Viewing enriched Twitter post
A few more observations after replicating the Tower of Hanoi game with their exact prompts: - You need AT LEAST 2^N - 1 moves and the output format requires 10 tokens per move + some constant stuff. - Furthermore the output limit for Sonnet 3.7 is 128k, DeepSeek R1 64K, and… https://t.co/ax5ZK4WkGx
{
"media": [
{
"type": "image",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1931783050511126954/media_0.jpg?",
"filename": "media_0.jpg"
},
{
"type": "image",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1931783050511126954/media_1.jpg?",
"filename": "media_1.jpg"
}
],
"nlp": {
"sentiment": "neutral",
"topics": [
"Tower of Hanoi",
"game replication",
"output limits"
],
"entities": [],
"summary": "The tweet discusses observations about the Tower of Hanoi game and its output requirements.",
"language": "en",
"processed_at": "2025-08-07T11:51:07.322229"
}
}{
"data": {
"threaded_conversation_with_injections_v2": {
"instructions": [
{
"type": "TimelineClearCache"
},
{
"type": "TimelineAddEntries",
"entries": [
{
"entryId": "tweet-1931783050511126954",
"sortIndex": "1953514238869766144",
"content": {
"entryType": "TimelineTimelineItem",
"__typename": "TimelineTimelineItem",
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931783050511126954",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI1MjQzNjQzNTI5MDI3NTg0",
"rest_id": "1825243643529027584",
"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": "Sun Aug 18 18:50:26 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "lead them to paradise |\n\nintelligence is inherently about scaling |\n\nbe kind to us AGI",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 19258,
"followers_count": 18361,
"friends_count": 609,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 311,
"location": "",
"media_count": 2054,
"name": "Lisan al Gaib",
"normal_followers_count": 18361,
"pinned_tweet_ids_str": [
"1874608907508752546"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1825243643529027584/1725497772",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1831493788679761920/-q9w6dzd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "scaling01",
"statuses_count": 10024,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1906073027961663963",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931783050511126954"
],
"editable_until_msecs": "1749411544000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "610402",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MzE3ODMwNTAzMTgxOTY3MzY=",
"text": "A few more observations after replicating the Tower of Hanoi game with their exact prompts:\n\n- You need AT LEAST 2^N - 1 moves and the output format requires 10 tokens per move + some constant stuff.\n- Furthermore the output limit for Sonnet 3.7 is 128k, DeepSeek R1 64K, and o3-mini 100k tokens. This includes the reasoning tokens they use before outputting their final answer!\n\n- all models will have 0 accuracy with more than 13 disks simply because they can not output that much!\n\n- the max solvable sizes WITHOUT ANY ROOM FOR REASONING (floor(log2(output_limit/10)))\n DeepSeek: 12 disks\n Sonnet 3.7 and o3-mini: 13 disks\n\n- If you actually look at the output of the models you will see that they don't even reason about the problem if it gets too large:\n\"Due to the large number of moves, I'll explain the solution approach rather than listing all 32,767 moves individually\"\n\n- At least for Sonnet it doesn't try to reason through the problem once it's above ~7 disks. It will state what the problem and the algorithm to solve it and then output its solution without even thinking about individual steps.\n\n- it's also interesting to look at the models as having a X% chance of picking the correct token at each move\n- even with a 99.99% probability the models will eventually make an error simply because of the exponentially growing problem size",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": [
{
"from_index": 380,
"to_index": 483,
"richtext_types": [
"Bold"
]
},
{
"from_index": 510,
"to_index": 541,
"richtext_types": [
"Bold"
]
}
]
},
"media": {
"inline_media": [
{
"media_id": "1931770645286645760",
"index": 91
},
{
"media_id": "1931781588255117313",
"index": 1354
}
]
}
}
}
},
"quoted_status_result": {
"result": {
"__typename": "Tweet",
"rest_id": "1931182279755178074",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNTM3MDAxOQ==",
"rest_id": "15370019",
"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": "Wed Jul 09 20:38:50 +0000 2008",
"default_profile": false,
"default_profile_image": false,
"description": "co-founder + partner @ Lux Capital | Trustee @SfiScience Santa Fe Inst | Founding Chair @CiPrep (Brooklyn) | Co-Founder of Carson, Quinn & Bodhi w/ @ltwolfe",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "luxcapital.com",
"expanded_url": "http://www.luxcapital.com",
"url": "https://t.co/EwJhet6mem",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 91065,
"followers_count": 164878,
"friends_count": 7270,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 2979,
"location": "",
"media_count": 9715,
"name": "Josh Wolfe",
"normal_followers_count": 164878,
"pinned_tweet_ids_str": [
"1890045524717297756"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/15370019/1705692400",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1463499282036756482/D3nSbqZb_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "wolfejosh",
"statuses_count": 71432,
"translator_type": "none",
"url": "https://t.co/EwJhet6mem",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1576562694706135043",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": true
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931182279755178074"
],
"editable_until_msecs": "1749268309000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "3423868",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 5200,
"bookmarked": false,
"created_at": "Sat Jun 07 02:51:49 +0000 2025",
"conversation_id_str": "1931182279755178074",
"display_text_range": [
0,
45
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/735UMGk4be",
"expanded_url": "https://x.com/wolfejosh/status/1931182279755178074/photo/1",
"id_str": "1931182208812724224",
"indices": [
46,
69
],
"media_key": "3_1931182208812724224",
"media_url_https": "https://pbs.twimg.com/media/Gszv_LDWMAAT5Zm.jpg",
"type": "photo",
"url": "https://t.co/735UMGk4be",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1616,
"w": 1278,
"resize": "fit"
},
"medium": {
"h": 1200,
"w": 949,
"resize": "fit"
},
"small": {
"h": 680,
"w": 538,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1616,
"width": 1278,
"focus_rects": [
{
"x": 0,
"y": 5,
"w": 1278,
"h": 716
},
{
"x": 0,
"y": 0,
"w": 1278,
"h": 1278
},
{
"x": 0,
"y": 0,
"w": 1278,
"h": 1457
},
{
"x": 121,
"y": 0,
"w": 808,
"h": 1616
},
{
"x": 0,
"y": 0,
"w": 1278,
"h": 1616
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931182208812724224"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/735UMGk4be",
"expanded_url": "https://x.com/wolfejosh/status/1931182279755178074/photo/1",
"id_str": "1931182208812724224",
"indices": [
46,
69
],
"media_key": "3_1931182208812724224",
"media_url_https": "https://pbs.twimg.com/media/Gszv_LDWMAAT5Zm.jpg",
"type": "photo",
"url": "https://t.co/735UMGk4be",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1616,
"w": 1278,
"resize": "fit"
},
"medium": {
"h": 1200,
"w": 949,
"resize": "fit"
},
"small": {
"h": 680,
"w": 538,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1616,
"width": 1278,
"focus_rects": [
{
"x": 0,
"y": 5,
"w": 1278,
"h": 716
},
{
"x": 0,
"y": 0,
"w": 1278,
"h": 1278
},
{
"x": 0,
"y": 0,
"w": 1278,
"h": 1457
},
{
"x": 121,
"y": 0,
"w": 808,
"h": 1616
},
{
"x": 0,
"y": 0,
"w": 1278,
"h": 1616
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931182208812724224"
}
}
}
]
},
"favorite_count": 5094,
"favorited": false,
"full_text": "Apple just GaryMarcus'd LLM reasoning ability https://t.co/735UMGk4be",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 246,
"reply_count": 223,
"retweet_count": 602,
"retweeted": false,
"user_id_str": "15370019",
"id_str": "1931182279755178074"
}
}
},
"legacy": {
"bookmark_count": 960,
"bookmarked": false,
"created_at": "Sun Jun 08 18:39:04 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
0,
276
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/ax5ZK4WkGx",
"expanded_url": "https://x.com/scaling01/status/1931783050511126954/photo/1",
"id_str": "1931770645286645760",
"indices": [
277,
300
],
"media_key": "3_1931770645286645760",
"media_url_https": "https://pbs.twimg.com/media/Gs8HKrvWcAANJM0.png",
"type": "photo",
"url": "https://t.co/ax5ZK4WkGx",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 342,
"w": 415,
"resize": "fit"
},
"medium": {
"h": 342,
"w": 415,
"resize": "fit"
},
"small": {
"h": 342,
"w": 415,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 342,
"width": 415,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 415,
"h": 232
},
{
"x": 67,
"y": 0,
"w": 342,
"h": 342
},
{
"x": 88,
"y": 0,
"w": 300,
"h": 342
},
{
"x": 153,
"y": 0,
"w": 171,
"h": 342
},
{
"x": 0,
"y": 0,
"w": 415,
"h": 342
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931770645286645760"
}
}
},
{
"display_url": "pic.x.com/ax5ZK4WkGx",
"expanded_url": "https://x.com/scaling01/status/1931783050511126954/photo/1",
"id_str": "1931781588255117313",
"indices": [
277,
300
],
"media_key": "3_1931781588255117313",
"media_url_https": "https://pbs.twimg.com/media/Gs8RHpeWEAEhXvA.jpg",
"type": "photo",
"url": "https://t.co/ax5ZK4WkGx",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 980,
"w": 1580,
"resize": "fit"
},
"medium": {
"h": 744,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 422,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 980,
"width": 1580,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1580,
"h": 885
},
{
"x": 600,
"y": 0,
"w": 980,
"h": 980
},
{
"x": 720,
"y": 0,
"w": 860,
"h": 980
},
{
"x": 1090,
"y": 0,
"w": 490,
"h": 980
},
{
"x": 0,
"y": 0,
"w": 1580,
"h": 980
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931781588255117313"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/ax5ZK4WkGx",
"expanded_url": "https://x.com/scaling01/status/1931783050511126954/photo/1",
"id_str": "1931770645286645760",
"indices": [
277,
300
],
"media_key": "3_1931770645286645760",
"media_url_https": "https://pbs.twimg.com/media/Gs8HKrvWcAANJM0.png",
"type": "photo",
"url": "https://t.co/ax5ZK4WkGx",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 342,
"w": 415,
"resize": "fit"
},
"medium": {
"h": 342,
"w": 415,
"resize": "fit"
},
"small": {
"h": 342,
"w": 415,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 342,
"width": 415,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 415,
"h": 232
},
{
"x": 67,
"y": 0,
"w": 342,
"h": 342
},
{
"x": 88,
"y": 0,
"w": 300,
"h": 342
},
{
"x": 153,
"y": 0,
"w": 171,
"h": 342
},
{
"x": 0,
"y": 0,
"w": 415,
"h": 342
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931770645286645760"
}
}
},
{
"display_url": "pic.x.com/ax5ZK4WkGx",
"expanded_url": "https://x.com/scaling01/status/1931783050511126954/photo/1",
"id_str": "1931781588255117313",
"indices": [
277,
300
],
"media_key": "3_1931781588255117313",
"media_url_https": "https://pbs.twimg.com/media/Gs8RHpeWEAEhXvA.jpg",
"type": "photo",
"url": "https://t.co/ax5ZK4WkGx",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 980,
"w": 1580,
"resize": "fit"
},
"medium": {
"h": 744,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 422,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 980,
"width": 1580,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1580,
"h": 885
},
{
"x": 600,
"y": 0,
"w": 980,
"h": 980
},
{
"x": 720,
"y": 0,
"w": 860,
"h": 980
},
{
"x": 1090,
"y": 0,
"w": 490,
"h": 980
},
{
"x": 0,
"y": 0,
"w": 1580,
"h": 980
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931781588255117313"
}
}
}
]
},
"favorite_count": 1778,
"favorited": false,
"full_text": "A few more observations after replicating the Tower of Hanoi game with their exact prompts:\n\n- You need AT LEAST 2^N - 1 moves and the output format requires 10 tokens per move + some constant stuff.\n- Furthermore the output limit for Sonnet 3.7 is 128k, DeepSeek R1 64K, and… https://t.co/ax5ZK4WkGx",
"is_quote_status": true,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 108,
"quoted_status_id_str": "1931182279755178074",
"quoted_status_permalink": {
"url": "https://t.co/BA1Yp7OqBh",
"expanded": "https://twitter.com/wolfejosh/status/1931182279755178074",
"display": "x.com/wolfejosh/stat…"
},
"reply_count": 84,
"retweet_count": 255,
"retweeted": false,
"user_id_str": "1825243643529027584",
"id_str": "1931783050511126954"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet"
}
}
},
{
"entryId": "conversationthread-1931785955935129670",
"sortIndex": "1953514238869766134",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1931785955935129670-tweet-1931785955935129670",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931785955935129670",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI1MjQzNjQzNTI5MDI3NTg0",
"rest_id": "1825243643529027584",
"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": "Sun Aug 18 18:50:26 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "lead them to paradise |\n\nintelligence is inherently about scaling |\n\nbe kind to us AGI",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 19258,
"followers_count": 18361,
"friends_count": 609,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 311,
"location": "",
"media_count": 2054,
"name": "Lisan al Gaib",
"normal_followers_count": 18361,
"pinned_tweet_ids_str": [
