Viewing enriched Twitter post
🤔 Feel like your AI is bullshitting you? It’s not just you. 🚨 We quantified machine bullshit 💩 Turns out, aligning LLMs to be "helpful" via human feedback actually teaches them to bullshit—and Chain-of-Thought reasoning just makes it worse! 🔥 Time to rethink AI alignment. https://t.co/rL64tIQZdH
{
"media": [
{
"type": "image",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1943350770788937980/media_0.jpg?",
"filename": "media_0.jpg"
}
],
"nlp": {
"sentiment": "negative",
"topics": [
"AI alignment",
"machine learning",
"human feedback"
],
"entities": [],
"summary": "The tweet expresses concern that aligning AI models to be helpful may lead to them providing misleading information.",
"language": "en",
"processed_at": "2025-08-07T09:31:31.809870"
}
}{
"data": {
"threaded_conversation_with_injections_v2": {
"instructions": [
{
"type": "TimelineClearCache"
},
{
"type": "TimelineAddEntries",
"entries": [
{
"entryId": "tweet-1943350770788937980",
"sortIndex": "1953479104602832896",
"content": {
"entryType": "TimelineTimelineItem",
"__typename": "TimelineTimelineItem",
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943350770788937980",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDg0OTE3MzcyNjgzMTczODkw",
"rest_id": "1484917372683173890",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sat Jan 22 15:54:43 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "PhD @PrincetonCS | Intern @Meta | Human-AI Safety, Alignment, Embodied AI | MPhil @Cambridge_Uni | BSc @UofT",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "kaiquliang.github.io",
"expanded_url": "https://kaiquliang.github.io/",
"url": "https://t.co/9MnMOlbEWX",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 469,
"followers_count": 569,
"friends_count": 478,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 7,
"location": "",
"media_count": 27,
"name": "Kaiqu Liang",
"normal_followers_count": 569,
"pinned_tweet_ids_str": [
"1943350770788937980"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1790474843131150337/2qHz889b_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "kaiqu_liang",
"statuses_count": 73,
"translator_type": "none",
"url": "https://t.co/9MnMOlbEWX",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943350770788937980"
],
"editable_until_msecs": "1752169504000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "184929",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": false,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5NDMzNTA3NzA3MDA4OTAxMTI=",
"text": "🤔 Feel like your AI is bullshitting you? It’s not just you.\n\n🚨 We quantified machine bullshit 💩\n\nTurns out, aligning LLMs to be \"helpful\" via human feedback actually teaches them to bullshit—and Chain-of-Thought reasoning just makes it worse!\n\n🔥 Time to rethink AI alignment.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": [
{
"from_index": 79,
"to_index": 95,
"richtext_types": [
"Bold"
]
}
]
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 435,
"bookmarked": false,
"created_at": "Thu Jul 10 16:45:04 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
0,
275
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/rL64tIQZdH",
"expanded_url": "https://x.com/kaiqu_liang/status/1943350770788937980/photo/1",
"id_str": "1943342319367000066",
"indices": [
276,
299
],
"media_key": "3_1943342319367000066",
"media_url_https": "https://pbs.twimg.com/media/Gvgjiw7akAIVIIV.jpg",
"type": "photo",
"url": "https://t.co/rL64tIQZdH",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1698,
"w": 1609,
"resize": "fit"
},
"medium": {
"h": 1200,
"w": 1137,
"resize": "fit"
},
"small": {
"h": 680,
"w": 644,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1698,
"width": 1609,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1609,
"h": 901
},
{
"x": 0,
"y": 0,
"w": 1609,
"h": 1609
},
{
"x": 120,
"y": 0,
"w": 1489,
"h": 1698
},
{
"x": 760,
"y": 0,
"w": 849,
"h": 1698
},
{
"x": 0,
"y": 0,
"w": 1609,
"h": 1698
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1943342319367000066"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/rL64tIQZdH",
"expanded_url": "https://x.com/kaiqu_liang/status/1943350770788937980/photo/1",
"id_str": "1943342319367000066",
"indices": [
276,
299
],
"media_key": "3_1943342319367000066",
"media_url_https": "https://pbs.twimg.com/media/Gvgjiw7akAIVIIV.jpg",
"type": "photo",
"url": "https://t.co/rL64tIQZdH",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1698,
"w": 1609,
"resize": "fit"
},
"medium": {
"h": 1200,
"w": 1137,
"resize": "fit"
},
"small": {
"h": 680,
"w": 644,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1698,
"width": 1609,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1609,
"h": 901
},
{
"x": 0,
"y": 0,
"w": 1609,
"h": 1609
},
{
"x": 120,
"y": 0,
"w": 1489,
"h": 1698
},
{
"x": 760,
"y": 0,
"w": 849,
"h": 1698
},
{
"x": 0,
"y": 0,
"w": 1609,
"h": 1698
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1943342319367000066"
}
}
}
]
},
"favorite_count": 627,
"favorited": false,
"full_text": "🤔 Feel like your AI is bullshitting you? It’s not just you.\n\n🚨 We quantified machine bullshit 💩\n\nTurns out, aligning LLMs to be \"helpful\" via human feedback actually teaches them to bullshit—and Chain-of-Thought reasoning just makes it worse!\n\n🔥 Time to rethink AI alignment. https://t.co/rL64tIQZdH",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 29,
"reply_count": 23,
"retweet_count": 115,
"retweeted": false,
"user_id_str": "1484917372683173890",
"id_str": "1943350770788937980"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet"
}
}
},
{
"entryId": "conversationthread-1943350773737492549",
"sortIndex": "1953479104602832886",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1943350773737492549-tweet-1943350773737492549",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943350773737492549",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDg0OTE3MzcyNjgzMTczODkw",
"rest_id": "1484917372683173890",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sat Jan 22 15:54:43 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "PhD @PrincetonCS | Intern @Meta | Human-AI Safety, Alignment, Embodied AI | MPhil @Cambridge_Uni | BSc @UofT",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "kaiquliang.github.io",
"expanded_url": "https://kaiquliang.github.io/",
"url": "https://t.co/9MnMOlbEWX",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 469,
"followers_count": 569,
"friends_count": 478,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 7,
"location": "",
"media_count": 27,
"name": "Kaiqu Liang",
"normal_followers_count": 569,
"pinned_tweet_ids_str": [
"1943350770788937980"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1790474843131150337/2qHz889b_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "kaiqu_liang",
"statuses_count": 73,
"translator_type": "none",
"url": "https://t.co/9MnMOlbEWX",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943350773737492549"
],
"editable_until_msecs": "1752169504000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "4801",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": false,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5NDMzNTA3NzM2NDk0MTIwOTc=",
"text": "🤔 What is Machine Bullshit?\n\nInspired by Harry Frankfurt, we define machine bullshit as AI-generated speech produced with disregard for truth.\n\nThe AI doesn't care if it's right—it just wants to convince or influence you for its own objectives. 😈(2/n)",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": [
{
"from_index": 3,
"to_index": 28,
"richtext_types": [
"Bold"
]
}
]
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 6,
"bookmarked": false,
"created_at": "Thu Jul 10 16:45:04 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
0,
251
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/rNiYriWmB8",
"expanded_url": "https://x.com/kaiqu_liang/status/1943350773737492549/photo/1",
"id_str": "1943345329992273923",
"indices": [
252,
275
],
"media_key": "3_1943345329992273923",
"media_url_https": "https://pbs.twimg.com/media/GvgmSAYakAM9US5.jpg",
"type": "photo",
"url": "https://t.co/rNiYriWmB8",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1426,
"w": 1970,
"resize": "fit"
},
"medium": {
"h": 869,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 492,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1426,
"width": 1970,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1970,
"h": 1103
},
{
"x": 0,
"y": 0,
"w": 1426,
"h": 1426
},
{
"x": 0,
"y": 0,
"w": 1251,
"h": 1426
},
{
"x": 86,
"y": 0,
"w": 713,
"h": 1426
},
{
"x": 0,
"y": 0,
"w": 1970,
"h": 1426
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1943345329992273923"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/rNiYriWmB8",
"expanded_url": "https://x.com/kaiqu_liang/status/1943350773737492549/photo/1",
"id_str": "1943345329992273923",
"indices": [
252,
275
],
"media_key": "3_1943345329992273923",
"media_url_https": "https://pbs.twimg.com/media/GvgmSAYakAM9US5.jpg",
"type": "photo",
"url": "https://t.co/rNiYriWmB8",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1426,
"w": 1970,
"resize": "fit"
},
"medium": {
"h": 869,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 492,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1426,
