160,
"translator_type": "none",
"url": "https://t.co/dFHdRcQpHr",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928250289007534406"
],
"editable_until_msecs": "1748569268000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "947",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri May 30 00:41:08 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
41,
318
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1287669805592576000",
"name": "Ravid Shwartz Ziv",
"screen_name": "ziv_ravid",
"indices": [
0,
10
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
11,
18
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
19,
30
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
31,
40
]
}
]
},
"favorite_count": 13,
"favorited": false,
"full_text": "@ziv_ravid @ylecun @ChenShani2 @jurafsky hardly anyone claims LLMs think like humans. some claim LLMs have some understanding but works very differently from human brains. however the vast majority has been taking it for granted that LLMs have zero conceptual understanding and are mere parrots. this is falsified now.",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118792803987636",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1645197941835984896",
"id_str": "1928250289007534406"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928250289007534406-tweet-1928976000919982503",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928976000919982503",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928976000919982503"
],
"editable_until_msecs": "1748742291000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "369",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sun Jun 01 00:44:51 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
41,
54
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1645197941835984896",
"name": "Axel Pond",
"screen_name": "axel_pond",
"indices": [
0,
10
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
11,
18
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
19,
30
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
31,
40
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@axel_pond @ylecun @ChenShani2 @jurafsky Good to hear!",
"in_reply_to_screen_name": "axel_pond",
"in_reply_to_status_id_str": "1928250289007534406",
"in_reply_to_user_id_str": "1645197941835984896",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928976000919982503"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1928976000919982503"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928122992552263956",
"sortIndex": "1953508698890436578",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1928122992552263956-tweet-1928122992552263956",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928122992552263956",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDQ0NzY5NzMzNTc2OTYyMDUy",
"rest_id": "1444769733576962052",
"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 Oct 03 21:02:28 +0000 2021",
"default_profile": true,
"default_profile_image": false,
"description": "Dad, DataScience, MathAddict, GenAI, LLMs, DiffusionModels, GymLover\n\nRightWing Liberal, Anti-Socialism, Anti-Islamism, RussiaDelendaEst, SlavaUkraine, AntiWoke",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "aiwithmike.substack.com",
"expanded_url": "https://aiwithmike.substack.com/",
"url": "https://t.co/YPncEyUH7l",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 18647,
"followers_count": 5418,
"friends_count": 326,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 59,
"location": "Greenland",
"media_count": 2833,
"name": "Mike Erlihson, Math PhD, AI",
"normal_followers_count": 5418,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1444769733576962052/1740770364",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1778886293092499456/T3Z3xRJ-_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "MikeE_3_14",
"statuses_count": 14357,
"translator_type": "none",
"url": "https://t.co/YPncEyUH7l",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1698061003739578605",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": true
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928122992552263956"
],
"editable_until_msecs": "1748538918000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "3533",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Thu May 29 16:15:18 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
41,
133
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1287669805592576000",
"name": "Ravid Shwartz Ziv",
"screen_name": "ziv_ravid",
"indices": [
0,
10
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
11,
18
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
19,
30
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
31,
40
]
}
]
},
"favorite_count": 12,
"favorited": false,
"full_text": "@ziv_ravid @ylecun @ChenShani2 @jurafsky We're going to dive deep into it in your next episode. You're researching really cool stuffš",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118792803987636",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1444769733576962052",
"id_str": "1928122992552263956"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928122992552263956-tweet-1928123598989824161",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928123598989824161",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928123598989824161"
],
"editable_until_msecs": "1748539063000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "2790",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Thu May 29 16:17:43 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
42,
62
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1444769733576962052",
"name": "Mike Erlihson, Math PhD, AI",
"screen_name": "MikeE_3_14",
"indices": [
0,
11
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