"1874608907508752546"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1825243643529027584/1725497772",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1831493788679761920/-q9w6dzd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "scaling01",
"statuses_count": 10024,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1906073027961663963",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931785955935129670"
],
"editable_until_msecs": "1749412237000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "19747",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MzE3ODU5NTU4Mzg3NDI1Mjg=",
"text": "Decomposing helps the model to focus more on reasoning as it keeps the problem size smaller but it will basically get lost in the algorithm and repeat steps.\nIt needs the history to pick up where it left, although Tower of Hanoi is in theory stateless. Like after each move the optimal move only depends on the current state.\n\nThis was with Gemini 2.0 Flash. So not a reasoning model. But as you can see decomposing the full problem that should be solvable into 2^n-1 steps, into chunks of 5 steps at a time worsens performance.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 11,
"bookmarked": false,
"created_at": "Sun Jun 08 18:50:37 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
0,
278
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/Y8KVhgkS14",
"expanded_url": "https://x.com/scaling01/status/1931785955935129670/photo/1",
"id_str": "1931785646701486080",
"indices": [
279,
302
],
"media_key": "3_1931785646701486080",
"media_url_https": "https://pbs.twimg.com/media/Gs8Uz4XXIAAM3bR.png",
"type": "photo",
"url": "https://t.co/Y8KVhgkS14",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1229,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 720,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 408,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1800,
"width": 3000,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 3000,
"h": 1680
},
{
"x": 1200,
"y": 0,
"w": 1800,
"h": 1800
},
{
"x": 1421,
"y": 0,
"w": 1579,
"h": 1800
},
{
"x": 2100,
"y": 0,
"w": 900,
"h": 1800
},
{
"x": 0,
"y": 0,
"w": 3000,
"h": 1800
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931785646701486080"
}
}
},
{
"display_url": "pic.x.com/Y8KVhgkS14",
"expanded_url": "https://x.com/scaling01/status/1931785955935129670/photo/1",
"id_str": "1931785665953333248",
"indices": [
279,
302
],
"media_key": "3_1931785665953333248",
"media_url_https": "https://pbs.twimg.com/media/Gs8U1AFXAAAhP0w.png",
"type": "photo",
"url": "https://t.co/Y8KVhgkS14",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1229,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 720,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 408,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1800,
"width": 3000,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 3000,
"h": 1680
},
{
"x": 0,
"y": 0,
"w": 1800,
"h": 1800
},
{
"x": 0,
"y": 0,
"w": 1579,
"h": 1800
},
{
"x": 0,
"y": 0,
"w": 900,
"h": 1800
},
{
"x": 0,
"y": 0,
"w": 3000,
"h": 1800
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931785665953333248"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/Y8KVhgkS14",
"expanded_url": "https://x.com/scaling01/status/1931785955935129670/photo/1",
"id_str": "1931785646701486080",
"indices": [
279,
302
],
"media_key": "3_1931785646701486080",
"media_url_https": "https://pbs.twimg.com/media/Gs8Uz4XXIAAM3bR.png",
"type": "photo",
"url": "https://t.co/Y8KVhgkS14",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1229,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 720,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 408,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1800,
"width": 3000,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 3000,
"h": 1680
},
{
"x": 1200,
"y": 0,
"w": 1800,
"h": 1800
},
{
"x": 1421,
"y": 0,
"w": 1579,
"h": 1800
},
{
"x": 2100,
"y": 0,
"w": 900,
"h": 1800
},
{
"x": 0,
"y": 0,
"w": 3000,
"h": 1800
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931785646701486080"
}
}
},
{
"display_url": "pic.x.com/Y8KVhgkS14",
"expanded_url": "https://x.com/scaling01/status/1931785955935129670/photo/1",
"id_str": "1931785665953333248",
"indices": [
279,
302
],
"media_key": "3_1931785665953333248",
"media_url_https": "https://pbs.twimg.com/media/Gs8U1AFXAAAhP0w.png",
"type": "photo",
"url": "https://t.co/Y8KVhgkS14",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1229,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 720,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 408,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1800,
"width": 3000,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 3000,
"h": 1680
},
{
"x": 0,
"y": 0,
"w": 1800,
"h": 1800
},
{
"x": 0,
"y": 0,
"w": 1579,
"h": 1800
},
{
"x": 0,
"y": 0,
"w": 900,
"h": 1800
},
{
"x": 0,
"y": 0,
"w": 3000,
"h": 1800
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931785665953333248"
}
}
}
]
},
"favorite_count": 112,
"favorited": false,
"full_text": "Decomposing helps the model to focus more on reasoning as it keeps the problem size smaller but it will basically get lost in the algorithm and repeat steps.\nIt needs the history to pick up where it left, although Tower of Hanoi is in theory stateless. Like after each move the… https://t.co/Y8KVhgkS14",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931783050511126954",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 2,
"retweet_count": 2,
"retweeted": false,
"user_id_str": "1825243643529027584",
"id_str": "1931785955935129670"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931785955935129670-tweet-1931786769248481631",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931786769248481631",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI1MjQzNjQzNTI5MDI3NTg0",
"rest_id": "1825243643529027584",
"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": "Sun Aug 18 18:50:26 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "lead them to paradise |\n\nintelligence is inherently about scaling |\n\nbe kind to us AGI",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 19258,
"followers_count": 18361,
"friends_count": 609,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 311,
"location": "",
"media_count": 2054,
"name": "Lisan al Gaib",
"normal_followers_count": 18361,
"pinned_tweet_ids_str": [
"1874608907508752546"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1825243643529027584/1725497772",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1831493788679761920/-q9w6dzd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "scaling01",
"statuses_count": 10024,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1906073027961663963",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931786769248481631"
],
"editable_until_msecs": "1749412431000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "16719",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 8,
"bookmarked": false,
"created_at": "Sun Jun 08 18:53:51 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
0,
197
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 130,
"favorited": false,
"full_text": "But I also observed this peak in token usage across the models I tested at around 9-11 disks. \n\nThat's simply the threshold where the models say: \"Fuck off I'm not writing down 2^n_disks - 1 steps\"",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931785955935129670",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 2,
"retweet_count": 2,
"retweeted": false,
"user_id_str": "1825243643529027584",
"id_str": "1931786769248481631"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931785955935129670-tweet-1931789582498144423",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931789582498144423",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI1MjQzNjQzNTI5MDI3NTg0",
"rest_id": "1825243643529027584",
"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": "Sun Aug 18 18:50:26 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "lead them to paradise |\n\nintelligence is inherently about scaling |\n\nbe kind to us AGI",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 19258,
"followers_count": 18361,
"friends_count": 609,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 311,
"location": "",
"media_count": 2054,
"name": "Lisan al Gaib",
"normal_followers_count": 18361,
"pinned_tweet_ids_str": [
"1874608907508752546"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1825243643529027584/1725497772",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1831493788679761920/-q9w6dzd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "scaling01",
"statuses_count": 10024,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1906073027961663963",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931789582498144423"
],
"editable_until_msecs": "1749413102000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "17004",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MzE3ODk1ODI0MTQyOTkxMzY=",
"text": "But it's not like they are reasoning through the problem step by step before that anyway.\n\nI saw some reasoning for very small problems up until ~5-6 disks. After that it's just: repeat problem, repeat algorithm, print steps and then after those 10-11 disks they start saying fuck off I'm not doing all those steps\n\nAt 13 disks it's impossible to even output all the steps.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
}
}
}
},
"legacy": {
"bookmark_count": 3,
"bookmarked": false,
"created_at": "Sun Jun 08 19:05:02 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
0,
281
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 96,
"favorited": false,
"full_text": "But it's not like they are reasoning through the problem step by step before that anyway.\n\nI saw some reasoning for very small problems up until ~5-6 disks. After that it's just: repeat problem, repeat algorithm, print steps and then after those 10-11 disks they start saying fuck…",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931786769248481631",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": false,
"lang": "en",
"quote_count": 1,
"reply_count": 2,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1825243643529027584",
"id_str": "1931789582498144423"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931785955935129670-tweet-1931798708972359886",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931798708972359886",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI1MjQzNjQzNTI5MDI3NTg0",
"rest_id": "1825243643529027584",
"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": "Sun Aug 18 18:50:26 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "lead them to paradise |\n\nintelligence is inherently about scaling |\n\nbe kind to us AGI",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 19258,
"followers_count": 18361,
"friends_count": 609,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 311,
"location": "",
"media_count": 2054,
"name": "Lisan al Gaib",
"normal_followers_count": 18361,
"pinned_tweet_ids_str": [
"1874608907508752546"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1825243643529027584/1725497772",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1831493788679761920/-q9w6dzd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "scaling01",
"statuses_count": 10024,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1906073027961663963",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931798708972359886"
],
"editable_until_msecs": "1749415277000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "18609",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"quoted_status_result": {
"result": {
"__typename": "Tweet",
"rest_id": "1931796311965086037",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI1MjQzNjQzNTI5MDI3NTg0",
"rest_id": "1825243643529027584",
"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": "Sun Aug 18 18:50:26 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "lead them to paradise |\n\nintelligence is inherently about scaling |\n\nbe kind to us AGI",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 19258,
"followers_count": 18361,
"friends_count": 609,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 311,
"location": "",
"media_count": 2054,
"name": "Lisan al Gaib",
"normal_followers_count": 18361,
"pinned_tweet_ids_str": [
"1874608907508752546"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1825243643529027584/1725497772",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1831493788679761920/-q9w6dzd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "scaling01",
"statuses_count": 10024,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1906073027961663963",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931796311965086037"
],
"editable_until_msecs": "1749414706000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "80468",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MzE3OTYzMTE4NTYwNzg4NDg=",
"text": "ALL OF THIS IS JUST NONSENSE\n\nbut no they didn't even bother looking at the outputs\n\nThe models literally recite the algorithm in their chains-of-thought, in plain text and in code.\n\nAs I have explained in the other post, the steps of the different games do not have equal difficulty, so you can't use this as basis for saying:\n\"hAnOi mOrE sTePs, bEcAuSe Of tRaInInG dAtA\"",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"quotedRefResult": {
"result": {
"__typename": "Tweet",
"rest_id": "1931783050511126954"
}
},
"legacy": {
"bookmark_count": 125,
"bookmarked": false,
"created_at": "Sun Jun 08 19:31:46 +0000 2025",
"conversation_id_str": "1931796311965086037",
"display_text_range": [
0,
273
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/sMznCIwvia",