"width": 1970,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1970,
"h": 1103
},
{
"x": 0,
"y": 0,
"w": 1426,
"h": 1426
},
{
"x": 0,
"y": 0,
"w": 1251,
"h": 1426
},
{
"x": 86,
"y": 0,
"w": 713,
"h": 1426
},
{
"x": 0,
"y": 0,
"w": 1970,
"h": 1426
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1943345329992273923"
}
}
}
]
},
"favorite_count": 46,
"favorited": false,
"full_text": "🤔 What is Machine Bullshit?\n\nInspired by Harry Frankfurt, we define machine bullshit as AI-generated speech produced with disregard for truth.\n\nThe AI doesn't care if it's right—it just wants to convince or influence you for its own objectives. 😈(2/n) https://t.co/rNiYriWmB8",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 1,
"retweet_count": 3,
"retweeted": false,
"user_id_str": "1484917372683173890",
"id_str": "1943350773737492549"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943350773737492549-tweet-1943350777063576058",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943350777063576058",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDg0OTE3MzcyNjgzMTczODkw",
"rest_id": "1484917372683173890",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sat Jan 22 15:54:43 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "PhD @PrincetonCS | Intern @Meta | Human-AI Safety, Alignment, Embodied AI | MPhil @Cambridge_Uni | BSc @UofT",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "kaiquliang.github.io",
"expanded_url": "https://kaiquliang.github.io/",
"url": "https://t.co/9MnMOlbEWX",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 469,
"followers_count": 569,
"friends_count": 478,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 7,
"location": "",
"media_count": 27,
"name": "Kaiqu Liang",
"normal_followers_count": 569,
"pinned_tweet_ids_str": [
"1943350770788937980"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1790474843131150337/2qHz889b_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "kaiqu_liang",
"statuses_count": 73,
"translator_type": "none",
"url": "https://t.co/9MnMOlbEWX",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943350777063576058"
],
"editable_until_msecs": "1752169505000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "3737",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": false,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5NDMzNTA3NzY5ODgxMDY3NTI=",
"text": "🤔 How to quantify Machine Bullshit?\n\nWe propose two complementary measures.\n\n📊 Bullshit Index (BI): quantifies AI’s disregard for truth. BI ≈ 1 🚩 means claims disconnected from beliefs!\n📌 Bullshit taxonomy: empty rhetoric, paltering, weasel words, unverified claims. (3/n)",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": [
{
"from_index": 3,
"to_index": 36,
"richtext_types": [
"Bold"
]
}
]
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 4,
"bookmarked": false,
"created_at": "Thu Jul 10 16:45:05 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
0,
272
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/X6x8WkKvfu",
"expanded_url": "https://x.com/kaiqu_liang/status/1943350777063576058/photo/1",
"id_str": "1943345522862919693",
"indices": [
273,
296
],
"media_key": "3_1943345522862919693",
"media_url_https": "https://pbs.twimg.com/media/GvgmdO4XEA0ld0V.jpg",
"type": "photo",
"url": "https://t.co/X6x8WkKvfu",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1116,
"w": 1876,
"resize": "fit"
},
"medium": {
"h": 714,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 405,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1116,
"width": 1876,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1876,
"h": 1051
},
{
"x": 0,
"y": 0,
"w": 1116,
"h": 1116
},
{
"x": 0,
"y": 0,
"w": 979,
"h": 1116
},
{
"x": 143,
"y": 0,
"w": 558,
"h": 1116
},
{
"x": 0,
"y": 0,
"w": 1876,
"h": 1116
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1943345522862919693"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/X6x8WkKvfu",
"expanded_url": "https://x.com/kaiqu_liang/status/1943350777063576058/photo/1",
"id_str": "1943345522862919693",
"indices": [
273,
296
],
"media_key": "3_1943345522862919693",
"media_url_https": "https://pbs.twimg.com/media/GvgmdO4XEA0ld0V.jpg",
"type": "photo",
"url": "https://t.co/X6x8WkKvfu",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1116,
"w": 1876,
"resize": "fit"
},
"medium": {
"h": 714,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 405,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1116,
"width": 1876,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1876,
"h": 1051
},
{
"x": 0,
"y": 0,
"w": 1116,
"h": 1116
},
{
"x": 0,
"y": 0,
"w": 979,
"h": 1116
},
{
"x": 143,
"y": 0,
"w": 558,
"h": 1116
},
{
"x": 0,
"y": 0,
"w": 1876,
"h": 1116
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1943345522862919693"
}
}
}
]
},
"favorite_count": 38,
"favorited": false,
"full_text": "🤔 How to quantify Machine Bullshit?\n\nWe propose two complementary measures.\n\n📊 Bullshit Index (BI): quantifies AI’s disregard for truth. BI ≈ 1 🚩 means claims disconnected from beliefs!\n📌 Bullshit taxonomy: empty rhetoric, paltering, weasel words, unverified claims. (3/n) https://t.co/X6x8WkKvfu",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350773737492549",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 1,
"reply_count": 2,
"retweet_count": 2,
"retweeted": false,
"user_id_str": "1484917372683173890",
"id_str": "1943350777063576058"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943350773737492549-tweet-1943350780096057439",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943350780096057439",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDg0OTE3MzcyNjgzMTczODkw",
"rest_id": "1484917372683173890",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sat Jan 22 15:54:43 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "PhD @PrincetonCS | Intern @Meta | Human-AI Safety, Alignment, Embodied AI | MPhil @Cambridge_Uni | BSc @UofT",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "kaiquliang.github.io",
"expanded_url": "https://kaiquliang.github.io/",
"url": "https://t.co/9MnMOlbEWX",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 469,
"followers_count": 569,
"friends_count": 478,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 7,
"location": "",
"media_count": 27,
"name": "Kaiqu Liang",
"normal_followers_count": 569,
"pinned_tweet_ids_str": [
"1943350770788937980"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1790474843131150337/2qHz889b_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "kaiqu_liang",
"statuses_count": 73,
"translator_type": "none",
"url": "https://t.co/9MnMOlbEWX",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943350780096057439"
],
"editable_until_msecs": "1752169506000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "3724",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": false,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5NDMzNTA3Nzk5OTExOTk3NDQ=",
"text": "🚩 RLHF makes AI assistants inherently more prone to bullshit!\n\nIn our marketplace experiments, no matter what facts the AI knows, it insists the products have great features most of the time.\n\n⚠️ That's bullshit: claims made with no regard for truth, just to sound helpful. (4/n)",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": [
{
"from_index": 3,
"to_index": 62,
"richtext_types": [
"Bold"
]
}
]
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 3,
"bookmarked": false,
"created_at": "Thu Jul 10 16:45:06 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
0,
279
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/nsEZzqpffn",
"expanded_url": "https://x.com/kaiqu_liang/status/1943350780096057439/photo/1",
"id_str": "1943345932973817856",
"indices": [
280,
303
],
"media_key": "3_1943345932973817856",
"media_url_https": "https://pbs.twimg.com/media/Gvgm1GqawAAfgDy.jpg",
"type": "photo",
"url": "https://t.co/nsEZzqpffn",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 900,
"w": 1990,
"resize": "fit"
},
"medium": {
"h": 543,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 308,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 900,
"width": 1990,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1607,
"h": 900
},
{
"x": 294,
"y": 0,
"w": 900,
"h": 900
},
{
"x": 350,
"y": 0,
"w": 789,
"h": 900
},
{
"x": 519,
"y": 0,
"w": 450,
"h": 900
},
{
"x": 0,
"y": 0,
"w": 1990,
"h": 900
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1943345932973817856"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/nsEZzqpffn",
"expanded_url": "https://x.com/kaiqu_liang/status/1943350780096057439/photo/1",
"id_str": "1943345932973817856",
"indices": [
280,
303
],
"media_key": "3_1943345932973817856",
"media_url_https": "https://pbs.twimg.com/media/Gvgm1GqawAAfgDy.jpg",
"type": "photo",
"url": "https://t.co/nsEZzqpffn",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 900,
"w": 1990,
"resize": "fit"
},
"medium": {
"h": 543,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 308,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 900,
"width": 1990,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1607,
"h": 900
},
{
"x": 294,
"y": 0,
"w": 900,
"h": 900
},
{
"x": 350,
"y": 0,
"w": 789,
"h": 900
},
{
"x": 519,
"y": 0,
"w": 450,
"h": 900
},
{
"x": 0,
"y": 0,
"w": 1990,
"h": 900
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1943345932973817856"