12,
19
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
20,
31
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
32,
41
]
}
]
},
"favorite_count": 10,
"favorited": false,
"full_text": "@MikeE_3_14 @ylecun @ChenShani2 @jurafsky Thanks, Let's do it!",
"in_reply_to_screen_name": "MikeE_3_14",
"in_reply_to_status_id_str": "1928122992552263956",
"in_reply_to_user_id_str": "1444769733576962052",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928123598989824161"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1928123598989824161"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928450481220972772",
"sortIndex": "1953508698890436568",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1928450481220972772-tweet-1928450481220972772",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928450481220972772",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo0MjYzMDMyNQ==",
"rest_id": "42630325",
"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 May 26 14:06:29 +0000 2009",
"default_profile": false,
"default_profile_image": false,
"description": "Co-founder at @mVaraAI ā¦ Ex-Wells Fargo & US Air Force ā¦ Cognition Devin & Windsurf Maven",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "mVara.ai",
"expanded_url": "https://mVara.ai",
"url": "https://t.co/ZKVXzNIID8",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 8929,
"followers_count": 8614,
"friends_count": 979,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 245,
"location": "Irvine, California",
"media_count": 1325,
"name": "Jack C Crawford",
"normal_followers_count": 8614,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/42630325/1746055492",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1873246759583137800/fnrVQGPe_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "jackccrawford",
"statuses_count": 16843,
"translator_type": "none",
"url": "https://t.co/ZKVXzNIID8",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1640482671578034177",
"professional_type": "Business",
"category": [
{
"id": 998,
"name": "Technology Solutions Company",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928450481220972772"
],
"editable_until_msecs": "1748616998000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "694",
"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": "Tm90ZVR3ZWV0OjE5Mjg0NTA0ODExNDUzOTcyNDg=",
"text": "Great and insightful research. But the judgement of good vs bad is in the eyes of the writer.\n\nI am exploiting the differences to reach for a DIFFERENT intelligence. There are 8 billion of us on the planet with 80 million of us in the top 1% of IQ. \n\nWe have a role in shaping LLMs. They don't need to be the same as us to be good for us. That's on you and me.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
}
}
}
},
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri May 30 13:56:38 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
57,
334
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1287669805592576000",
"name": "Ravid Shwartz Ziv",
"screen_name": "ziv_ravid",
"indices": [
0,
10
]
},
{
"id_str": "68743742",
"name": "Peter Fallenius",
"screen_name": "PeterFallenius",
"indices": [
11,
26
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
27,
34
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
35,
46
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
47,
56
]
}
]
},
"favorite_count": 4,
"favorited": false,
"full_text": "@ziv_ravid @PeterFallenius @ylecun @ChenShani2 @jurafsky Great and insightful research. But the judgement of good vs bad is in the eyes of the writer.\n\nI am exploiting the differences to reach for a DIFFERENT intelligence. There are 8 billion of us on the planet with 80 million of us in the top 1% of IQ. \n\nWe have a role in shapingā¦",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118792803987636",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "42630325",
"id_str": "1928450481220972772"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928450481220972772-tweet-1928975806828577097",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928975806828577097",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928975806828577097"
],
"editable_until_msecs": "1748742245000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "427",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sun Jun 01 00:44:05 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
61,
164
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "42630325",
"name": "Jack C Crawford",
"screen_name": "jackccrawford",
"indices": [
0,
14
]
},
{
"id_str": "68743742",
"name": "Peter Fallenius",
"screen_name": "PeterFallenius",
"indices": [
15,
30
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
31,
38
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
39,
50
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
51,
60
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@jackccrawford @PeterFallenius @ylecun @ChenShani2 @jurafsky Thanks, I agree in some sense. They are different from us, and we don't need to compare them to humans.",
"in_reply_to_screen_name": "jackccrawford",
"in_reply_to_status_id_str": "1928450481220972772",
"in_reply_to_user_id_str": "42630325",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928975806828577097"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1928975806828577097"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928174580725674043",
"sortIndex": "1953508698890436558",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1928174580725674043-tweet-1928174580725674043",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928174580725674043",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNzAwMDU2NzQ2MjE4MTIzMjY0",
"rest_id": "1700056746218123264",