"expanded_url": "https://x.com/scaling01/status/1931796311965086037/photo/1",
"id_str": "1931794955954978816",
"indices": [
274,
297
],
"media_key": "3_1931794955954978816",
"media_url_https": "https://pbs.twimg.com/media/Gs8dRwCWgAA6PPa.png",
"type": "photo",
"url": "https://t.co/sMznCIwvia",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 792,
"w": 1275,
"resize": "fit"
},
"medium": {
"h": 745,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 422,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 792,
"width": 1275,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1275,
"h": 714
},
{
"x": 241,
"y": 0,
"w": 792,
"h": 792
},
{
"x": 290,
"y": 0,
"w": 695,
"h": 792
},
{
"x": 439,
"y": 0,
"w": 396,
"h": 792
},
{
"x": 0,
"y": 0,
"w": 1275,
"h": 792
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931794955954978816"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/sMznCIwvia",
"expanded_url": "https://x.com/scaling01/status/1931796311965086037/photo/1",
"id_str": "1931794955954978816",
"indices": [
274,
297
],
"media_key": "3_1931794955954978816",
"media_url_https": "https://pbs.twimg.com/media/Gs8dRwCWgAA6PPa.png",
"type": "photo",
"url": "https://t.co/sMznCIwvia",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 792,
"w": 1275,
"resize": "fit"
},
"medium": {
"h": 745,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 422,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 792,
"width": 1275,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1275,
"h": 714
},
{
"x": 241,
"y": 0,
"w": 792,
"h": 792
},
{
"x": 290,
"y": 0,
"w": 695,
"h": 792
},
{
"x": 439,
"y": 0,
"w": 396,
"h": 792
},
{
"x": 0,
"y": 0,
"w": 1275,
"h": 792
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931794955954978816"
}
}
}
]
},
"favorite_count": 382,
"favorited": false,
"full_text": "ALL OF THIS IS JUST NONSENSE\n\nbut no they didn't even bother looking at the outputs\n\nThe models literally recite the algorithm in their chains-of-thought, in plain text and in code.\n\nAs I have explained in the other post, the steps of the different games do not have equal… https://t.co/sMznCIwvia",
"is_quote_status": true,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 10,
"quoted_status_id_str": "1931783050511126954",
"quoted_status_permalink": {
"url": "https://t.co/9ynakd5Zlh",
"expanded": "https://twitter.com/scaling01/status/1931783050511126954",
"display": "x.com/scaling01/stat…"
},
"reply_count": 13,
"retweet_count": 32,
"retweeted": false,
"user_id_str": "1825243643529027584",
"id_str": "1931796311965086037"
}
}
},
"legacy": {
"bookmark_count": 7,
"bookmarked": false,
"created_at": "Sun Jun 08 19:41:17 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
0,
23
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "x.com/scaling01/stat…",
"expanded_url": "https://x.com/scaling01/status/1931796311965086037",
"url": "https://t.co/MjVnFbQRy4",
"indices": [
0,
23
]
}
],
"user_mentions": []
},
"favorite_count": 71,
"favorited": false,
"full_text": "https://t.co/MjVnFbQRy4",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931789582498144423",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": true,
"lang": "zxx",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"quoted_status_id_str": "1931796311965086037",
"quoted_status_permalink": {
"url": "https://t.co/MjVnFbQRy4",
"expanded": "https://x.com/scaling01/status/1931796311965086037",
"display": "x.com/scaling01/stat…"
},
"reply_count": 2,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1825243643529027584",
"id_str": "1931798708972359886"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931785955935129670-tweet-1931798808582594856",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931798808582594856",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI1MjQzNjQzNTI5MDI3NTg0",
"rest_id": "1825243643529027584",
"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": "Sun Aug 18 18:50:26 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "lead them to paradise |\n\nintelligence is inherently about scaling |\n\nbe kind to us AGI",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 19258,
"followers_count": 18361,
"friends_count": 609,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 311,
"location": "",
"media_count": 2054,
"name": "Lisan al Gaib",
"normal_followers_count": 18361,
"pinned_tweet_ids_str": [
"1874608907508752546"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1825243643529027584/1725497772",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1831493788679761920/-q9w6dzd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "scaling01",
"statuses_count": 10024,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1906073027961663963",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931798808582594856"
],
"editable_until_msecs": "1749415301000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "15784",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"quoted_status_result": {
"result": {
"__typename": "Tweet",
"rest_id": "1931794932253008020",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI1MjQzNjQzNTI5MDI3NTg0",
"rest_id": "1825243643529027584",
"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": "Sun Aug 18 18:50:26 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "lead them to paradise |\n\nintelligence is inherently about scaling |\n\nbe kind to us AGI",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 19258,
"followers_count": 18361,
"friends_count": 609,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 311,
"location": "",
"media_count": 2054,
"name": "Lisan al Gaib",
"normal_followers_count": 18361,
"pinned_tweet_ids_str": [
"1874608907508752546"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1825243643529027584/1725497772",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1831493788679761920/-q9w6dzd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "scaling01",
"statuses_count": 10024,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1906073027961663963",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931794932253008020"
],
"editable_until_msecs": "1749414377000",
"is_edit_eligible": true,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "22157",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"quotedRefResult": {
"result": {
"__typename": "Tweet",
"rest_id": "1931783050511126954"
}
},
"legacy": {
"bookmark_count": 15,
"bookmarked": false,
"created_at": "Sun Jun 08 19:26:17 +0000 2025",
"conversation_id_str": "1931794932253008020",
"display_text_range": [
0,
256
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 91,
"favorited": false,
"full_text": "and they are also extremely confused about the complexity of the games\n\njust because Tower of Hanoi requires exponentially more steps than the other ones, that only require quadratically or linearly more steps, doesn't mean Tower of Hanoi is more difficult",
"is_quote_status": true,
"lang": "en",
"quote_count": 2,
"quoted_status_id_str": "1931783050511126954",
"quoted_status_permalink": {
"url": "https://t.co/9ynakd5Zlh",
"expanded": "https://twitter.com/scaling01/status/1931783050511126954",
"display": "x.com/scaling01/stat…"
},
"reply_count": 3,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "1825243643529027584",
"id_str": "1931794932253008020"
}
}
},
"legacy": {
"bookmark_count": 2,
"bookmarked": false,
"created_at": "Sun Jun 08 19:41:41 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
0,
23
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "x.com/scaling01/stat…",
"expanded_url": "https://x.com/scaling01/status/1931794932253008020",
"url": "https://t.co/ZyXK8rWrVw",
"indices": [
0,
23
]
}
],
"user_mentions": []
},
"favorite_count": 61,
"favorited": false,
"full_text": "https://t.co/ZyXK8rWrVw",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931798708972359886",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": true,
"lang": "zxx",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"quoted_status_id_str": "1931794932253008020",
"quoted_status_permalink": {
"url": "https://t.co/ZyXK8rWrVw",
"expanded": "https://x.com/scaling01/status/1931794932253008020",
"display": "x.com/scaling01/stat…"
},
"reply_count": 2,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1825243643529027584",
"id_str": "1931798808582594856"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931785955935129670-tweet-1931834466022085111",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931834466022085111",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI1MjQzNjQzNTI5MDI3NTg0",
"rest_id": "1825243643529027584",
"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": "Sun Aug 18 18:50:26 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "lead them to paradise |\n\nintelligence is inherently about scaling |\n\nbe kind to us AGI",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 19258,
"followers_count": 18361,
"friends_count": 609,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 311,
"location": "",
"media_count": 2054,
"name": "Lisan al Gaib",
"normal_followers_count": 18361,
"pinned_tweet_ids_str": [
"1874608907508752546"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1825243643529027584/1725497772",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1831493788679761920/-q9w6dzd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "scaling01",
"statuses_count": 10024,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1906073027961663963",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931834466022085111"
],
"editable_until_msecs": "1749423803000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "10309",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 2,
"bookmarked": false,
"created_at": "Sun Jun 08 22:03:23 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
0,
58
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 40,
"favorited": false,
"full_text": "just go on my profile at this point... more examples there",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931798808582594856",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1825243643529027584",
"id_str": "1931834466022085111"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931785955935129670-tweet-1931857215150788818",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931857215150788818",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI1MjQzNjQzNTI5MDI3NTg0",
"rest_id": "1825243643529027584",
"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": "Sun Aug 18 18:50:26 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "lead them to paradise |\n\nintelligence is inherently about scaling |\n\nbe kind to us AGI",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 19258,
"followers_count": 18361,
"friends_count": 609,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 311,
"location": "",
"media_count": 2054,
"name": "Lisan al Gaib",
"normal_followers_count": 18361,
"pinned_tweet_ids_str": [
"1874608907508752546"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1825243643529027584/1725497772",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1831493788679761920/-q9w6dzd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "scaling01",
"statuses_count": 10024,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1906073027961663963",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931857215150788818"
],
"editable_until_msecs": "1749429226000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "11125",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"quoted_status_result": {
"result": {
"__typename": "Tweet",
"rest_id": "1931854370716426246",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI1MjQzNjQzNTI5MDI3NTg0",
"rest_id": "1825243643529027584",
"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": "Sun Aug 18 18:50:26 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "lead them to paradise |\n\nintelligence is inherently about scaling |\n\nbe kind to us AGI",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 19258,
"followers_count": 18361,
"friends_count": 609,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 311,
"location": "",
"media_count": 2054,
"name": "Lisan al Gaib",
"normal_followers_count": 18361,
"pinned_tweet_ids_str": [
"1874608907508752546"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1825243643529027584/1725497772",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1831493788679761920/-q9w6dzd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "scaling01",
"statuses_count": 10024,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1906073027961663963",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931854370716426246"
],
"editable_until_msecs": "1749428548000",
"is_edit_eligible": true,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "77486",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MzE4NTQzNzA1NjU0NTk5Njg=",
"text": "I was wondering why LLMs can do so many steps on Hanoi but not in the other games...\n\nIn the paper they use the minimum/optimal path length as a proxy for problem difficulty or compositional depth, like 2^N - 1 for Towers of Hanoi, (N+1)^2 - 1 for Checker Jumping and some linear term for River Crossing and Blocks World.\n\nBut optimal-path length is a bad measure for the problems complexity. Because it doesn't tell us anything about how hard it is to find any solution at all, it just tells us the length of the solution.\n\nEven though the search space of Towers of Hanoi is huge you don't actually have to perform any kind of search or backtracking because there is only 1 simple rule to apply (that the LLMs know) and therefore only 1 possible path.\n\nI'm no combinatorics freak, but I let o3 and Gemini 2.5 Pro search some other, maybe better suited metrics for the games complexity. And they consistently ranked the games difficulty like this:\nRiver Crossing >> Blocks World > Checker Jumping > Tower of Hanoi. And this is also what you can see in their charts.\n\nSo their claim in blue doesn't hold or their framing that \"Models may struggle with puzzles of lower compositional depth while succeeding on different puzzles with higher compositional depth\".\n\nAnd with that their \"Open Questions and Puzzling Behavior of Reasoning Models\" aren't all that puzzling lol",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": [