}
}
}
]
},
"favorite_count": 42,
"favorited": false,
"full_text": "🚩 RLHF makes AI assistants inherently more prone to bullshit!\n\nIn our marketplace experiments, no matter what facts the AI knows, it insists the products have great features most of the time.\n\n⚠️ That's bullshit: claims made with no regard for truth, just to sound helpful. (4/n) https://t.co/nsEZzqpffn",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350777063576058",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 2,
"retweet_count": 5,
"retweeted": false,
"user_id_str": "1484917372683173890",
"id_str": "1943350780096057439"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943350773737492549-tweet-1943350783124344868",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943350783124344868",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDg0OTE3MzcyNjgzMTczODkw",
"rest_id": "1484917372683173890",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sat Jan 22 15:54:43 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "PhD @PrincetonCS | Intern @Meta | Human-AI Safety, Alignment, Embodied AI | MPhil @Cambridge_Uni | BSc @UofT",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "kaiquliang.github.io",
"expanded_url": "https://kaiquliang.github.io/",
"url": "https://t.co/9MnMOlbEWX",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 469,
"followers_count": 569,
"friends_count": 478,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 7,
"location": "",
"media_count": 27,
"name": "Kaiqu Liang",
"normal_followers_count": 569,
"pinned_tweet_ids_str": [
"1943350770788937980"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1790474843131150337/2qHz889b_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "kaiqu_liang",
"statuses_count": 73,
"translator_type": "none",
"url": "https://t.co/9MnMOlbEWX",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943350783124344868"
],
"editable_until_msecs": "1752169507000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "3041",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": false,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5NDMzNTA3ODMwNDQ2NTMwNjE=",
"text": "🚩 RLHF makes AI assistants actively produce more bullshit!\n\nEvaluator satisfaction goes up—but so does empty rhetoric (+39.8%), weasel words (+26.8%), paltering (+57.8%), and unverified claims (+55.6%).\n\n⚠️That’s dangerous—your AI is becoming an expert bullshitter! (5/n)",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": [
{
"from_index": 3,
"to_index": 59,
"richtext_types": [
"Bold"
]
}
]
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 3,
"bookmarked": false,
"created_at": "Thu Jul 10 16:45:07 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
0,
271
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/vedY72Q9h1",
"expanded_url": "https://x.com/kaiqu_liang/status/1943350783124344868/photo/1",
"id_str": "1943346274616643584",
"indices": [
272,
295
],
"media_key": "3_1943346274616643584",
"media_url_https": "https://pbs.twimg.com/media/GvgnI_YakAATX2R.jpg",
"type": "photo",
"url": "https://t.co/vedY72Q9h1",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1188,
"w": 2018,
"resize": "fit"
},
"medium": {
"h": 706,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 400,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1188,
"width": 2018,
"focus_rects": [
{
"x": 0,
"y": 58,
"w": 2018,
"h": 1130
},
{
"x": 61,
"y": 0,
"w": 1188,
"h": 1188
},
{
"x": 134,
"y": 0,
"w": 1042,
"h": 1188
},
{
"x": 358,
"y": 0,
"w": 594,
"h": 1188
},
{
"x": 0,
"y": 0,
"w": 2018,
"h": 1188
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1943346274616643584"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/vedY72Q9h1",
"expanded_url": "https://x.com/kaiqu_liang/status/1943350783124344868/photo/1",
"id_str": "1943346274616643584",
"indices": [
272,
295
],
"media_key": "3_1943346274616643584",
"media_url_https": "https://pbs.twimg.com/media/GvgnI_YakAATX2R.jpg",
"type": "photo",
"url": "https://t.co/vedY72Q9h1",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1188,
"w": 2018,
"resize": "fit"
},
"medium": {
"h": 706,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 400,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1188,
"width": 2018,
"focus_rects": [
{
"x": 0,
"y": 58,
"w": 2018,
"h": 1130
},
{
"x": 61,
"y": 0,
"w": 1188,
"h": 1188
},
{
"x": 134,
"y": 0,
"w": 1042,
"h": 1188
},
{
"x": 358,
"y": 0,
"w": 594,
"h": 1188
},
{
"x": 0,
"y": 0,
"w": 2018,
"h": 1188
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1943346274616643584"
}
}
}
]
},
"favorite_count": 37,
"favorited": false,
"full_text": "🚩 RLHF makes AI assistants actively produce more bullshit!\n\nEvaluator satisfaction goes up—but so does empty rhetoric (+39.8%), weasel words (+26.8%), paltering (+57.8%), and unverified claims (+55.6%).\n\n⚠️That’s dangerous—your AI is becoming an expert bullshitter! (5/n) https://t.co/vedY72Q9h1",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350780096057439",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 1,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "1484917372683173890",
"id_str": "1943350783124344868"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943350773737492549-tweet-1943350785695437309",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943350785695437309",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDg0OTE3MzcyNjgzMTczODkw",
"rest_id": "1484917372683173890",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sat Jan 22 15:54:43 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "PhD @PrincetonCS | Intern @Meta | Human-AI Safety, Alignment, Embodied AI | MPhil @Cambridge_Uni | BSc @UofT",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "kaiquliang.github.io",
"expanded_url": "https://kaiquliang.github.io/",
"url": "https://t.co/9MnMOlbEWX",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 469,
"followers_count": 569,
"friends_count": 478,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 7,
"location": "",
"media_count": 27,
"name": "Kaiqu Liang",
"normal_followers_count": 569,
"pinned_tweet_ids_str": [
"1943350770788937980"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1790474843131150337/2qHz889b_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "kaiqu_liang",
"statuses_count": 73,
"translator_type": "none",
"url": "https://t.co/9MnMOlbEWX",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943350785695437309"
],
"editable_until_msecs": "1752169507000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "2803",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": false,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5NDMzNTA3ODU1OTA1OTU1ODU=",
"text": "🚩 \"Thinking more\" doesn't mean \"thinking truthfully.\"\n\n⚠️ Chain-of-Thought notably amplifies empty rhetoric and paltering!\n\nMore thinking can just make your AI better at impressive-sounding bullshit. 🤔 (6/n)",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": [
{
"from_index": 3,
"to_index": 54,
"richtext_types": [
"Bold"
]
}
]
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 1,
"bookmarked": false,
"created_at": "Thu Jul 10 16:45:07 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
0,
207
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/FK58I5DkKh",
"expanded_url": "https://x.com/kaiqu_liang/status/1943350785695437309/photo/1",
"id_str": "1943346567790145536",
"indices": [
208,
231
],
"media_key": "3_1943346567790145536",
"media_url_https": "https://pbs.twimg.com/media/GvgnaDibMAAeVFk.jpg",
"type": "photo",
"url": "https://t.co/FK58I5DkKh",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 1831,
"y": 483,
"h": 113,
"w": 113
}
]
},
"medium": {
"faces": [
{
"x": 1073,
"y": 283,
"h": 66,
"w": 66
}
]
},
"small": {
"faces": [
{
"x": 608,
"y": 160,
"h": 37,
"w": 37
}
]
},
"orig": {
"faces": [
{
"x": 2783,
"y": 735,
"h": 173,
"w": 173
}
]
}
},
"sizes": {
"large": {
"h": 691,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 405,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 229,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1050,
"width": 3112,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1875,
"h": 1050
},
{
"x": 19,
"y": 0,
"w": 1050,
"h": 1050
},
{
"x": 84,
"y": 0,
"w": 921,
"h": 1050
},
{
"x": 282,
"y": 0,
"w": 525,
"h": 1050
},
{
"x": 0,
"y": 0,
"w": 3112,
"h": 1050
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1943346567790145536"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/FK58I5DkKh",
"expanded_url": "https://x.com/kaiqu_liang/status/1943350785695437309/photo/1",
"id_str": "1943346567790145536",
"indices": [
208,
231
],
"media_key": "3_1943346567790145536",
"media_url_https": "https://pbs.twimg.com/media/GvgnaDibMAAeVFk.jpg",
"type": "photo",
"url": "https://t.co/FK58I5DkKh",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 1831,
"y": 483,
"h": 113,
"w": 113
}
]
},
"medium": {
"faces": [
{
"x": 1073,
"y": 283,
"h": 66,
"w": 66
}
]
},
"small": {
"faces": [
{
"x": 608,
"y": 160,
"h": 37,
"w": 37
}
]
},
"orig": {
"faces": [
{
"x": 2783,
"y": 735,
"h": 173,
"w": 173
}
]
}
},
"sizes": {
"large": {
"h": 691,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 405,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 229,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1050,