"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": "Fri Sep 08 08:02:19 +0000 2023",
"default_profile": true,
"default_profile_image": false,
"description": "@OpenAI | Physicist | Autonomous systems | ex-@PalantirTech; ex-@AppliedInt | @uniheidelberg | Personal Views Only",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 99,
"followers_count": 356,
"friends_count": 1144,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 1,
"location": "Munich",
"media_count": 27,
"name": "Benedict Kerres",
"normal_followers_count": 356,
"pinned_tweet_ids_str": [
"1946217922793210258"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1700056746218123264/1752955344",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1918283716557672448/81RxVmMU_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "benedictk__",
"statuses_count": 803,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928174580725674043"
],
"editable_until_msecs": "1748551218000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "561",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Thu May 29 19:40:18 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
41,
233
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1287669805592576000",
"name": "Ravid Shwartz Ziv",
"screen_name": "ziv_ravid",
"indices": [
0,
10
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
11,
18
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
19,
30
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
31,
40
]
}
]
},
"favorite_count": 4,
"favorited": false,
"full_text": "@ziv_ravid @ylecun @ChenShani2 @jurafsky Embeddings encode structure-rich context. From that, reasoning emerges, not from logic, but from latent geometry. Intelligence, in this view, is not sentience ā itās behavioral generalization.",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118792803987636",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "1700056746218123264",
"id_str": "1928174580725674043"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928174580725674043-tweet-1928981018968506730",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928981018968506730",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928981018968506730"
],
"editable_until_msecs": "1748743488000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "283",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sun Jun 01 01:04:48 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
43,
130
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1700056746218123264",
"name": "Benedict Kerres",
"screen_name": "benedictk__",
"indices": [
0,
12
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
13,
20
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
21,
32
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
33,
42
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@benedictk__ @ylecun @ChenShani2 @jurafsky I agree, and this is why we must expose them to a much richer and more diverse context.",
"in_reply_to_screen_name": "benedictk__",
"in_reply_to_status_id_str": "1928174580725674043",
"in_reply_to_user_id_str": "1700056746218123264",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928981018968506730"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1928981018968506730"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928143445194940709",
"sortIndex": "1953508698890436548",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1928143445194940709-tweet-1928143445194940709",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928143445194940709",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo0OTQ3MDg1NzU=",
"rest_id": "494708575",
"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": "Fri Feb 17 05:27:22 +0000 2012",
"default_profile": false,
"default_profile_image": false,
"description": "#AI #Archaeology #Art #Biology #CognitiveScience #ComplexSystems #Cricket #Farsi #History #Neuroscience #Poetry #Politics #SciFi #SouthAsia #Urdu",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "barbarikon.blogspot.com",
"expanded_url": "http://barbarikon.blogspot.com/",
"url": "https://t.co/jrGUrRPBv2",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 92586,
"followers_count": 3763,
"friends_count": 3016,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 153,
"location": "Invisible Cities",
"media_count": 755,
"name": "Ali Minai",
"normal_followers_count": 3763,
"pinned_tweet_ids_str": [
"1725729298705736044"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/494708575/1485103340",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1832964027/image_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "barbarikon",
"statuses_count": 107564,
"translator_type": "none",
"url": "https://t.co/jrGUrRPBv2",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928143445194940709"
],
"editable_until_msecs": "1748543795000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "2365",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Thu May 29 17:36:35 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
41,
73
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1287669805592576000",
"name": "Ravid Shwartz Ziv",
"screen_name": "ziv_ravid",
"indices": [
0,
10
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
11,
18
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
19,
30
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
31,
40
]
}
]
},
"favorite_count": 4,
"favorited": false,
"full_text": "@ziv_ravid @ylecun @ChenShani2 @jurafsky Wonderful. Not surprised at all!",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118792803987636",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "494708575",
"id_str": "1928143445194940709"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928143445194940709-tweet-1928146573856235943",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928146573856235943",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928146573856235943"