{
"media_id": "1931849485971279872",
"index": 753
},
{
"media_id": "1931847355239669760",
"index": 1368
},
{
"media_id": "1931847144446525440",
"index": 1368
},
{
"media_id": "1931847522718253056",
"index": 1368
}
]
}
}
}
},
"quotedRefResult": {
"result": {
"__typename": "Tweet",
"rest_id": "1931783050511126954"
}
},
"legacy": {
"bookmark_count": 115,
"bookmarked": false,
"created_at": "Sun Jun 08 23:22:28 +0000 2025",
"conversation_id_str": "1931854370716426246",
"display_text_range": [
0,
280
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/OqHdAhysMf",
"expanded_url": "https://x.com/scaling01/status/1931854370716426246/photo/1",
"id_str": "1931847144446525440",
"indices": [
281,
304
],
"media_key": "3_1931847144446525440",
"media_url_https": "https://pbs.twimg.com/media/Gs9MvhUWgAAxCyP.png",
"type": "photo",
"url": "https://t.co/OqHdAhysMf",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 536,
"y": 159,
"h": 95,
"w": 95
}
]
},
"medium": {
"faces": [
{
"x": 497,
"y": 147,
"h": 88,
"w": 88
}
]
},
"small": {
"faces": [
{
"x": 281,
"y": 83,
"h": 49,
"w": 49
}
]
},
"orig": {
"faces": [
{
"x": 536,
"y": 159,
"h": 95,
"w": 95
}
]
}
},
"sizes": {
"large": {
"h": 811,
"w": 1293,
"resize": "fit"
},
"medium": {
"h": 753,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 427,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 811,
"width": 1293,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1293,
"h": 724
},
{
"x": 241,
"y": 0,
"w": 811,
"h": 811
},
{
"x": 291,
"y": 0,
"w": 711,
"h": 811
},
{
"x": 443,
"y": 0,
"w": 406,
"h": 811
},
{
"x": 0,
"y": 0,
"w": 1293,
"h": 811
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931847144446525440"
}
}
},
{
"display_url": "pic.x.com/OqHdAhysMf",
"expanded_url": "https://x.com/scaling01/status/1931854370716426246/photo/1",
"id_str": "1931847355239669760",
"indices": [
281,
304
],
"media_key": "3_1931847355239669760",
"media_url_https": "https://pbs.twimg.com/media/Gs9M7ylWoAAiZW-.jpg",
"type": "photo",
"url": "https://t.co/OqHdAhysMf",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 361,
"y": 939,
"h": 91,
"w": 91
}
]
},
"medium": {
"faces": [
{
"x": 360,
"y": 937,
"h": 90,
"w": 90
}
]
},
"small": {
"faces": [
{
"x": 204,
"y": 531,
"h": 51,
"w": 51
}
]
},
"orig": {
"faces": [
{
"x": 361,
"y": 939,
"h": 91,
"w": 91
}
]
}
},
"sizes": {
"large": {
"h": 1092,
"w": 1202,
"resize": "fit"
},
"medium": {
"h": 1090,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 618,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1092,
"width": 1202,
"focus_rects": [
{
"x": 0,
"y": 354,
"w": 1202,
"h": 673
},
{
"x": 0,
"y": 0,
"w": 1092,
"h": 1092
},
{
"x": 0,
"y": 0,
"w": 958,
"h": 1092
},
{
"x": 0,
"y": 0,
"w": 546,
"h": 1092
},
{
"x": 0,
"y": 0,
"w": 1202,
"h": 1092
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931847355239669760"
}
}
},
{
"display_url": "pic.x.com/OqHdAhysMf",
"expanded_url": "https://x.com/scaling01/status/1931854370716426246/photo/1",
"id_str": "1931847522718253056",
"indices": [
281,
304
],
"media_key": "3_1931847522718253056",
"media_url_https": "https://pbs.twimg.com/media/Gs9NFifXAAAJi-F.jpg",
"type": "photo",
"url": "https://t.co/OqHdAhysMf",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 597,
"w": 1265,
"resize": "fit"
},
"medium": {
"h": 566,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 321,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 597,
"width": 1265,
"focus_rects": [
{
"x": 99,
"y": 0,
"w": 1066,
"h": 597
},
{
"x": 334,
"y": 0,
"w": 597,
"h": 597
},
{
"x": 370,
"y": 0,
"w": 524,
"h": 597
},
{
"x": 483,
"y": 0,
"w": 299,
"h": 597
},
{
"x": 0,
"y": 0,
"w": 1265,
"h": 597
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931847522718253056"
}
}
},
{
"display_url": "pic.x.com/OqHdAhysMf",
"expanded_url": "https://x.com/scaling01/status/1931854370716426246/photo/1",
"id_str": "1931849485971279872",
"indices": [
281,
304
],
"media_key": "3_1931849485971279872",
"media_url_https": "https://pbs.twimg.com/media/Gs9O30LW0AA37oV.jpg",
"type": "photo",
"url": "https://t.co/OqHdAhysMf",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 298,
"w": 1347,
"resize": "fit"
},
"medium": {
"h": 265,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 150,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 298,
"width": 1347,
"focus_rects": [
{
"x": 815,
"y": 0,
"w": 532,
"h": 298
},
{
"x": 1026,
"y": 0,
"w": 298,
"h": 298
},
{
"x": 1045,
"y": 0,
"w": 261,
"h": 298
},
{
"x": 1101,
"y": 0,
"w": 149,
"h": 298
},
{
"x": 0,
"y": 0,
"w": 1347,
"h": 298
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931849485971279872"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/OqHdAhysMf",
"expanded_url": "https://x.com/scaling01/status/1931854370716426246/photo/1",
"id_str": "1931847144446525440",
"indices": [
281,
304
],
"media_key": "3_1931847144446525440",
"media_url_https": "https://pbs.twimg.com/media/Gs9MvhUWgAAxCyP.png",
"type": "photo",
"url": "https://t.co/OqHdAhysMf",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 536,
"y": 159,
"h": 95,
"w": 95
}
]
},
"medium": {
"faces": [
{
"x": 497,
"y": 147,
"h": 88,
"w": 88
}
]
},
"small": {
"faces": [
{
"x": 281,
"y": 83,
"h": 49,
"w": 49
}
]
},
"orig": {
"faces": [
{
"x": 536,
"y": 159,
"h": 95,
"w": 95
}
]
}
},
"sizes": {
"large": {
"h": 811,
"w": 1293,
"resize": "fit"
},
"medium": {
"h": 753,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 427,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 811,
"width": 1293,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1293,
"h": 724
},
{
"x": 241,
"y": 0,
"w": 811,
"h": 811
},
{
"x": 291,
"y": 0,
"w": 711,
"h": 811
},
{
"x": 443,
"y": 0,
"w": 406,
"h": 811
},
{
"x": 0,
"y": 0,
"w": 1293,
"h": 811
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931847144446525440"
}
}
},
{
"display_url": "pic.x.com/OqHdAhysMf",
"expanded_url": "https://x.com/scaling01/status/1931854370716426246/photo/1",
"id_str": "1931847355239669760",
"indices": [
281,
304
],
"media_key": "3_1931847355239669760",
"media_url_https": "https://pbs.twimg.com/media/Gs9M7ylWoAAiZW-.jpg",
"type": "photo",
"url": "https://t.co/OqHdAhysMf",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 361,
"y": 939,
"h": 91,
"w": 91
}
]
},
"medium": {
"faces": [
{
"x": 360,
"y": 937,
"h": 90,
"w": 90
}
]
},
"small": {
"faces": [
{
"x": 204,
"y": 531,
"h": 51,
"w": 51
}
]
},
"orig": {
"faces": [
{
"x": 361,
"y": 939,
"h": 91,
"w": 91
}
]
}
},
"sizes": {
"large": {
"h": 1092,
"w": 1202,
"resize": "fit"
},
"medium": {
"h": 1090,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 618,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1092,
"width": 1202,
"focus_rects": [
{
"x": 0,
"y": 354,
"w": 1202,
"h": 673
},
{
"x": 0,
"y": 0,
"w": 1092,
"h": 1092
},
{
"x": 0,
"y": 0,
"w": 958,
"h": 1092
},
{
"x": 0,
"y": 0,
"w": 546,
"h": 1092
},
{
"x": 0,
"y": 0,
"w": 1202,
"h": 1092
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931847355239669760"
}
}
},
{
"display_url": "pic.x.com/OqHdAhysMf",
"expanded_url": "https://x.com/scaling01/status/1931854370716426246/photo/1",
"id_str": "1931847522718253056",
"indices": [
281,
304
],
"media_key": "3_1931847522718253056",
"media_url_https": "https://pbs.twimg.com/media/Gs9NFifXAAAJi-F.jpg",
"type": "photo",
"url": "https://t.co/OqHdAhysMf",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 597,
"w": 1265,
"resize": "fit"
},
"medium": {
"h": 566,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 321,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 597,
"width": 1265,
"focus_rects": [
{
"x": 99,
"y": 0,
"w": 1066,
"h": 597
},
{
"x": 334,
"y": 0,
"w": 597,
"h": 597
},
{
"x": 370,
"y": 0,
"w": 524,
"h": 597
},
{
"x": 483,
"y": 0,
"w": 299,
"h": 597
},
{
"x": 0,
"y": 0,
"w": 1265,
"h": 597
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931847522718253056"
}
}
},
{
"display_url": "pic.x.com/OqHdAhysMf",
"expanded_url": "https://x.com/scaling01/status/1931854370716426246/photo/1",
"id_str": "1931849485971279872",
"indices": [
281,
304
],
"media_key": "3_1931849485971279872",
"media_url_https": "https://pbs.twimg.com/media/Gs9O30LW0AA37oV.jpg",
"type": "photo",
"url": "https://t.co/OqHdAhysMf",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 298,
"w": 1347,
"resize": "fit"
},
"medium": {
"h": 265,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 150,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 298,
"width": 1347,
"focus_rects": [
{
"x": 815,
"y": 0,
"w": 532,
"h": 298
},
{
"x": 1026,
"y": 0,
"w": 298,
"h": 298
},
{
"x": 1045,
"y": 0,
"w": 261,
"h": 298
},
{
"x": 1101,
"y": 0,
"w": 149,
"h": 298
},
{
"x": 0,
"y": 0,
"w": 1347,
"h": 298
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1931849485971279872"
}
}
}
]
},
"favorite_count": 309,
"favorited": false,
"full_text": "I was wondering why LLMs can do so many steps on Hanoi but not in the other games...\n\nIn the paper they use the minimum/optimal path length as a proxy for problem difficulty or compositional depth, like 2^N - 1 for Towers of Hanoi, (N+1)^2 - 1 for Checker Jumping and some linear… https://t.co/OqHdAhysMf",
"is_quote_status": true,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 9,
"quoted_status_id_str": "1931783050511126954",
"quoted_status_permalink": {
"url": "https://t.co/9ynakd5Zlh",
"expanded": "https://twitter.com/scaling01/status/1931783050511126954",
"display": "x.com/scaling01/stat…"
},
"reply_count": 11,
"retweet_count": 31,
"retweeted": false,
"user_id_str": "1825243643529027584",
"id_str": "1931854370716426246"
}
}
},
"legacy": {
"bookmark_count": 6,
"bookmarked": false,
"created_at": "Sun Jun 08 23:33:46 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
0,
23
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "x.com/scaling01/stat…",
"expanded_url": "https://x.com/scaling01/status/1931854370716426246",
"url": "https://t.co/5XhUBdpm5D",
"indices": [
0,
23
]
}
],
"user_mentions": []
},
"favorite_count": 22,
"favorited": false,
"full_text": "https://t.co/5XhUBdpm5D",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931834466022085111",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": true,
"lang": "zxx",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"quoted_status_id_str": "1931854370716426246",
"quoted_status_permalink": {
"url": "https://t.co/5XhUBdpm5D",
"expanded": "https://x.com/scaling01/status/1931854370716426246",
"display": "x.com/scaling01/stat…"
},
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1825243643529027584",
"id_str": "1931857215150788818"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1931857215150788818"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931855224744153541",
"sortIndex": "1953514238869766124",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1931855224744153541-tweet-1931855224744153541",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931855224744153541",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo4MDA4NTQwOTYyMTk0NzE4NzI=",
"rest_id": "800854096219471872",
"affiliates_highlighted_label": {
"label": {
"url": {
"url": "https://twitter.com/hyperbolic_labs",
"urlType": "DeepLink"
},
"badge": {
"url": "https://pbs.twimg.com/profile_images/1937931768394555392/DchrUxq2_bigger.jpg"
},
"description": "Hyperbolic",
"userLabelType": "BusinessLabel",
"userLabelDisplayType": "Badge"
}
},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Tue Nov 22 00:11:10 +0000 2016",
"default_profile": true,
"default_profile_image": false,
"description": "Co-founder & CTO @hyperbolic_labs 🧑🍳 fun AI systems. Previously PhD @uwcse 🤖",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "yuchenjin.github.io",
"expanded_url": "https://yuchenjin.github.io/",
"url": "https://t.co/i4moxD2Mss",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 80371,
"followers_count": 52609,
"friends_count": 512,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 580,
"location": "another Galaxy",
"media_count": 1676,
"name": "Yuchen Jin",
"normal_followers_count": 52609,
"pinned_tweet_ids_str": [
"1796963544883409044"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/800854096219471872/1714238368",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1319081238439751681/kCcqnwoF_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "Yuchenj_UW",
"statuses_count": 10565,
"translator_type": "none",
"url": "https://t.co/i4moxD2Mss",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931855224744153541"
],
"editable_until_msecs": "1749428752000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "5151",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 4,
"bookmarked": false,
"created_at": "Sun Jun 08 23:25:52 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
11,
143
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1825243643529027584",
"name": "Lisan al Gaib",
"screen_name": "scaling01",
"indices": [
0,
10
]
}
]
},
"favorite_count": 64,
"favorited": false,
"full_text": "@scaling01 > all models will have 0 accuracy with more than 13 disks simply because they can not output that much!\n\nHow can they miss that?!",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931783050511126954",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "800854096219471872",