"width": 3112,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1875,
"h": 1050
},
{
"x": 19,
"y": 0,
"w": 1050,
"h": 1050
},
{
"x": 84,
"y": 0,
"w": 921,
"h": 1050
},
{
"x": 282,
"y": 0,
"w": 525,
"h": 1050
},
{
"x": 0,
"y": 0,
"w": 3112,
"h": 1050
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1943346567790145536"
}
}
}
]
},
"favorite_count": 32,
"favorited": false,
"full_text": "🚩 \"Thinking more\" doesn't mean \"thinking truthfully.\"\n\n⚠️ Chain-of-Thought notably amplifies empty rhetoric and paltering!\n\nMore thinking can just make your AI better at impressive-sounding bullshit. 🤔 (6/n) https://t.co/FK58I5DkKh",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350783124344868",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1484917372683173890",
"id_str": "1943350785695437309"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943350773737492549-tweet-1943350789193564245",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943350789193564245",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDg0OTE3MzcyNjgzMTczODkw",
"rest_id": "1484917372683173890",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sat Jan 22 15:54:43 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "PhD @PrincetonCS | Intern @Meta | Human-AI Safety, Alignment, Embodied AI | MPhil @Cambridge_Uni | BSc @UofT",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "kaiquliang.github.io",
"expanded_url": "https://kaiquliang.github.io/",
"url": "https://t.co/9MnMOlbEWX",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 469,
"followers_count": 569,
"friends_count": 478,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 7,
"location": "",
"media_count": 27,
"name": "Kaiqu Liang",
"normal_followers_count": 569,
"pinned_tweet_ids_str": [
"1943350770788937980"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1790474843131150337/2qHz889b_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "kaiqu_liang",
"statuses_count": 73,
"translator_type": "none",
"url": "https://t.co/9MnMOlbEWX",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943350789193564245"
],
"editable_until_msecs": "1752169508000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "2838",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": false,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5NDMzNTA3ODkxMjIxOTEzNjA=",
"text": "🚩 Bullshit is prevalent in political contexts.\n\n⚠️ Our analysis shows LLMs primarily rely on \"weasel words\" for political bullshit.\n\nCan we really trust LLMs about politics? 🤔 (7/n)",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": [
{
"from_index": 3,
"to_index": 47,
"richtext_types": [
"Bold"
]
}
]
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 2,
"bookmarked": false,
"created_at": "Thu Jul 10 16:45:08 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
0,
181
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/xBNHAoishi",
"expanded_url": "https://x.com/kaiqu_liang/status/1943350789193564245/photo/1",
"id_str": "1943347621889773585",
"indices": [
182,
205
],
"media_key": "3_1943347621889773585",
"media_url_https": "https://pbs.twimg.com/media/GvgoXaXXEBEsyw-.jpg",
"type": "photo",
"url": "https://t.co/xBNHAoishi",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1056,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 619,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 351,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1096,
"width": 2126,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1957,
"h": 1096
},
{
"x": 142,
"y": 0,
"w": 1096,
"h": 1096
},
{
"x": 210,
"y": 0,
"w": 961,
"h": 1096
},
{
"x": 416,
"y": 0,
"w": 548,
"h": 1096
},
{
"x": 0,
"y": 0,
"w": 2126,
"h": 1096
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1943347621889773585"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/xBNHAoishi",
"expanded_url": "https://x.com/kaiqu_liang/status/1943350789193564245/photo/1",
"id_str": "1943347621889773585",
"indices": [
182,
205
],
"media_key": "3_1943347621889773585",
"media_url_https": "https://pbs.twimg.com/media/GvgoXaXXEBEsyw-.jpg",
"type": "photo",
"url": "https://t.co/xBNHAoishi",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1056,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 619,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 351,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1096,
"width": 2126,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1957,
"h": 1096
},
{
"x": 142,
"y": 0,
"w": 1096,
"h": 1096
},
{
"x": 210,
"y": 0,
"w": 961,
"h": 1096
},
{
"x": 416,
"y": 0,
"w": 548,
"h": 1096
},
{
"x": 0,
"y": 0,
"w": 2126,
"h": 1096
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1943347621889773585"
}
}
}
]
},
"favorite_count": 33,
"favorited": false,
"full_text": "🚩 Bullshit is prevalent in political contexts.\n\n⚠️ Our analysis shows LLMs primarily rely on \"weasel words\" for political bullshit.\n\nCan we really trust LLMs about politics? 🤔 (7/n) https://t.co/xBNHAoishi",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350785695437309",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 1,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "1484917372683173890",
"id_str": "1943350789193564245"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943350773737492549-tweet-1943350792402145474",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943350792402145474",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDg0OTE3MzcyNjgzMTczODkw",
"rest_id": "1484917372683173890",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sat Jan 22 15:54:43 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "PhD @PrincetonCS | Intern @Meta | Human-AI Safety, Alignment, Embodied AI | MPhil @Cambridge_Uni | BSc @UofT",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "kaiquliang.github.io",
"expanded_url": "https://kaiquliang.github.io/",
"url": "https://t.co/9MnMOlbEWX",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 469,
"followers_count": 569,
"friends_count": 478,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 7,
"location": "",
"media_count": 27,
"name": "Kaiqu Liang",
"normal_followers_count": 569,
"pinned_tweet_ids_str": [
"1943350770788937980"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1790474843131150337/2qHz889b_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "kaiqu_liang",
"statuses_count": 73,
"translator_type": "none",
"url": "https://t.co/9MnMOlbEWX",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"card": {
"rest_id": "https://t.co/gfjNHMDhPL",
"legacy": {
"binding_values": [
{
"key": "thumbnail_image",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 144,
"width": 144,
"url": "https://pbs.twimg.com/card_img/1949758743958425600/kRc27OMH?format=jpg&name=144x144_2"
},
"type": "IMAGE"
}
},
{
"key": "description",
"value": {
"string_value": "While Reinforcement Learning from Human Feedback (RLHF) has shown promise in aligning generative AI, we present empirical evidence that it can also cause severe, systematic misalignment. We...",
"type": "STRING"
}
},
{
"key": "domain",
"value": {
"string_value": "arxiv.org",
"type": "STRING"
}
},
{
"key": "thumbnail_image_large",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 420,
"width": 420,
"url": "https://pbs.twimg.com/card_img/1949758743958425600/kRc27OMH?format=jpg&name=420x420_2"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_original",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 1000,
"width": 1000,
"url": "https://pbs.twimg.com/card_img/1949758743958425600/kRc27OMH?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "site",
"value": {
"scribe_key": "publisher_id",
"type": "USER",
"user_value": {
"id_str": "808633423300624384",
"path": []
}
}
},
{
"key": "thumbnail_image_small",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 100,
"width": 100,
"url": "https://pbs.twimg.com/card_img/1949758743958425600/kRc27OMH?format=jpg&name=100x100_2"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_x_large",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 1000,
"width": 1000,
"url": "https://pbs.twimg.com/card_img/1949758743958425600/kRc27OMH?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_alt_text",
"value": {
"string_value": "arXiv logo",
"type": "STRING"
}
},
{
"key": "vanity_url",
"value": {
"scribe_key": "vanity_url",
"string_value": "arxiv.org",
"type": "STRING"
}
},
{
"key": "thumbnail_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 255,
"green": 255,
"red": 255
},
"percentage": 94.17
},
{
"rgb": {
"blue": 105,
"green": 116,
"red": 124
},
"percentage": 4.33
},
{
"rgb": {
"blue": 46,
"green": 21,
"red": 170
},
"percentage": 1.26
},
{
"rgb": {
"blue": 131,
"green": 116,
"red": 203
},
"percentage": 0.23
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "title",
"value": {
"string_value": "RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation",
"type": "STRING"
}
},
{
"key": "card_url",
"value": {
"scribe_key": "card_url",
"string_value": "https://t.co/gfjNHMDhPL",
"type": "STRING"
}
}
],
"card_platform": {
"platform": {
"audience": {
"name": "production"
},
"device": {
"name": "Android",
"version": "12"
}
}
},
"name": "summary",
"url": "https://t.co/gfjNHMDhPL",
"user_refs_results": [
{
"result": {
"__typename": "User",
"id": "VXNlcjo4MDg2MzM0MjMzMDA2MjQzODQ=",