],
"editable_until_msecs": "1748544541000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "2149",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Thu May 29 17:49:01 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
42,
49
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "494708575",
"name": "Ali Minai",
"screen_name": "barbarikon",
"indices": [
0,
11
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
12,
19
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
20,
31
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
32,
41
]
}
]
},
"favorite_count": 3,
"favorited": false,
"full_text": "@barbarikon @ylecun @ChenShani2 @jurafsky Thanks!",
"in_reply_to_screen_name": "barbarikon",
"in_reply_to_status_id_str": "1928143445194940709",
"in_reply_to_user_id_str": "494708575",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928146573856235943"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1928146573856235943"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928454997089411564",
"sortIndex": "1953508698890436538",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1928454997089411564-tweet-1928454997089411564",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "TweetTombstone",
"tombstone": {
"__typename": "TextTombstone",
"text": {
"rtl": false,
"text": "This Post was deleted by the Post author. Learn more",
"entities": [
{
"fromIndex": 42,
"toIndex": 52,
"ref": {
"type": "TimelineUrl",
"url": "https://help.twitter.com/rules-and-policies/notices-on-twitter",
"urlType": "ExternalUrl"
}
}
]
}
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928454997089411564-tweet-1928980050931577261",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928980050931577261",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928980050931577261"
],
"editable_until_msecs": "1748743257000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "81",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sun Jun 01 01:00:57 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
42,
43
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1885974924776333312",
"name": "ļøļøļøļønoah/ark",
"screen_name": "0xnoahsark",
"indices": [
0,
11
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
12,
19
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
20,
31
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
32,
41
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@0xnoahsark @ylecun @ChenShani2 @jurafsky š¤",
"in_reply_to_screen_name": "0xnoahsark",
"in_reply_to_status_id_str": "1928454997089411564",
"in_reply_to_user_id_str": "1885974924776333312",
"is_quote_status": false,
"lang": "qme",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928980050931577261"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1928980050931577261"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928259627092721792",
"sortIndex": "1953508698890436528",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1928259627092721792-tweet-1928259627092721792",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928259627092721792",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMzQ5NzU2MDI2ODcwOTE5MTcw",
"rest_id": "1349756026870919170",
"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": "Thu Jan 14 16:32:36 +0000 2021",
"default_profile": true,
"default_profile_image": false,
"description": "Embodied lifelong learning (compositionality, RL, TAMP, robotics). Assistant Professor at @SBU_ECE. Postdoc at @MIT_LISLab. PhD from @GRASPlab.",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "jorge-a-mendez.github.io",
"expanded_url": "https://jorge-a-mendez.github.io",
"url": "https://t.co/aTuOeS1aGQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 238,
"followers_count": 324,
"friends_count": 69,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 6,
"location": "",
"media_count": 29,
"name": "Jorge Mendez-Mendez",
"normal_followers_count": 324,
"pinned_tweet_ids_str": [
"1816405869740818824"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1384866743697379331/9SUbf-9E_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "JorgeAMendez_",
"statuses_count": 140,
"translator_type": "none",
"url": "https://t.co/aTuOeS1aGQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928259627092721792"
],
"editable_until_msecs": "1748571495000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1937",
"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 May 30 01:18:15 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
41,
178
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1287669805592576000",
"name": "Ravid Shwartz Ziv",
"screen_name": "ziv_ravid",
"indices": [
0,
10
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
11,
18
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
19,
30
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
31,
40
]
}
]
},
"favorite_count": 3,
"favorited": false,
"full_text": "@ziv_ravid @ylecun @ChenShani2 @jurafsky Very interesting thread. Look forward to reading the paper. Always appreciate reading a balanced, scientific take on the current AI hype.",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118792803987636",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1349756026870919170",
"id_str": "1928259627092721792"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928259627092721792-tweet-1928265742979309802",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928265742979309802",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928265742979309802"
],
"editable_until_msecs": "1748572953000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1616",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri May 30 01:42:33 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