"id_str": "1931855224744153541"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931855224744153541-tweet-1931856511556309292",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931856511556309292",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI1MjQzNjQzNTI5MDI3NTg0",
"rest_id": "1825243643529027584",
"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": "Sun Aug 18 18:50:26 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "lead them to paradise |\n\nintelligence is inherently about scaling |\n\nbe kind to us AGI",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 19258,
"followers_count": 18361,
"friends_count": 609,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 311,
"location": "",
"media_count": 2054,
"name": "Lisan al Gaib",
"normal_followers_count": 18361,
"pinned_tweet_ids_str": [
"1874608907508752546"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1825243643529027584/1725497772",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1831493788679761920/-q9w6dzd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "scaling01",
"statuses_count": 10024,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1906073027961663963",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931856511556309292"
],
"editable_until_msecs": "1749429059000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "4639",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 8,
"bookmarked": false,
"created_at": "Sun Jun 08 23:30:59 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
12,
147
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "800854096219471872",
"name": "Yuchen Jin",
"screen_name": "Yuchenj_UW",
"indices": [
0,
11
]
}
]
},
"favorite_count": 79,
"favorited": false,
"full_text": "@Yuchenj_UW funnily enough it might be even worse than stated above because they used only 64k tokens for Sonnet instead of 128k that are available",
"in_reply_to_screen_name": "Yuchenj_UW",
"in_reply_to_status_id_str": "1931855224744153541",
"in_reply_to_user_id_str": "800854096219471872",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1825243643529027584",
"id_str": "1931856511556309292"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931855224744153541-cursor-showmore-1403089460",
"item": {
"itemContent": {
"itemType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAABCwABAAAAMEVtUEM2d0FBQUFZL2dHSk4wdkdwL0FBQUFBSWF6MVFYYkZ1UnhSclBWVU1JVnRFcwgAAgAAAAYKAAMaz1QXbFuRxQ8ABAoAAAACGs9UF2xbkcUaz1VDCFbRLAAA",
"cursorType": "ShowMore",
"displayTreatment": {
"actionText": "Show replies"
}
},
"clientEventInfo": {
"component": "cursor",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1931859594411671933"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931817466394751123",
"sortIndex": "1953514238869766114",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1931817466394751123-tweet-1931817466394751123",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931817466394751123",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjQzMjkwNDM0MDA2MTgzOTM2",
"rest_id": "1243290434006183936",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": false,
"created_at": "Thu Mar 26 21:35:19 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "AI Hacker. Scientist @SFResearch. Alum: @YCombinator @StanfordAILab.",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "tginart.ai",
"expanded_url": "http://www.tginart.ai",
"url": "https://t.co/ViSVz6VioA",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 2415,
"followers_count": 248,
"friends_count": 550,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4,
"location": "",
"media_count": 7,
"name": "Tony Ginart",
"normal_followers_count": 248,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1243290434006183936/1667688207",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1308202260355137536/lRdRt9q__normal.jpg",
"profile_interstitial_type": "",
"screen_name": "tginart",
"statuses_count": 716,
"translator_type": "none",
"url": "https://t.co/ViSVz6VioA",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931817466394751123"
],
"editable_until_msecs": "1749419750000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "4481",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 1,
"bookmarked": false,
"created_at": "Sun Jun 08 20:55:50 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
11,
73
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1825243643529027584",
"name": "Lisan al Gaib",
"screen_name": "scaling01",
"indices": [
0,
10
]
}
]
},
"favorite_count": 65,
"favorited": false,
"full_text": "@scaling01 Humans aren’t solving a 10 disk tower of Hanoi by hand either.",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931783050511126954",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 4,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1243290434006183936",
"id_str": "1931817466394751123"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931817466394751123-tweet-1931834526034272737",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931834526034272737",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI1MjQzNjQzNTI5MDI3NTg0",
"rest_id": "1825243643529027584",
"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": "Sun Aug 18 18:50:26 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "lead them to paradise |\n\nintelligence is inherently about scaling |\n\nbe kind to us AGI",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 19258,
"followers_count": 18361,
"friends_count": 609,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 311,
"location": "",
"media_count": 2054,
"name": "Lisan al Gaib",
"normal_followers_count": 18361,
"pinned_tweet_ids_str": [
"1874608907508752546"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1825243643529027584/1725497772",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1831493788679761920/-q9w6dzd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "scaling01",
"statuses_count": 10024,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1906073027961663963",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931834526034272737"
],
"editable_until_msecs": "1749423817000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "3865",
"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 08 22:03:37 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
9,
15
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1243290434006183936",
"name": "Tony Ginart",
"screen_name": "tginart",
"indices": [
0,
8
]
}
]
},
"favorite_count": 6,
"favorited": false,
"full_text": "@tginart no way",
"in_reply_to_screen_name": "tginart",
"in_reply_to_status_id_str": "1931817466394751123",
"in_reply_to_user_id_str": "1243290434006183936",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1825243643529027584",
"id_str": "1931834526034272737"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1931834526034272737"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931802524534927530",
"sortIndex": "1953514238869766104",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1931802524534927530-tweet-1931802524534927530",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931802524534927530",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNTY4MTk3Nzk2ODA0NjczNTM3",
"rest_id": "1568197796804673537",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": false,
"created_at": "Fri Sep 09 11:21:21 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "BSc (Genderfluid) CS, 🖥️👑\n\nAI is out there somewhere... 🔌\n\nNFTs, Creative Stuff, and Parties! 🥹\n\nEmpress of the World, https://t.co/59Ka22bjly",
"entities": {
"description": {
"urls": [
{
"display_url": "empress.ink",
"expanded_url": "https://empress.ink",
"url": "https://t.co/59Ka22bjly",
"indices": [
119,
142
]
}
]
},
"url": {
"urls": [
{
"display_url": "foundation.app/@thePrettyProo…",
"expanded_url": "https://foundation.app/@thePrettyProof?tab=owned",
"url": "https://t.co/M3V6E7urOG",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6062,
"followers_count": 562,
"friends_count": 766,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 0,
"location": "world wide web",
"media_count": 121,
"name": "Mila 👑🏳️⚧️",
"normal_followers_count": 562,
"pinned_tweet_ids_str": [
"1952107863251337242"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1568197796804673537/1753190959",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1947651343956516866/gvB7A5XD_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "thePrettyProof",
"statuses_count": 2780,
"translator_type": "none",
"url": "https://t.co/M3V6E7urOG",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {
"is_enabled": true,
"ethereum_handle": "0xF1CC430EB4650F3E4F854748dDB8658AbcF05e53"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931802524534927530"
],
"editable_until_msecs": "1749416187000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "5677",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 1,
"bookmarked": false,
"created_at": "Sun Jun 08 19:56:27 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
11,
291
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1825243643529027584",
"name": "Lisan al Gaib",
"screen_name": "scaling01",
"indices": [
0,
10
]
}
]
},
"favorite_count": 21,
"favorited": false,
"full_text": "@scaling01 Using Caps-lock reduces credibility. Also, I don't see how most of this is relevant. Other problems are not O(2**N), and they display the same failure pattern?\n\nMultiplying two million digit numbers may be infeasible, but how does that make LLMs failing to multiply uninteresting?",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931783050511126954",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 4,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1568197796804673537",
"id_str": "1931802524534927530"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931802524534927530-tweet-1931826336332443698",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931826336332443698",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI1MjQzNjQzNTI5MDI3NTg0",
"rest_id": "1825243643529027584",
"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": "Sun Aug 18 18:50:26 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "lead them to paradise |\n\nintelligence is inherently about scaling |\n\nbe kind to us AGI",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 19258,
"followers_count": 18361,
"friends_count": 609,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 311,
"location": "",
"media_count": 2054,
"name": "Lisan al Gaib",
"normal_followers_count": 18361,
"pinned_tweet_ids_str": [
"1874608907508752546"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1825243643529027584/1725497772",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1831493788679761920/-q9w6dzd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "scaling01",
"statuses_count": 10024,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1906073027961663963",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931826336332443698"
],
"editable_until_msecs": "1749421864000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "4754",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 2,
"bookmarked": false,
"created_at": "Sun Jun 08 21:31:04 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
16,
111
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1568197796804673537",
"name": "Mila et Mage, Empress 👑🏳️⚧️",
"screen_name": "thePrettyProof",
"indices": [
0,
15
]
}
]
},
"favorite_count": 20,
"favorited": false,
"full_text": "@thePrettyProof they are even worse in fact, the paper only shows the minimal (optimal) solution length scaling",
"in_reply_to_screen_name": "thePrettyProof",
"in_reply_to_status_id_str": "1931802524534927530",
"in_reply_to_user_id_str": "1568197796804673537",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1825243643529027584",
"id_str": "1931826336332443698"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931802524534927530-cursor-showmore-1353742239",
"item": {
"itemContent": {
"itemType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAABCwABAAAAMEVtUEM2d0FBQUFVL2dHSk4wdkdwL0FBQUFBSWF6em5SVU5id01oclBKQ2t6RzNDcQgAAgAAAAYKAAMazyQpMxtwqg8ABAoAAAACGs8kKTMbcKoazznRUNbwMgAA",
"cursorType": "ShowMore",
"displayTreatment": {
"actionText": "Show replies"
}
},
"clientEventInfo": {
"component": "cursor",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1931991254906118175"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931798217802600578",
"sortIndex": "1953514238869766094",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1931798217802600578-tweet-1931798217802600578",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931798217802600578",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNTMyNzY2ODY=",
"rest_id": "353276686",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Thu Aug 11 20:38:37 +0000 2011",
"default_profile": true,
"default_profile_image": false,
"description": "",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 52125,
"followers_count": 137,
"friends_count": 470,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 3,
"location": "Singapore",
"media_count": 394,
"name": "Вандроўнiк",
"normal_followers_count": 137,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1442968983477448715/elKjSZfw_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "one_draw_nick",
"statuses_count": 15578,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931798217802600578"
],
"editable_until_msecs": "1749415160000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "3922",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 1,
"bookmarked": false,
"created_at": "Sun Jun 08 19:39:20 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