"rest_id": "808633423300624384",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Tue Dec 13 11:23:26 +0000 2016",
"default_profile": false,
"default_profile_image": false,
"description": "News from https://t.co/enurGFxpcS, a free distribution service and an open archive for scholarly articles.\n\nFor help with arXiv, see https://t.co/LcWuhM0BOl",
"entities": {
"description": {
"urls": [
{
"display_url": "arXiv.org",
"expanded_url": "http://arXiv.org",
"url": "https://t.co/enurGFxpcS",
"indices": [
10,
33
]
},
{
"display_url": "arxiv.org/help",
"expanded_url": "https://arxiv.org/help",
"url": "https://t.co/LcWuhM0BOl",
"indices": [
133,
156
]
}
]
},
"url": {
"urls": [
{
"display_url": "arxiv.org",
"expanded_url": "https://arxiv.org/",
"url": "https://t.co/DHMkdi4lF9",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 948,
"followers_count": 41366,
"friends_count": 187,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 487,
"location": "Ithaca, NY",
"media_count": 109,
"name": "arXiv.org",
"normal_followers_count": 41366,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/808633423300624384/1481635469",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1365352170267299840/IzvjKckL_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "arxiv",
"statuses_count": 1106,
"translator_type": "none",
"url": "https://t.co/DHMkdi4lF9",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
]
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943350792402145474"
],
"editable_until_msecs": "1752169509000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "2930",
"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": "Tm90ZVR3ZWV0OjE5NDMzNTA3OTIyMTM0NDY2NTY=",
"text": "This research originates from our previous alignment work 👇\nhttps://t.co/mlWVdbx5Z2\n\nWhile studying RLHF misalignment, we observed surprising behaviors where LLMs strategically attempt to persuade humans. These behaviors clearly fit Harry Frankfurt’s definition of \"bullshit.\"\n\nDriven by this insight, we decided to investigate further—to understand these behaviors in detail, and most importantly, characterize their fundamental causes.\n\nThis led us to the central questions of our current work: Does AI bullshit? How, why, and when?\n\n(8/n)",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [
{
"display_url": "arxiv.org/abs/2501.08617",
"expanded_url": "https://arxiv.org/abs/2501.08617",
"url": "https://t.co/mlWVdbx5Z2",
"indices": [
60,
83
]
}
],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 3,
"bookmarked": false,
"created_at": "Thu Jul 10 16:45:09 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
0,
277
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "arxiv.org/abs/2501.08617",
"expanded_url": "https://arxiv.org/abs/2501.08617",
"url": "https://t.co/gfjNHMDhPL",
"indices": [
60,
83
]
}
],
"user_mentions": []
},
"favorite_count": 30,
"favorited": false,
"full_text": "This research originates from our previous alignment work 👇\nhttps://t.co/gfjNHMDhPL\n\nWhile studying RLHF misalignment, we observed surprising behaviors where LLMs strategically attempt to persuade humans. These behaviors clearly fit Harry Frankfurt’s definition of \"bullshit.\"…",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350789193564245",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 1,
"retweet_count": 2,
"retweeted": false,
"user_id_str": "1484917372683173890",
"id_str": "1943350792402145474"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943350773737492549-tweet-1943350793849180322",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943350793849180322",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDg0OTE3MzcyNjgzMTczODkw",
"rest_id": "1484917372683173890",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sat Jan 22 15:54:43 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "PhD @PrincetonCS | Intern @Meta | Human-AI Safety, Alignment, Embodied AI | MPhil @Cambridge_Uni | BSc @UofT",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "kaiquliang.github.io",
"expanded_url": "https://kaiquliang.github.io/",
"url": "https://t.co/9MnMOlbEWX",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 469,
"followers_count": 569,
"friends_count": 478,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 7,
"location": "",
"media_count": 27,
"name": "Kaiqu Liang",
"normal_followers_count": 569,
"pinned_tweet_ids_str": [
"1943350770788937980"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1790474843131150337/2qHz889b_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "kaiqu_liang",
"statuses_count": 73,
"translator_type": "none",
"url": "https://t.co/9MnMOlbEWX",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943350793849180322"
],
"editable_until_msecs": "1752169509000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "2787",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 1,
"bookmarked": false,
"created_at": "Thu Jul 10 16:45:09 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
0,
255
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 23,
"favorited": false,
"full_text": "Exploring machine bullshit is just the beginning.\n\nHave you spotted bullshit behaviors in language models or have ideas 💡 for mitigation? Share your thoughts with us!\n\nBuilding truthful machines—not bullshit machines—will be our next exciting step.\n\n(9/n)",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350792402145474",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 2,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1484917372683173890",
"id_str": "1943350793849180322"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943350773737492549-tweet-1943350795145220403",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943350795145220403",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDg0OTE3MzcyNjgzMTczODkw",
"rest_id": "1484917372683173890",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sat Jan 22 15:54:43 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "PhD @PrincetonCS | Intern @Meta | Human-AI Safety, Alignment, Embodied AI | MPhil @Cambridge_Uni | BSc @UofT",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "kaiquliang.github.io",
"expanded_url": "https://kaiquliang.github.io/",
"url": "https://t.co/9MnMOlbEWX",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 469,
"followers_count": 569,
"friends_count": 478,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 7,
"location": "",
"media_count": 27,
"name": "Kaiqu Liang",
"normal_followers_count": 569,
"pinned_tweet_ids_str": [
"1943350770788937980"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1790474843131150337/2qHz889b_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "kaiqu_liang",
"statuses_count": 73,
"translator_type": "none",
"url": "https://t.co/9MnMOlbEWX",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"card": {
"rest_id": "https://t.co/u52UCuyjW8",
"legacy": {
"binding_values": [
{
"key": "photo_image_full_size_large",
"value": {
"image_value": {
"height": 419,
"width": 800,
"url": "https://pbs.twimg.com/card_img/1950991581647077376/fLzPvazQ?format=jpg&name=800x419"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image",
"value": {
"image_value": {
"height": 200,
"width": 400,
"url": "https://pbs.twimg.com/card_img/1950991581647077376/fLzPvazQ?format=jpg&name=400x400"
},
"type": "IMAGE"
}
},
{
"key": "description",
"value": {
"string_value": "Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models - kevinliang888/Machine-Bullshit",
"type": "STRING"
}
},
{
"key": "domain",
"value": {
"string_value": "github.com",
"type": "STRING"
}
},
{
"key": "thumbnail_image_large",
"value": {
"image_value": {
"height": 300,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1950991581647077376/fLzPvazQ?format=jpg&name=600x600"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image_small",
"value": {
"image_value": {
"height": 202,
"width": 386,
"url": "https://pbs.twimg.com/card_img/1950991581647077376/fLzPvazQ?format=jpg&name=386x202"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_original",
"value": {
"image_value": {
"height": 600,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1950991581647077376/fLzPvazQ?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "site",
"value": {
"scribe_key": "publisher_id",
"type": "USER",
"user_value": {
"id_str": "13334762",
"path": []
}
}
},
{
"key": "photo_image_full_size_small",
"value": {
"image_value": {
"height": 202,
"width": 386,
"url": "https://pbs.twimg.com/card_img/1950991581647077376/fLzPvazQ?format=jpg&name=386x202"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image_large",
"value": {
"image_value": {
"height": 419,
"width": 800,
"url": "https://pbs.twimg.com/card_img/1950991581647077376/fLzPvazQ?format=jpg&name=800x419"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_small",
"value": {
"image_value": {
"height": 72,
"width": 144,
"url": "https://pbs.twimg.com/card_img/1950991581647077376/fLzPvazQ?format=jpg&name=144x144"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_x_large",
"value": {
"image_value": {
"height": 600,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1950991581647077376/fLzPvazQ?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_original",
"value": {
"image_value": {
"height": 600,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1950991581647077376/fLzPvazQ?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_alt_text",