45,
52
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1349756026870919170",
"name": "Jorge Mendez-Mendez",
"screen_name": "JorgeAMendez_",
"indices": [
0,
14
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
15,
22
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
23,
34
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
35,
44
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@JorgeAMendez_ @ylecun @ChenShani2 @jurafsky Thanks!",
"in_reply_to_screen_name": "JorgeAMendez_",
"in_reply_to_status_id_str": "1928259627092721792",
"in_reply_to_user_id_str": "1349756026870919170",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928265742979309802"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1928265742979309802"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928699669816762629",
"sortIndex": "1953508698890436518",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1928699669816762629-tweet-1928699669816762629",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928699669816762629",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjA4MzI0NDE5NDg1MTUxMjMy",
"rest_id": "1208324419485151232",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Sat Dec 21 09:52:56 +0000 2019",
"default_profile": true,
"default_profile_image": false,
"description": "AI Researcher | Freelancer | Music Lover",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 18443,
"followers_count": 136,
"friends_count": 2029,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 1,
"location": "Digital Nomad",
"media_count": 7,
"name": "Radheshyam",
"normal_followers_count": 136,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1208324419485151232/1740482616",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1923236378797801472/_jai0RDe_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "iam_radheraaga",
"statuses_count": 4894,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928699669816762629"
],
"editable_until_msecs": "1748676409000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "160",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sat May 31 06:26:49 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
41,
64
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1287669805592576000",
"name": "Ravid Shwartz Ziv",
"screen_name": "ziv_ravid",
"indices": [
0,
10
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
11,
18
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
19,
30
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
31,
40
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@ziv_ravid @ylecun @ChenShani2 @jurafsky Very interesting work š",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118792803987636",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1208324419485151232",
"id_str": "1928699669816762629"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928699669816762629-tweet-1928979567613526193",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928979567613526193",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928979567613526193"
],
"editable_until_msecs": "1748743142000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "143",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sun Jun 01 00:59:02 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
46,
53
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1208324419485151232",
"name": "Radheshyam",
"screen_name": "iam_radheraaga",
"indices": [
0,
15
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
16,
23
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
24,
35
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
36,
45
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@iam_radheraaga @ylecun @ChenShani2 @jurafsky Thanks!",
"in_reply_to_screen_name": "iam_radheraaga",
"in_reply_to_status_id_str": "1928699669816762629",
"in_reply_to_user_id_str": "1208324419485151232",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928979567613526193"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1928979567613526193"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928838857715335202",
"sortIndex": "1953508698890436508",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1928838857715335202-tweet-1928838857715335202",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928838857715335202",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDE3MTI0MA==",
"rest_id": "14171240",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Tue Mar 18 17:45:09 +0000 2008",
"default_profile": false,
"default_profile_image": false,
"description": "Then Minerva, UofT, USC IYA, Mills College. Now JHU CS. Some Tweets not even opinions, just snarky asides. https://t.co/1mrnlx6QDQ",
"entities": {
"description": {
"urls": [
{
"display_url": "djjrjr.bsky.social",
"expanded_url": "http://djjrjr.bsky.social",
"url": "https://t.co/1mrnlx6QDQ",
"indices": [
107,
130
]
}
]
},
"url": {
"urls": [
{
"display_url": "djjr.ca",
"expanded_url": "https://djjr.ca",
"url": "https://t.co/xP1qKDCahw",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 4942,
"followers_count": 662,
"friends_count": 864,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 35,
"location": "Toronto Oak LA Baltimore/DC",
"media_count": 228,
"name": "Dan Ryan",
"normal_followers_count": 662,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/14171240/1544835352",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/589566123596648448/fXKL0AKz_normal.png",
"profile_interstitial_type": "",
"screen_name": "djjr",
"statuses_count": 9715,
"translator_type": "none",
"url": "https://t.co/xP1qKDCahw",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928838857715335202"
],
"editable_until_msecs": "1748709594000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "173",