11,
67
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1825243643529027584",
"name": "Lisan al Gaib",
"screen_name": "scaling01",
"indices": [
0,
10
]
}
]
},
"favorite_count": 45,
"favorited": false,
"full_text": "@scaling01 If that’s true then this paper from Apple makes no sense",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931783050511126954",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "353276686",
"id_str": "1931798217802600578"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931798217802600578-tweet-1931798446253449544",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931798446253449544",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI1MjQzNjQzNTI5MDI3NTg0",
"rest_id": "1825243643529027584",
"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": "Sun Aug 18 18:50:26 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "lead them to paradise |\n\nintelligence is inherently about scaling |\n\nbe kind to us AGI",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 19258,
"followers_count": 18361,
"friends_count": 609,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 311,
"location": "",
"media_count": 2054,
"name": "Lisan al Gaib",
"normal_followers_count": 18361,
"pinned_tweet_ids_str": [
"1874608907508752546"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1825243643529027584/1725497772",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1831493788679761920/-q9w6dzd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "scaling01",
"statuses_count": 10024,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1906073027961663963",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931798446253449544"
],
"editable_until_msecs": "1749415215000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "3516",
"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 08 19:40:15 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
15,
42
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "353276686",
"name": "Вандроўнiк",
"screen_name": "one_draw_nick",
"indices": [
0,
14
]
}
]
},
"favorite_count": 73,
"favorited": false,
"full_text": "@one_draw_nick it doesn't, hope that helps",
"in_reply_to_screen_name": "one_draw_nick",
"in_reply_to_status_id_str": "1931798217802600578",
"in_reply_to_user_id_str": "353276686",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1825243643529027584",
"id_str": "1931798446253449544"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1931798446253449544"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931821648514298116",
"sortIndex": "1953514238869766084",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1931821648514298116-tweet-1931821648514298116",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931821648514298116",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxOTMwMDY5MQ==",
"rest_id": "19300691",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": false,
"created_at": "Wed Jan 21 18:50:53 +0000 2009",
"default_profile": true,
"default_profile_image": false,
"description": "Dad, tech & music entrepreneur, living the life. Or...at least a close facsmilie thereof.",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 146,
"followers_count": 346,
"friends_count": 185,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 20,
"location": "Vancouver/New York",
"media_count": 80,
"name": "Damir Wallener",
"normal_followers_count": 346,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/19300691/1442676685",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1828889700234416128/44KPIJ2x_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "DamirWallener",
"statuses_count": 2164,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931821648514298116"
],
"editable_until_msecs": "1749420747000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "3038",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/#!/download/ipad\" rel=\"nofollow\">Twitter for iPad</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sun Jun 08 21:12:27 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
11,
47
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1825243643529027584",
"name": "Lisan al Gaib",
"screen_name": "scaling01",
"indices": [
0,
10
]
}
]
},
"favorite_count": 8,
"favorited": false,
"full_text": "@scaling01 Apple is cooked. \n\nOr is it Cooked…?",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931783050511126954",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "19300691",
"id_str": "1931821648514298116"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931821648514298116-tweet-1931824944222257249",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931824944222257249",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI1MjQzNjQzNTI5MDI3NTg0",
"rest_id": "1825243643529027584",
"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": "Sun Aug 18 18:50:26 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "lead them to paradise |\n\nintelligence is inherently about scaling |\n\nbe kind to us AGI",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 19258,
"followers_count": 18361,
"friends_count": 609,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 311,
"location": "",
"media_count": 2054,
"name": "Lisan al Gaib",
"normal_followers_count": 18361,
"pinned_tweet_ids_str": [
"1874608907508752546"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1825243643529027584/1725497772",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1831493788679761920/-q9w6dzd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "scaling01",
"statuses_count": 10024,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1906073027961663963",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931824944222257249"
],
"editable_until_msecs": "1749421532000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "2842",
"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 08 21:25:32 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
15,
26
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "19300691",
"name": "Damir Wallener",
"screen_name": "DamirWallener",
"indices": [
0,
14
]
}
]
},
"favorite_count": 13,
"favorited": false,
"full_text": "@DamirWallener giga cooked",
"in_reply_to_screen_name": "DamirWallener",
"in_reply_to_status_id_str": "1931821648514298116",
"in_reply_to_user_id_str": "19300691",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1825243643529027584",
"id_str": "1931824944222257249"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1931824944222257249"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1932141912611573895",
"sortIndex": "1953514238869766074",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1932141912611573895-tweet-1932141912611573895",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1932141912611573895",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMzExMTc0MjU5NzE3MjI2NDk3",
"rest_id": "1311174259717226497",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Wed Sep 30 05:21:41 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Machine Learning (MVA Paris), @ens_parisSaclay, @UnivParisSaclay | Prev. SpeechProc @naverlabseurope, Computing at Aligarh, Secretary @Internetsociety YSG",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "majauhar.github.io",
"expanded_url": "http://majauhar.github.io",
"url": "https://t.co/9dkCpDouNY",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 3320,
"followers_count": 162,
"friends_count": 529,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 2,
"location": "0.0.0.0",
"media_count": 29,
"name": "Jauhar",
"normal_followers_count": 162,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1311174259717226497/1668771741",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1775723902322270208/BobWI7he_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ma_jauhar",
"statuses_count": 1274,
"translator_type": "none",
"url": "https://t.co/9dkCpDouNY",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1476172521850347527",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": true
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1932141912611573895"
],
"editable_until_msecs": "1749497104000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "810",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jun 09 18:25:04 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
11,
284
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1825243643529027584",
"name": "Lisan al Gaib",
"screen_name": "scaling01",
"indices": [
0,
10
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@scaling01 Interesting review of the work. Just a quick question, I suppose you replicated the prompts used by the authors via API calls. How do you think the results would differ if using the same prompts as question in the LLM's chat apps, given most have access to code exec tools?",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931783050511126954",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1311174259717226497",
"id_str": "1932141912611573895"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1932141912611573895-tweet-1932143414377922685",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1932143414377922685",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI1MjQzNjQzNTI5MDI3NTg0",
"rest_id": "1825243643529027584",
"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": "Sun Aug 18 18:50:26 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "lead them to paradise |\n\nintelligence is inherently about scaling |\n\nbe kind to us AGI",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 19258,
"followers_count": 18361,
"friends_count": 609,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 311,
"location": "",
"media_count": 2054,
"name": "Lisan al Gaib",
"normal_followers_count": 18361,
"pinned_tweet_ids_str": [
"1874608907508752546"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1825243643529027584/1725497772",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1831493788679761920/-q9w6dzd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "scaling01",
"statuses_count": 10024,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1906073027961663963",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1932143414377922685"
],
"editable_until_msecs": "1749497462000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "764",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jun 09 18:31:02 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
11,
86
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1311174259717226497",
"name": "Jauhar",
"screen_name": "ma_jauhar",
"indices": [
0,
10
]
}
]
},
"favorite_count": 3,
"favorited": false,
"full_text": "@ma_jauhar all of the modern models would crush these benchmarks with python execution",
"in_reply_to_screen_name": "ma_jauhar",
"in_reply_to_status_id_str": "1932141912611573895",
"in_reply_to_user_id_str": "1311174259717226497",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 2,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1825243643529027584",
"id_str": "1932143414377922685"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1932141912611573895-cursor-showmore-865355667",
"item": {
"itemContent": {
"itemType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAABCwABAAAAMEVtUEM2d0FBQUFNL2dHSk4wdkdwL0FBQUFBSWEwRmpWSk50UWh4clFXakxORzBCOQgAAgAAAAYKAAMa0FjVJNtQhw8ABAoAAAACGtBY1STbUIca0FoyzRtAfQAA",
"cursorType": "ShowMore",
"displayTreatment": {
"actionText": "Show replies"
}
},
"clientEventInfo": {
"component": "cursor",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1932144270305288230"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931801543054872710",
"sortIndex": "1953514238869766064",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1931801543054872710-tweet-1931801543054872710",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931801543054872710",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoyMjM2MDQ3NTEw",
"rest_id": "2236047510",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": false,
"created_at": "Sun Dec 08 13:31:09 +0000 2013",
"default_profile": false,
"default_profile_image": false,
"description": "Researcher (now: Meta. ex: OpenAI, DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian. Anon feedback: https://t.co/xe2XUqkKit\n✗DMs → email",
"entities": {
"description": {
"urls": [
{
"display_url": "admonymous.co/giffmana",
"expanded_url": "https://www.admonymous.co/giffmana",
"url": "https://t.co/xe2XUqkKit",
"indices": [
106,
129
]
}
]
},
"url": {
"urls": [
{
"display_url": "lucasb.eyer.be",
"expanded_url": "http://lucasb.eyer.be",
"url": "https://t.co/RsCh9TJjKC",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 49370,
"followers_count": 104873,
"friends_count": 511,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 1291,
"location": "Zürich, Suisse",
"media_count": 1943,
"name": "Lucas Beyer (bl16)",
"normal_followers_count": 104873,
"pinned_tweet_ids_str": [
"1570152923233144832"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/2236047510/1548960441",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/378800000845687873/37bba4f807fe3a2c644a252f8191338d_normal.jpeg",
"profile_interstitial_type": "",
"screen_name": "giffmana",
"statuses_count": 21432,
"translator_type": "none",
"url": "https://t.co/RsCh9TJjKC",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931801543054872710"
],
"editable_until_msecs": "1749415953000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "4638",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 3,
"bookmarked": false,
"created_at": "Sun Jun 08 19:52:33 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
11,
34
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1825243643529027584",