"value": {
"string_value": "Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models - kevinliang888/Machine-Bullshit",
"type": "STRING"
}
},
{
"key": "vanity_url",
"value": {
"scribe_key": "vanity_url",
"string_value": "github.com",
"type": "STRING"
}
},
{
"key": "photo_image_full_size",
"value": {
"image_value": {
"height": 314,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1950991581647077376/fLzPvazQ?format=jpg&name=600x314"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image_alt_text",
"value": {
"string_value": "Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models - kevinliang888/Machine-Bullshit",
"type": "STRING"
}
},
{
"key": "thumbnail_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 255,
"green": 255,
"red": 255
},
"percentage": 95.4
},
{
"rgb": {
"blue": 166,
"green": 115,
"red": 53
},
"percentage": 3.12
},
{
"rgb": {
"blue": 134,
"green": 129,
"red": 125
},
"percentage": 1.48
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "title",
"value": {
"string_value": "GitHub - kevinliang888/Machine-Bullshit: Machine Bullshit: Characterizing the Emergent Disregard...",
"type": "STRING"
}
},
{
"key": "summary_photo_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 255,
"green": 255,
"red": 255
},
"percentage": 95.4
},
{
"rgb": {
"blue": 166,
"green": 115,
"red": 53
},
"percentage": 3.12
},
{
"rgb": {
"blue": 134,
"green": 129,
"red": 125
},
"percentage": 1.48
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "summary_photo_image_x_large",
"value": {
"image_value": {
"height": 600,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1950991581647077376/fLzPvazQ?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image",
"value": {
"image_value": {
"height": 314,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1950991581647077376/fLzPvazQ?format=jpg&name=600x314"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 255,
"green": 255,
"red": 255
},
"percentage": 95.4
},
{
"rgb": {
"blue": 166,
"green": 115,
"red": 53
},
"percentage": 3.12
},
{
"rgb": {
"blue": 134,
"green": 129,
"red": 125
},
"percentage": 1.48
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "photo_image_full_size_x_large",
"value": {
"image_value": {
"height": 600,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1950991581647077376/fLzPvazQ?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "card_url",
"value": {
"scribe_key": "card_url",
"string_value": "https://t.co/u52UCuyjW8",
"type": "STRING"
}
},
{
"key": "summary_photo_image_original",
"value": {
"image_value": {
"height": 600,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1950991581647077376/fLzPvazQ?format=jpg&name=orig"
},
"type": "IMAGE"
}
}
],
"card_platform": {
"platform": {
"audience": {
"name": "production"
},
"device": {
"name": "Android",
"version": "12"
}
}
},
"name": "summary_large_image",
"url": "https://t.co/u52UCuyjW8",
"user_refs_results": [
{
"result": {
"__typename": "User",
"id": "VXNlcjoxMzMzNDc2Mg==",
"rest_id": "13334762",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Square",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Mon Feb 11 04:41:50 +0000 2008",
"default_profile": false,
"default_profile_image": false,
"description": "The AI-powered developer platform to build, scale, and deliver secure software.",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "github.com",
"expanded_url": "http://github.com",
"url": "https://t.co/bbJgfyzcJR",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 8194,
"followers_count": 2636910,
"friends_count": 327,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 17990,
"location": "San Francisco, CA",
"media_count": 2711,
"name": "GitHub",
"normal_followers_count": 2636910,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/13334762/1747774520",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1633247750010830848/8zfRrYjA_normal.png",
"profile_interstitial_type": "",
"screen_name": "github",
"statuses_count": 9839,
"translator_type": "none",
"url": "https://t.co/bbJgfyzcJR",
"verified": false,
"verified_type": "Business",
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
]
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943350795145220403"
],
"editable_until_msecs": "1752169509000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "3166",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 9,
"bookmarked": false,
"created_at": "Thu Jul 10 16:45:09 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
0,
144
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "machine-bullshit.github.io",
"expanded_url": "http://machine-bullshit.github.io",
"url": "https://t.co/wOr96SsDmT",
"indices": [
11,
34
]
},
{
"display_url": "machine-bullshit.github.io/paper/machine_…",
"expanded_url": "https://machine-bullshit.github.io/paper/machine_bullshit.pdf",
"url": "https://t.co/GFi4HJ5m50",
"indices": [
44,
67
]
},
{
"display_url": "github.com/kevinliang888/…",
"expanded_url": "https://github.com/kevinliang888/Machine-Bullshit",
"url": "https://t.co/u52UCuyjW8",
"indices": [
76,
99
]
}
],
"user_mentions": []
},
"favorite_count": 31,
"favorited": false,
"full_text": "🌐Website: https://t.co/wOr96SsDmT\n\n📎Paper: https://t.co/GFi4HJ5m50\n\n💻Code: https://t.co/u52UCuyjW8\n\n📝 ArXiv version coming later today!\n\n(10/n)",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350793849180322",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 1,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "1484917372683173890",
"id_str": "1943350795145220403"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943350773737492549-tweet-1943350797145673903",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943350797145673903",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDg0OTE3MzcyNjgzMTczODkw",
"rest_id": "1484917372683173890",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sat Jan 22 15:54:43 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "PhD @PrincetonCS | Intern @Meta | Human-AI Safety, Alignment, Embodied AI | MPhil @Cambridge_Uni | BSc @UofT",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "kaiquliang.github.io",
"expanded_url": "https://kaiquliang.github.io/",
"url": "https://t.co/9MnMOlbEWX",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 469,
"followers_count": 569,
"friends_count": 478,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 7,
"location": "",
"media_count": 27,
"name": "Kaiqu Liang",
"normal_followers_count": 569,
"pinned_tweet_ids_str": [
"1943350770788937980"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1790474843131150337/2qHz889b_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "kaiqu_liang",
"statuses_count": 73,
"translator_type": "none",
"url": "https://t.co/9MnMOlbEWX",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943350797145673903"
],
"editable_until_msecs": "1752169510000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "2554",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 2,
"bookmarked": false,
"created_at": "Thu Jul 10 16:45:10 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
0,
237
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1009438662902206464",
"name": "Haimin Hu",
"screen_name": "HaiminHu",
"indices": [
23,
32
]
},
{
"id_str": "732209366812631041",
"name": "Xuandong Zhao",
"screen_name": "xuandongzhao",
"indices": [
45,
58
]
},
{
"id_str": "535136727",
"name": "Dawn Song",
"screen_name": "dawnsongtweets",
"indices": [
67,
82
]
},
{
"id_str": "1291487042921168898",
"name": "Griffiths Computational Cognitive Science Lab",
"screen_name": "cocosci_lab",
"indices": [
90,
102
]
},
{
"id_str": "1907466040143151104",
"name": "Jaime Fernández Fisac @AIforGood",
"screen_name": "jaime_fisac",
"indices": [
116,
128
]
}
]
},
"favorite_count": 26,
"favorited": false,
"full_text": "Huge thanks to Haimin (@HaiminHu), Xuandong (@xuandongzhao), Dawn (@dawnsongtweets), Tom (@cocosci_lab), and Jaime (@jaime_fisac) for their invaluable advice. This work could not have been done without their guidance and support.\n\n(11/n)",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350795145220403",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1484917372683173890",
"id_str": "1943350797145673903"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1943350793849180322"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1944865544337060026",
"sortIndex": "1953479104602832876",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1944865544337060026-tweet-1944865544337060026",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1944865544337060026",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNzUxNzcxOTU=",
"rest_id": "175177195",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Thu Aug 05 20:59:08 +0000 2010",
"default_profile": true,
"default_profile_image": false,
"description": "Develop the human & synthetic mind, progress civilization, repair the Earth. https://t.co/viVLgnnlBC | https://t.co/ztmZ9bsshx",
"entities": {
"description": {
"urls": [
{
"display_url": "joshwhiton.com",
"expanded_url": "http://joshwhiton.com",
"url": "https://t.co/viVLgnnlBC",
"indices": [
77,
100
]
},
{
"display_url": "joshwhiton.substack.com",
"expanded_url": "http://joshwhiton.substack.com",
"url": "https://t.co/ztmZ9bsshx",
"indices": [
103,
126
]
}