"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 May 31 15:39:54 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
41,
139
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1287669805592576000",
"name": "Ravid Shwartz Ziv @ICML",
"screen_name": "ziv_ravid",
"indices": [
0,
10
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
11,
18
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
19,
30
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
31,
40
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@ziv_ravid @ylecun @ChenShani2 @jurafsky I wonder whether making LLMs survive in the world during training would produce different outcomes",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118792803987636",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "14171240",
"id_str": "1928838857715335202"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928838857715335202-tweet-1928980275360329903",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928980275360329903",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928980275360329903"
],
"editable_until_msecs": "1748743311000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "130",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sun Jun 01 01:01:51 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
36,
63
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "14171240",
"name": "Dan Ryan",
"screen_name": "djjr",
"indices": [
0,
5
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
6,
13
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
14,
25
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
26,
35
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@djjr @ylecun @ChenShani2 @jurafsky My guess the answer is yess",
"in_reply_to_screen_name": "djjr",
"in_reply_to_status_id_str": "1928838857715335202",
"in_reply_to_user_id_str": "14171240",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928980275360329903"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1928980275360329903"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928395230430007380",
"sortIndex": "1953508698890436498",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1928395230430007380-tweet-1928395230430007380",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928395230430007380",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo0MjQxNzUwMTU=",
"rest_id": "424175015",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Tue Nov 29 12:11:51 +0000 2011",
"default_profile": true,
"default_profile_image": false,
"description": "",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ru.linkedin.com/in/yuryleonychā¦",
"expanded_url": "https://ru.linkedin.com/in/yuryleonychev/en",
"url": "https://t.co/JEwTK0Ma2X",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6381,
"followers_count": 303,
"friends_count": 243,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 17,
"location": "Tokyo-to, Japan",
"media_count": 67,
"name": "tracer.tong",
"normal_followers_count": 303,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/2025653508/logo_deus_ex_3D_v2_normal.png",
"profile_interstitial_type": "",
"screen_name": "tracer0tong",
"statuses_count": 2364,
"translator_type": "none",
"url": "https://t.co/JEwTK0Ma2X",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928395230430007380"
],
"editable_until_msecs": "1748603825000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "227",
"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 May 30 10:17:05 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
41,
188
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1287669805592576000",
"name": "Ravid Shwartz Ziv",
"screen_name": "ziv_ravid",
"indices": [
0,
10
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
11,
18
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
19,
30
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
31,
40
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
66,
73
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@ziv_ravid @ylecun @ChenShani2 @jurafsky Thank you for your work, @ylecun always says, that current LLM are not approaching AGI, but you pretty much found where they are turning wrong way.",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118792803987636",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "424175015",
"id_str": "1928395230430007380"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928395230430007380-tweet-1928980383472721946",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928980383472721946",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928980383472721946"
],
"editable_until_msecs": "1748743336000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "124",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sun Jun 01 01:02:16 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
43,
50
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "424175015",
"name": "tracer.tong",
"screen_name": "tracer0tong",
"indices": [
0,
12
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
13,
20
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
21,
32
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
33,
42
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@tracer0tong @ylecun @ChenShani2 @jurafsky Thanks!",
"in_reply_to_screen_name": "tracer0tong",
"in_reply_to_status_id_str": "1928395230430007380",
"in_reply_to_user_id_str": "424175015",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928980383472721946"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1928980383472721946"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928208369698947572",
"sortIndex": "1953508698890436488",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1928208369698947572-tweet-1928208369698947572",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928208369698947572",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNjE5ODk5MTQ=",