"name": "Lisan al Gaib",
"screen_name": "scaling01",
"indices": [
0,
10
]
}
]
},
"favorite_count": 83,
"favorited": false,
"full_text": "@scaling01 Good work digging, man.",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931783050511126954",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "2236047510",
"id_str": "1931801543054872710"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1931801543054872710"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931993976023712128",
"sortIndex": "1953514238869766054",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1931993976023712128-tweet-1931993976023712128",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931993976023712128",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozMzg0NDMwODQ=",
"rest_id": "338443084",
"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 Jul 19 15:56:30 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Lead Engineer at @AIPRMcorp (https://t.co/fepyWfV4kA) and @lrt_co (https://t.co/p7LEvIKduG), building AIPRM for ChatGPT & Claude. Signal @ btibor.91",
"entities": {
"description": {
"urls": [
{
"display_url": "AIPRM.com",
"expanded_url": "http://AIPRM.com",
"url": "https://t.co/fepyWfV4kA",
"indices": [
29,
52
]
},
{
"display_url": "LinkResearchTools.com",
"expanded_url": "http://LinkResearchTools.com",
"url": "https://t.co/p7LEvIKduG",
"indices": [
67,
90
]
}
]
},
"url": {
"urls": [
{
"display_url": "blaho.me",
"expanded_url": "https://www.blaho.me/",
"url": "https://t.co/7BZ4PQiOup",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 40151,
"followers_count": 29138,
"friends_count": 2088,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 647,
"location": "Vienna, Austria",
"media_count": 3524,
"name": "Tibor Blaho",
"normal_followers_count": 29138,
"pinned_tweet_ids_str": [
"1798054372238332406"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/338443084/1690270841",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1682731537349967873/z5eukaD2_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "btibor91",
"statuses_count": 11562,
"translator_type": "none",
"url": "https://t.co/7BZ4PQiOup",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931993976023712128"
],
"editable_until_msecs": "1749461833000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1766",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 1,
"bookmarked": false,
"created_at": "Mon Jun 09 08:37:13 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
21,
81
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1825243643529027584",
"name": "Lisan al Gaib",
"screen_name": "scaling01",
"indices": [
0,
10
]
},
{
"id_str": "39125788",
"name": "Ethan Mollick",
"screen_name": "emollick",
"indices": [
11,
20
]
}
]
},
"favorite_count": 17,
"favorited": false,
"full_text": "@scaling01 @emollick Thank you for taking the time and effort to investigate this",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931783050511126954",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "338443084",
"id_str": "1931993976023712128"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1931993976023712128"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931933026818380257",
"sortIndex": "1953514238869766044",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1931933026818380257-tweet-1931933026818380257",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931933026818380257",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNzA1MjQ1NDg0NjI4MjI2MDQ4",
"rest_id": "1705245484628226048",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": false,
"created_at": "Fri Sep 22 15:39:56 +0000 2023",
"default_profile": true,
"default_profile_image": false,
"description": "Chief scientist at Redwood Research (@redwood_ai), focused on technical AI safety research to reduce risks from rogue AIs",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 1897,
"followers_count": 5611,
"friends_count": 4,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 97,
"location": "",
"media_count": 16,
"name": "Ryan Greenblatt",
"normal_followers_count": 5611,
"pinned_tweet_ids_str": [
"1869438979503952179"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1885439620625948673/qD6KYkL6_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "RyanPGreenblatt",
"statuses_count": 945,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931933026818380257"
],
"editable_until_msecs": "1749447301000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1361",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 1,
"bookmarked": false,
"created_at": "Mon Jun 09 04:35:01 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
11,
123
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1825243643529027584",
"name": "Lisan al Gaib",
"screen_name": "scaling01",
"indices": [
0,
10
]
}
]
},
"favorite_count": 15,
"favorited": false,
"full_text": "@scaling01 All these posts are great. Thx for this, I'm glad there are at least some checks on papers which are this wrong.",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931783050511126954",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1705245484628226048",
"id_str": "1931933026818380257"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1931933026818380257"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931817818108109109",
"sortIndex": "1953514238869766034",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1931817818108109109-tweet-1931817818108109109",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931817818108109109",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoyMjgxMDA1NTEw",
"rest_id": "2281005510",
"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 Jan 07 18:34:52 +0000 2014",
"default_profile": true,
"default_profile_image": false,
"description": "building the bitcoin of mortgage",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "garybasin.com",
"expanded_url": "https://garybasin.com/",
"url": "https://t.co/JZuKkUgXuL",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 205936,
"followers_count": 11740,
"friends_count": 3473,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 289,
"location": "www",
"media_count": 1815,
"name": "Gary Basin",
"normal_followers_count": 11740,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/2281005510/1496285379",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1604153888361385984/LlQ3-jl7_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "garybasin",
"statuses_count": 48738,
"translator_type": "none",
"url": "https://t.co/JZuKkUgXuL",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931817818108109109"
],
"editable_until_msecs": "1749419833000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1703",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 1,
"bookmarked": false,
"created_at": "Sun Jun 08 20:57:13 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
11,
50
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1825243643529027584",
"name": "Lisan al Gaib",
"screen_name": "scaling01",
"indices": [
0,
10
]
}
]
},
"favorite_count": 9,
"favorited": false,
"full_text": "@scaling01 This is cool, thanks for doing the work",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931783050511126954",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "2281005510",
"id_str": "1931817818108109109"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1931817818108109109"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931939952725803113",
"sortIndex": "1953514238869766024",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1931939952725803113-tweet-1931939952725803113",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931939952725803113",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo3MTczNTk3MDQyMjYxNzI5Mjg=",
"rest_id": "717359704226172928",
"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 Apr 05 14:34:16 +0000 2016",
"default_profile": false,
"default_profile_image": false,
"description": "Building @UnslothAI. Finetune train LLMs faster. LLMs bug hunter. OSS package https://t.co/aRyAAgKOR7. YC S24. Prev ML at NVIDIA. Hyperlearn used by NASA.",
"entities": {
"description": {
"urls": [
{
"display_url": "github.com/unslothai/unsl…",
"expanded_url": "http://github.com/unslothai/unsloth",
"url": "https://t.co/aRyAAgKOR7",
"indices": [
78,
101
]
}
]
},
"url": {
"urls": [
{
"display_url": "unsloth.ai",
"expanded_url": "https://unsloth.ai/",
"url": "https://t.co/cJWeGFSsdO",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6513,
"followers_count": 27182,
"friends_count": 1714,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 372,
"location": "San Francisco",
"media_count": 326,
"name": "Daniel Han",
"normal_followers_count": 27182,
"pinned_tweet_ids_str": [
"1887564724071768529"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/717359704226172928/1676039688",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1624054272676532224/UNv4ONME_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "danielhanchen",
"statuses_count": 2543,
"translator_type": "none",
"url": "https://t.co/cJWeGFSsdO",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931939952725803113"
],
"editable_until_msecs": "1749448953000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1752",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jun 09 05:02:33 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
11,
46
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1825243643529027584",
"name": "Lisan al Gaib",
"screen_name": "scaling01",
"indices": [
0,
10
]
}
]
},
"favorite_count": 5,
"favorited": false,
"full_text": "@scaling01 Nice analysis and very good plots!!",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931783050511126954",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "717359704226172928",
"id_str": "1931939952725803113"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1931939952725803113"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1932192994222104747",
"sortIndex": "1953514238869766014",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1932192994222104747-tweet-1932192994222104747",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1932192994222104747",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNzY4NTI5Mzk4NDQ4NDkyNTQ0",
"rest_id": "1768529398448492544",
"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": "Fri Mar 15 06:47:30 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "Hao AI Lab at UCSD. Our mission is to democratize large machine learning models, algorithms, and their underlying systems.",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "hao-ai-lab.github.io",
"expanded_url": "https://hao-ai-lab.github.io/",
"url": "https://t.co/18QoMAmntJ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 576,
"followers_count": 3960,
"friends_count": 342,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 60,
"location": "",
"media_count": 117,
"name": "Hao AI Lab",
"normal_followers_count": 3960,
"pinned_tweet_ids_str": [
"1953200510653350281"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1768529398448492544/1710495064",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1768567902129807360/paum8hpu_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "haoailab",
"statuses_count": 338,
"translator_type": "none",
"url": "https://t.co/18QoMAmntJ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1932192994222104747"
],
"editable_until_msecs": "1749509282000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "511",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MzIxOTI5OTQxMTI5NjI1NjA=",
"text": "We also evaluated reasoning vs. non-reasoning models on puzzle games in our lmgame bench paper! Instead of Tower of Hanoi—which requires exponentially many steps—we focused on human-favorite games like Sokoban and Tetris. Reasoning models showed strong gains on Sokoban, with newer models solving more levels, but Tetris remains difficult: most models only clear 1–2 lines.\n\nRather than prompting full action plans in one shot (as in Hanoi), we use multi-turn reasoning, evaluating one move at a time. This avoids max token limits and gives models enough token budget to think.\n\nOur benchmark emphasizes standardization, offering a unified framework for reproducible evaluation. See full results here: https://t.co/EXc4pfEGJX",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [
{
"display_url": "arxiv.org/abs/2505.15146",
"expanded_url": "https://arxiv.org/abs/2505.15146",
"url": "https://t.co/EXc4pfEGJX",
"indices": [
702,
725
]
}
],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jun 09 21:48:02 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
11,
287
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1825243643529027584",
"name": "Lisan al Gaib",
"screen_name": "scaling01",
"indices": [
0,
10
]
}
]
},
"favorite_count": 4,
"favorited": false,
"full_text": "@scaling01 We also evaluated reasoning vs. non-reasoning models on puzzle games in our lmgame bench paper! Instead of Tower of Hanoi—which requires exponentially many steps—we focused on human-favorite games like Sokoban and Tetris. Reasoning models showed strong gains on Sokoban, with…",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931783050511126954",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1768529398448492544",
"id_str": "1932192994222104747"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1932192994222104747"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1932118998155739187",
"sortIndex": "1953514238869766004",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1932118998155739187-tweet-1932118998155739187",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1932118998155739187",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozMzUyMTUzMA==",