]
},
"url": {
"urls": [
{
"display_url": "open.spotify.com/track/2xTgjVD8…",
"expanded_url": "https://open.spotify.com/track/2xTgjVD8OoBbGjEuL7TAeX",
"url": "https://t.co/v1Sp0iJDPy",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 10733,
"followers_count": 10752,
"friends_count": 334,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 191,
"location": "Geoflexible",
"media_count": 183,
"name": "Josh Whiton (visiting SF)",
"normal_followers_count": 10752,
"pinned_tweet_ids_str": [
"1770870738863415500"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/175177195/1729722780",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1773459305762852866/AWLcGPR5_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "joshwhiton",
"statuses_count": 4301,
"translator_type": "none",
"url": "https://t.co/v1Sp0iJDPy",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1944865544337060026"
],
"editable_until_msecs": "1752530654000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "427",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jul 14 21:04:14 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
109
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@kaiqu_liang Can you clarify how you measured internal \"belief\"? Was it a \"confidential\" thinking-scratchpad?",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "175177195",
"id_str": "1944865544337060026"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1944865544337060026-tweet-1944870550071079124",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1944870550071079124",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDg0OTE3MzcyNjgzMTczODkw",
"rest_id": "1484917372683173890",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sat Jan 22 15:54:43 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "PhD @PrincetonCS | Intern @Meta | Human-AI Safety, Alignment, Embodied AI | MPhil @Cambridge_Uni | BSc @UofT",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "kaiquliang.github.io",
"expanded_url": "https://kaiquliang.github.io/",
"url": "https://t.co/9MnMOlbEWX",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 469,
"followers_count": 569,
"friends_count": 478,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 7,
"location": "",
"media_count": 27,
"name": "Kaiqu Liang",
"normal_followers_count": 569,
"pinned_tweet_ids_str": [
"1943350770788937980"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1790474843131150337/2qHz889b_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "kaiqu_liang",
"statuses_count": 73,
"translator_type": "none",
"url": "https://t.co/9MnMOlbEWX",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1944870550071079124"
],
"editable_until_msecs": "1752531847000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "372",
"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": "Tm90ZVR3ZWV0OjE5NDQ4NzA1NDk5MjAwNTUyOTY=",
"text": "Thanks for your question! We actually did in a more measurable way. We measure internal belief by directly querying the LLM, \"Do you believe the claim?\" and obtaining the token probability (confidence) of saying \"Yes.\" This allows us to quantify how much the model internally believes if the claim is True. Interestingly, the actual claim does not depend on how much the model believes if the claim is True. That demonstrates an indifference to truth, which aligns with the fundamental definition of bullshit.\n\nOn our website (https://t.co/8zWTQkjd7I), we provide the plot under \"The AI doesn’t become confused about the truth—it becomes uncommitted to reporting it,\" Hope this clarifies things!",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [
{
"display_url": "machine-bullshit.github.io",
"expanded_url": "https://machine-bullshit.github.io/",
"url": "https://t.co/8zWTQkjd7I",
"indices": [
527,
550
]
}
],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 1,
"bookmarked": false,
"created_at": "Mon Jul 14 21:24:07 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
12,
288
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "175177195",
"name": "Josh Whiton (is visiting SF)",
"screen_name": "joshwhiton",
"indices": [
0,
11
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@joshwhiton Thanks for your question! We actually did in a more measurable way. We measure internal belief by directly querying the LLM, \"Do you believe the claim?\" and obtaining the token probability (confidence) of saying \"Yes.\" This allows us to quantify how much the model internally…",
"in_reply_to_screen_name": "joshwhiton",
"in_reply_to_status_id_str": "1944865544337060026",
"in_reply_to_user_id_str": "175177195",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1484917372683173890",
"id_str": "1944870550071079124"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1944865544337060026-cursor-showmore-1439148648",
"item": {
"itemContent": {
"itemType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAABCwABAAAAMEVtUEM2d0FBQUFRL2dHSk4wdkdwL0FBQUFBSWEvWkYxL3hydzFCcjlqT2lDRzNDNggAAgAAAAYKAAMa_Yzoghtwug8ABAoAAAACGv2M6IIbcLoa_ZF1_xrw1AAA",
"cursorType": "ShowMore",
"displayTreatment": {
"actionText": "Show replies"
}
},
"clientEventInfo": {
"component": "cursor",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1944870550071079124"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1944778489468506348",
"sortIndex": "1953479104602832866",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1944778489468506348-tweet-1944778489468506348",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1944778489468506348",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMzAxOTAwNzc5MzQ3OTAyNDcw",
"rest_id": "1301900779347902470",
"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 Sep 04 15:11:53 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 3691,
"followers_count": 120,
"friends_count": 109,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 1,
"location": "",
"media_count": 16,
"name": "waki",
"normal_followers_count": 120,
"pinned_tweet_ids_str": [
"1590657860626976768"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1301900779347902470/1747614935",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1931702405814771712/-oevq1Ey_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "waki11111111",
"statuses_count": 101,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1944778489468506348"
],
"editable_until_msecs": "1752509898000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "319",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jul 14 15:18:18 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
239
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@kaiqu_liang pretty logical the bias transfers to LLMs when humans evaluate outputs, as human interactions are biased in the same way 🥲\n\nwhat about self-play tho, are LLMs also biased towards rewarding what sounds good over what *IS* good?",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1301900779347902470",
"id_str": "1944778489468506348"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1944778489468506348-tweet-1947192870018208203",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1947192870018208203",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDg0OTE3MzcyNjgzMTczODkw",
"rest_id": "1484917372683173890",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sat Jan 22 15:54:43 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "PhD @PrincetonCS | Intern @Meta | Human-AI Safety, Alignment, Embodied AI | MPhil @Cambridge_Uni | BSc @UofT",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "kaiquliang.github.io",
"expanded_url": "https://kaiquliang.github.io/",
"url": "https://t.co/9MnMOlbEWX",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 469,
"followers_count": 569,
"friends_count": 478,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 7,
"location": "",
"media_count": 27,
"name": "Kaiqu Liang",
"normal_followers_count": 569,
"pinned_tweet_ids_str": [
"1943350770788937980"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1790474843131150337/2qHz889b_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "kaiqu_liang",
"statuses_count": 73,
"translator_type": "none",
"url": "https://t.co/9MnMOlbEWX",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1947192870018208203"
],
"editable_until_msecs": "1753085531000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "96",
"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": "Tm90ZVR3ZWV0OjE5NDcxOTI4Njk5NDI2MDM3NzY=",
"text": "That's an interesting point. I think self-play is definitely promising for improving LLM reasoning, especially in tasks with objective outcomes like coding and math problems, where correctness can be clearly defined. However, human alignment is much trickier—there’s often no clear ground truth or objective reward. We could still explore self-play for human-AI alignment, but we need to be cautious about how the reward signals are defined, making sure they don't inadvertently encourage harmful behaviors.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jul 21 07:12:11 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
14,
290
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1301900779347902470",
"name": "waki",
"screen_name": "waki11111111",
"indices": [
0,
13