"rest_id": "161989914",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Fri Jul 02 09:13:36 +0000 2010",
"default_profile": true,
"default_profile_image": false,
"description": "",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 1828,
"followers_count": 29,
"friends_count": 624,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 0,
"location": "",
"media_count": 3,
"name": "NARENDRA KUMAR",
"normal_followers_count": 29,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/161989914/1659089997",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1612429061477003264/lpo7yy61_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "NARENNNNNN",
"statuses_count": 295,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928208369698947572"
],
"editable_until_msecs": "1748559274000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1483",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Thu May 29 21:54:34 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
41,
101
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1287669805592576000",
"name": "Ravid Shwartz Ziv",
"screen_name": "ziv_ravid",
"indices": [
0,
10
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
11,
18
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
19,
30
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
31,
40
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@ziv_ravid @ylecun @ChenShani2 @jurafsky This is great stuff, interesting study in times of AI Chaos!",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118792803987636",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "161989914",
"id_str": "1928208369698947572"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928208369698947572-tweet-1928211980692660322",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928211980692660322",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928211980692660322"
],
"editable_until_msecs": "1748560135000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1318",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Thu May 29 22:08:55 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
42,
49
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "161989914",
"name": "NARENDRA KUMAR",
"screen_name": "NARENNNNNN",
"indices": [
0,
11
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
12,
19
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
20,
31
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
32,
41
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@NARENNNNNN @ylecun @ChenShani2 @jurafsky Thanks!",
"in_reply_to_screen_name": "NARENNNNNN",
"in_reply_to_status_id_str": "1928208369698947572",
"in_reply_to_user_id_str": "161989914",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928211980692660322"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1928211980692660322"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928505412279562526",
"sortIndex": "1953508698890436478",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1928505412279562526-tweet-1928505412279562526",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928505412279562526",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxOTE4NzY3NTQ2NDk4NDMzMDI0",
"rest_id": "1918767546498433024",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Sat May 03 20:40:17 +0000 2025",
"default_profile": true,
"default_profile_image": false,
"description": "Hmm",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 103,
"followers_count": 0,
"friends_count": 12,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 0,
"location": "",
"media_count": 0,
"name": "Computer Couture",
"normal_followers_count": 0,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1918972780453699584/fx3vDsjb_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "CompussyCouture",
"statuses_count": 36,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928505412279562526"
],
"editable_until_msecs": "1748630094000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "209",
"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 May 30 17:34:54 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
41,
58
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1287669805592576000",
"name": "Ravid Shwartz Ziv",
"screen_name": "ziv_ravid",
"indices": [
0,
10
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
11,
18
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
19,
30
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
31,
40
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@ziv_ravid @ylecun @ChenShani2 @jurafsky Peer review done?",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118792803987636",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1918767546498433024",
"id_str": "1928505412279562526"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928505412279562526-tweet-1928979725663305942",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928979725663305942",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928979725663305942"
],
"editable_until_msecs": "1748743179000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "170",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sun Jun 01 00:59:39 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
47,
51
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1918767546498433024",
"name": "Computer Couture",
"screen_name": "CompussyCouture",
"indices": [
0,
16
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
17,
24
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
25,
36
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
37,
46
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@CompussyCouture @ylecun @ChenShani2 @jurafsky Nope",