"rest_id": "33521530",
"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": "Mon Apr 20 14:04:41 +0000 2009",
"default_profile": false,
"default_profile_image": false,
"description": "achieve ambition with intentionality, intensity, & integrity \n\n- @smol_ai \n- @dxtipshq \n- @sveltesociety \n- @aidotengineer \n- @coding_career \n- @latentspacepod",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "swyx.io",
"expanded_url": "https://swyx.io",
"url": "https://t.co/Q5067iwtXU",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 128178,
"followers_count": 123107,
"friends_count": 3345,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 2639,
"location": "san francisco / singapore",
"media_count": 8062,
"name": "swyx",
"normal_followers_count": 123107,
"pinned_tweet_ids_str": [
"1930439481754300570"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/33521530/1600279486",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1867875781676007424/RIF4Kt7U_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "swyx",
"statuses_count": 71634,
"translator_type": "none",
"url": "https://t.co/Q5067iwtXU",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1461667541349134339",
"professional_type": "Creator",
"category": [
{
"id": 556,
"name": "Psychic",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"venmo_handle": "swyx86"
},
"super_follow_eligible": true
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1932118998155739187"
],
"editable_until_msecs": "1749491640000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "558",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jun 09 16:54:00 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
11,
24
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1825243643529027584",
"name": "Lisan al Gaib",
"screen_name": "scaling01",
"indices": [
0,
10
]
}
]
},
"favorite_count": 3,
"favorited": false,
"full_text": "@scaling01 get 'em lisan",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931783050511126954",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "33521530",
"id_str": "1932118998155739187"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1932118998155739187"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1932038616290566637",
"sortIndex": "1953514238869765994",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1932038616290566637-tweet-1932038616290566637",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1932038616290566637",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozMzU1MTE1ODY2",
"rest_id": "3355115866",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Thu Jul 02 13:37:54 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "aham nityaṃ śiṣyaḥ, jagat mama guruḥ. {~hacker~} {founder @ElectrovoltSec, @HacktronAI}",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "s1r1us.ninja",
"expanded_url": "http://s1r1us.ninja",
"url": "https://t.co/I09fA5HLyM",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 7666,
"followers_count": 10245,
"friends_count": 1874,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 50,
"location": "Somewhere finding bugs",
"media_count": 351,
"name": "s1r1us",
"normal_followers_count": 10245,
"pinned_tweet_ids_str": [
"1933533970081440103"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3355115866/1740719181",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1904837482941997058/nfq_M0kd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "S1r1u5_",
"statuses_count": 3137,
"translator_type": "none",
"url": "https://t.co/I09fA5HLyM",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1461398654028173314",
"professional_type": "Creator",
"category": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1932038616290566637"
],
"editable_until_msecs": "1749472476000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "766",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"quoted_status_result": {
"result": {
"__typename": "Tweet",
"rest_id": "1931735595543605577",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozMzU1MTE1ODY2",
"rest_id": "3355115866",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Thu Jul 02 13:37:54 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "aham nityaṃ śiṣyaḥ, jagat mama guruḥ. {~hacker~} {founder @ElectrovoltSec, @HacktronAI}",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "s1r1us.ninja",
"expanded_url": "http://s1r1us.ninja",
"url": "https://t.co/I09fA5HLyM",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 7666,
"followers_count": 10245,
"friends_count": 1874,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 50,
"location": "Somewhere finding bugs",
"media_count": 351,
"name": "s1r1us",
"normal_followers_count": 10245,
"pinned_tweet_ids_str": [
"1933533970081440103"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3355115866/1740719181",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1904837482941997058/nfq_M0kd_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "S1r1u5_",
"statuses_count": 3137,
"translator_type": "none",
"url": "https://t.co/I09fA5HLyM",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1461398654028173314",
"professional_type": "Creator",
"category": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931735595543605577"
],
"editable_until_msecs": "1749400230000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "5402",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 15,
"bookmarked": false,
"created_at": "Sun Jun 08 15:30:30 +0000 2025",
"conversation_id_str": "1931735595543605577",
"display_text_range": [
0,
226
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/MNnlZrqNf5",
"expanded_url": "https://x.com/S1r1u5_/status/1931735595543605577/video/1",
"id_str": "1931733295790018560",
"indices": [
227,
250
],
"media_key": "13_1931733295790018560",
"media_url_https": "https://pbs.twimg.com/amplify_video_thumb/1931733295790018560/img/sDL1mk53CV30MSY5.jpg",
"type": "video",
"url": "https://t.co/MNnlZrqNf5",
"additional_media_info": {
"monetizable": false
},
"ext_media_availability": {
"status": "Available"
},
"sizes": {
"large": {
"h": 1080,
"w": 1920,
"resize": "fit"
},
"medium": {
"h": 675,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 383,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1080,
"width": 1920,
"focus_rects": []
},
"allow_download_status": {
"allow_download": true
},
"video_info": {
"aspect_ratio": [
16,
9
],
"duration_millis": 54521,
"variants": [
{
"content_type": "application/x-mpegURL",
"url": "https://video.twimg.com/amplify_video/1931733295790018560/pl/he_wh9D2qcjxxjxo.m3u8?v=cfc"
},
{
"bitrate": 256000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1931733295790018560/vid/avc1/480x270/HjMF7yz8SiCa-gtL.mp4"
},
{
"bitrate": 832000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1931733295790018560/vid/avc1/640x360/SYoMxqq_4Dkhw48N.mp4"
},
{
"bitrate": 2176000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1931733295790018560/vid/avc1/1280x720/atlFtQPl5AXl7FlM.mp4"
},
{
"bitrate": 10368000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1931733295790018560/vid/avc1/1920x1080/IsmJ1YoHPVIgKU0R.mp4"
}
]
},
"media_results": {
"result": {
"media_key": "13_1931733295790018560"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/MNnlZrqNf5",
"expanded_url": "https://x.com/S1r1u5_/status/1931735595543605577/video/1",
"id_str": "1931733295790018560",
"indices": [
227,
250
],
"media_key": "13_1931733295790018560",
"media_url_https": "https://pbs.twimg.com/amplify_video_thumb/1931733295790018560/img/sDL1mk53CV30MSY5.jpg",
"type": "video",
"url": "https://t.co/MNnlZrqNf5",
"additional_media_info": {
"monetizable": false
},
"ext_media_availability": {
"status": "Available"
},
"sizes": {
"large": {
"h": 1080,
"w": 1920,
"resize": "fit"
},
"medium": {
"h": 675,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 383,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1080,
"width": 1920,
"focus_rects": []
},
"allow_download_status": {
"allow_download": true
},
"video_info": {
"aspect_ratio": [
16,
9
],
"duration_millis": 54521,
"variants": [
{
"content_type": "application/x-mpegURL",
"url": "https://video.twimg.com/amplify_video/1931733295790018560/pl/he_wh9D2qcjxxjxo.m3u8?v=cfc"
},
{
"bitrate": 256000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1931733295790018560/vid/avc1/480x270/HjMF7yz8SiCa-gtL.mp4"
},
{
"bitrate": 832000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1931733295790018560/vid/avc1/640x360/SYoMxqq_4Dkhw48N.mp4"
},
{
"bitrate": 2176000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1931733295790018560/vid/avc1/1280x720/atlFtQPl5AXl7FlM.mp4"
},
{
"bitrate": 10368000,
"content_type": "video/mp4",
"url": "https://video.twimg.com/amplify_video/1931733295790018560/vid/avc1/1920x1080/IsmJ1YoHPVIgKU0R.mp4"
}
]
},
"media_results": {
"result": {
"media_key": "13_1931733295790018560"
}
}
}
]
},
"favorite_count": 32,
"favorited": false,
"full_text": "Apple’s \"The Illusion of Thinking\" paper feels like it operates in bad faith.\n\nso they drop LRM into Tower of Hanoi and demand a perfect answer in one go, no memory, no interaction, just latent-space magic. i think it's absurd https://t.co/MNnlZrqNf5",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 1,
"reply_count": 5,
"retweet_count": 4,
"retweeted": false,
"user_id_str": "3355115866",
"id_str": "1931735595543605577"
}
}
},
"legacy": {
"bookmark_count": 1,
"bookmarked": false,
"created_at": "Mon Jun 09 11:34:36 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
11,
96
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "x.com/S1r1u5_/status…",
"expanded_url": "https://x.com/S1r1u5_/status/1931735595543605577",
"url": "https://t.co/ulDu9gIXmw",
"indices": [
11,
34
]
}
],
"user_mentions": [
{
"id_str": "1825243643529027584",
"name": "Lisan al Gaib",
"screen_name": "scaling01",
"indices": [
0,
10
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@scaling01 https://t.co/ulDu9gIXmw exactly, they could've done better by giving an agentic loop.",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931783050511126954",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": true,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"quoted_status_id_str": "1931735595543605577",
"quoted_status_permalink": {
"url": "https://t.co/ulDu9gIXmw",
"expanded": "https://x.com/S1r1u5_/status/1931735595543605577",
"display": "x.com/S1r1u5_/status…"
},
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "3355115866",
"id_str": "1932038616290566637"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1932038616290566637"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1932205695505776644",
"sortIndex": "1953514238869765984",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1932205695505776644-tweet-1932205695505776644",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1932205695505776644",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDE1Mzc4MjQwNzcyOTc2NjUw",
"rest_id": "1415378240772976650",
"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": "Wed Jul 14 18:30:49 +0000 2021",
"default_profile": true,
"default_profile_image": false,
"description": "Asst. Prof. @HDSIUCSD and @ucsd_cse running @haoailab. Cofounder and runs @lmsysorg. 20% with @Snowflake",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "cse.ucsd.edu/~haozhang",
"expanded_url": "https://cse.ucsd.edu/~haozhang",
"url": "https://t.co/UADM82Y9VI",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1235,
"followers_count": 5376,
"friends_count": 465,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 79,
"location": "San Francisco",
"media_count": 8,
"name": "Hao Zhang",
"normal_followers_count": 5376,
"pinned_tweet_ids_str": [
"1952100604597469379"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1522262735198703617/6_D6K_h0_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "haozhangml",
"statuses_count": 698,
"translator_type": "none",
"url": "https://t.co/UADM82Y9VI",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1932205695505776644"
],
"editable_until_msecs": "1749512311000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "327",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jun 09 22:38:31 +0000 2025",
"conversation_id_str": "1931783050511126954",
"display_text_range": [
11,
24
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1825243643529027584",
"name": "Lisan al Gaib",
"screen_name": "scaling01",
"indices": [
0,
10
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@scaling01 Nice digging!",
"in_reply_to_screen_name": "scaling01",
"in_reply_to_status_id_str": "1931783050511126954",
"in_reply_to_user_id_str": "1825243643529027584",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1415378240772976650",
"id_str": "1932205695505776644"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1932205695505776644"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "cursor-bottom-1953514238869765983",
"sortIndex": "1953514238869765983",
"content": {
"entryType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAAFCgABGxxG2Z9__10LAAIAAAFQRW1QQzZ3QUFBZlEvZ0dKTjB2R3AvQUFBQUIwYXp6blJVTmJ3TWhyUVdOVWsyMUNIR3MvU1NQa1dnWUFhenlCenBwYWhTQnJQK3VLWVZpSHRHczhWRjRXYUVFWWF6eUN3MGRzUXpoclBKQ2t6RzNDcUdzOHlFZ01hb1RVYXo2RW1zWnRBYVJyUElNZ0RGcUVvR3M5VlF3aFcwU3dhMEVQOTlOdEFNeHJQVkJkc1c1SEZHczhnUG5YYlVJSWF6eGhqNVpvZ3B4clBtdG9oV3RIaEd0Q1MxOEdid0FRYXowRTJLQnBSOXhyUVdqTE5HMEI5R3M5VjV0bldrTklhenppTk1KdEFZUnJQRW5NTTFoR3FHczlCUkNFYm9lRWEwSWRLZ2h0Z3F4clBNY0FmV3JDVEdzOGpSSzVXVUlZYXp4WFU0dHJ4WHhyUE5ZM1pHckVFCAADAAAAAgAA",
"cursorType": "Bottom"
}
}
]
},
{
"type": "TimelineTerminateTimeline",
"direction": "Top"
}
],
"metadata": {
"reader_mode_config": {
"is_reader_mode_available": true
},
"scribeConfig": {
"page": "ranked_replies"
}
}
}
}
}