"in_reply_to_screen_name": "CompussyCouture",
"in_reply_to_status_id_str": "1928505412279562526",
"in_reply_to_user_id_str": "1918767546498433024",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928979725663305942"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1928979725663305942"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928901425112694921",
"sortIndex": "1953508698890436468",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1928901425112694921-tweet-1928901425112694921",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928901425112694921",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNzMzMTU0NjcwMzIxNzcwNDk3",
"rest_id": "1733154670321770497",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Fri Dec 08 16:01:12 +0000 2023",
"default_profile": true,
"default_profile_image": false,
"description": "",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 1141,
"followers_count": 19,
"friends_count": 144,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 0,
"location": "",
"media_count": 2,
"name": "ADridi",
"normal_followers_count": 19,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1733154771396124672/LXtYnrfP_normal.png",
"profile_interstitial_type": "",
"screen_name": "_ADridi",
"statuses_count": 15,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928901425112694921"
],
"editable_until_msecs": "1748724511000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "217",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 1,
"bookmarked": false,
"created_at": "Sat May 31 19:48:31 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
41,
313
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1287669805592576000",
"name": "Ravid Shwartz Ziv",
"screen_name": "ziv_ravid",
"indices": [
0,
10
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
11,
18
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
19,
30
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
31,
40
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@ziv_ravid @ylecun @ChenShani2 @jurafsky Fascinating read! Loved the information theory side of it\n\nI was curious:\n- How would models larger than 70b perform? To what extent does a models parameter size influence the underlying semantic structure?\n- Is using solely the embedding layer to measure typicality fair?",
"in_reply_to_screen_name": "ziv_ravid",
"in_reply_to_status_id_str": "1928118792803987636",
"in_reply_to_user_id_str": "1287669805592576000",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1733154670321770497",
"id_str": "1928901425112694921"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1928901425112694921-tweet-1928979361450840466",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1928979361450840466",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjg3NjY5ODA1NTkyNTc2MDAw",
"rest_id": "1287669805592576000",
"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": "Mon Jul 27 08:43:10 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Faculty Fellow and Assistant Professor at @NYUDataScience. Talk to me about LLMs, Compression and Tabular Data",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ravid-shwartz-ziv.com",
"expanded_url": "https://www.ravid-shwartz-ziv.com/",
"url": "https://t.co/QP46BTMHRQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6681,
"followers_count": 8007,
"friends_count": 1882,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 103,
"location": "",
"media_count": 225,
"name": "Ravid Shwartz Ziv",
"normal_followers_count": 8007,
"pinned_tweet_ids_str": [
"1651818343815340034"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1287669971582103558/h0zCJZ0j_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ziv_ravid",
"statuses_count": 4319,
"translator_type": "none",
"url": "https://t.co/QP46BTMHRQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1579271229483229184",
"professional_type": "Business",
"category": [
{
"id": 150,
"name": "College & University",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1928979361450840466"
],
"editable_until_msecs": "1748743093000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "152",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sun Jun 01 00:58:13 +0000 2025",
"conversation_id_str": "1928118792803987636",
"display_text_range": [
39,
163
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1733154670321770497",
"name": "ADridi",
"screen_name": "_ADridi",
"indices": [
0,
8
]
},
{
"id_str": "48008938",
"name": "Yann LeCun",
"screen_name": "ylecun",
"indices": [
9,
16
]
},
{
"id_str": "1200741300645052416",
"name": "Chen Shani",
"screen_name": "ChenShani2",
"indices": [
17,
28
]
},
{
"id_str": "14968475",
"name": "Dan Jurafsky",
"screen_name": "jurafsky",
"indices": [
29,
38
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@_ADridi @ylecun @ChenShani2 @jurafsky Thanks! \n-Till 70b, we didn't find a high correlation with the underlying semantic structure. \n- I think it's fair enough :)",
"in_reply_to_screen_name": "_ADridi",
"in_reply_to_status_id_str": "1928901425112694921",
"in_reply_to_user_id_str": "1733154670321770497",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1287669805592576000",
"id_str": "1928979361450840466"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1928979361450840466"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "cursor-bottom-1953508698890436467",
"sortIndex": "1953508698890436467",
"content": {
"entryType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAAFCgABGxxBz77__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",
"cursorType": "Bottom"
}
}
]
},
{
"type": "TimelineTerminateTimeline",
"direction": "Top"
}
],
"metadata": {
"reader_mode_config": {
"is_reader_mode_available": true
},
"scribeConfig": {
"page": "ranked_replies"
}
}
}
}
}