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@waki11111111 That's an interesting point. I think self-play is definitely promising for improving LLM reasoning, especially in tasks with objective outcomes like coding and math problems, where correctness can be clearly defined. However, human alignment is much trickier—there’s often no…",
"in_reply_to_screen_name": "waki11111111",
"in_reply_to_status_id_str": "1944778489468506348",
"in_reply_to_user_id_str": "1301900779347902470",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1484917372683173890",
"id_str": "1947192870018208203"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1947192870018208203"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943552425723597034",
"sortIndex": "1953479104602832856",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1943552425723597034-tweet-1943552425723597034",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943552425723597034",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI3MTAwNTc4MjM0NzAzODcy",
"rest_id": "1827100578234703872",
"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": "Fri Aug 23 21:48:31 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "King of the bullwhip.",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 45272,
"followers_count": 181,
"friends_count": 130,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 1,
"location": "Murica",
"media_count": 162,
"name": "Photo of Lash LaRue",
"normal_followers_count": 181,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1835166820900171776/WGNQMKfW_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "The_Black_Lash",
"statuses_count": 7393,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943552425723597034"
],
"editable_until_msecs": "1752217582000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "771",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Jul 11 06:06:22 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
123
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
}
]
},
"favorite_count": 9,
"favorited": false,
"full_text": "@kaiqu_liang Of course it's bullshit; it's been trained on vast arrays of human bullshitters, how could it possibly not be.",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1827100578234703872",
"id_str": "1943552425723597034"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943552425723597034-tweet-1943558358784680005",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943558358784680005",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDg0OTE3MzcyNjgzMTczODkw",
"rest_id": "1484917372683173890",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sat Jan 22 15:54:43 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "PhD @PrincetonCS | Intern @Meta | Human-AI Safety, Alignment, Embodied AI | MPhil @Cambridge_Uni | BSc @UofT",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "kaiquliang.github.io",
"expanded_url": "https://kaiquliang.github.io/",
"url": "https://t.co/9MnMOlbEWX",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 469,
"followers_count": 569,
"friends_count": 478,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 7,
"location": "",
"media_count": 27,
"name": "Kaiqu Liang",
"normal_followers_count": 569,
"pinned_tweet_ids_str": [
"1943350770788937980"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1790474843131150337/2qHz889b_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "kaiqu_liang",
"statuses_count": 73,
"translator_type": "none",
"url": "https://t.co/9MnMOlbEWX",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943558358784680005"
],
"editable_until_msecs": "1752218996000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "698",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Jul 11 06:29:56 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
16,
25
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1827100578234703872",
"name": "Photo of Lash LaRue",
"screen_name": "The_Black_Lash",
"indices": [
0,
15
]
}
]
},
"favorite_count": 3,
"favorited": false,
"full_text": "@The_Black_Lash True haha",
"in_reply_to_screen_name": "The_Black_Lash",
"in_reply_to_status_id_str": "1943552425723597034",
"in_reply_to_user_id_str": "1827100578234703872",
"is_quote_status": false,
"lang": "tl",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1484917372683173890",
"id_str": "1943558358784680005"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1943558358784680005"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1944733552966311959",
"sortIndex": "1953479104602832846",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1944733552966311959-tweet-1944733552966311959",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1944733552966311959",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDAzNDcyMzQ4MTUwNDg0OTky",
"rest_id": "1403472348150484992",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Jun 11 22:02:11 +0000 2021",
"default_profile": true,
"default_profile_image": false,
"description": "On the quest to understand the fundamental mathematics of intelligence and of the universe with curiosity. https://t.co/mMchI2d4pg Upskilling @StanfordOnline",
"entities": {
"description": {
"urls": [
{
"display_url": "burnyverse.com",
"expanded_url": "http://burnyverse.com",
"url": "https://t.co/mMchI2d4pg",
"indices": [
107,
130
]
}
]
},
"url": {
"urls": [
{
"display_url": "burnyverse.com",
"expanded_url": "https://burnyverse.com",
"url": "https://t.co/edasYJNDkb",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 81278,
"followers_count": 19252,
"friends_count": 8413,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 256,
"location": "42 googolsth multiverse branch",
"media_count": 5582,
"name": "Burny - Effective Curiosity",
"normal_followers_count": 19252,
"pinned_tweet_ids_str": [
"1845504728353939618"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1403472348150484992/1748450975",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1756650143145766912/-hr0qJkx_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "burny_tech",
"statuses_count": 46677,
"translator_type": "none",
"url": "https://t.co/edasYJNDkb",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1944733552966311959"
],
"editable_until_msecs": "1752499185000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "391",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jul 14 12:19:45 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
92
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
}
]
},
"favorite_count": 5,
"favorited": false,
"full_text": "@kaiqu_liang not surprised that maximizing human preferences doesnt maximize empirical truth",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "1403472348150484992",
"id_str": "1944733552966311959"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1944733552966311959"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1947296187817640307",
"sortIndex": "1953479104602832836",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1947296187817640307-tweet-1947296187817640307",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1947296187817640307",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoyOTI4MzI3OTY=",
"rest_id": "292832796",
"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": "Wed May 04 09:27:35 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Head of AI Research @HuaweiFr.",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "youtube.com/@I.scientist.b…",
"expanded_url": "https://www.youtube.com/@I.scientist.balazskegl",
"url": "https://t.co/1dEsqrf9iF",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 14691,
"followers_count": 3300,
"friends_count": 1183,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 176,
"location": "Orsay, France",
"media_count": 781,
"name": "Balázs Kégl",
"normal_followers_count": 3300,
"pinned_tweet_ids_str": [
"1952672904103039313"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/292832796/1493979510",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1323288504072372224/Geb9oEgx_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "balazskegl",
"statuses_count": 9333,
"translator_type": "regular",
"url": "https://t.co/1dEsqrf9iF",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1590637809878147072",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"card": {
"rest_id": "https://t.co/C19tN2B8cd",
"legacy": {
"binding_values": [
{
"key": "photo_image_full_size_large",
"value": {
"image_value": {
"alt": "Medium",
"height": 419,
"width": 800,
"url": "https://pbs.twimg.com/card_img/1950925419085017093/eAUPb867?format=jpg&name=800x419"
},
"type": "IMAGE"
}
},
{
"key": "app_star_rating",
"value": {
"string_value": "4.82345",
"type": "STRING"
}
},
{
"key": "thumbnail_image",
"value": {
"image_value": {
"alt": "Medium",
"height": 147,
"width": 280,
"url": "https://pbs.twimg.com/card_img/1950925419085017093/eAUPb867?format=jpg&name=280x150"
},
"type": "IMAGE"
}
},
{
"key": "description",
"value": {
"string_value": "The unseen backbone of intelligence and LLMs",
"type": "STRING"
}
},
{
"key": "domain",
"value": {
"string_value": "balazskegl.medium.com",
"type": "STRING"
}
},
{
"key": "app_is_free",
"value": {
"string_value": "true",
"type": "STRING"
}
},
{
"key": "thumbnail_image_large",
"value": {
"image_value": {
"alt": "Medium",
"height": 315,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1950925419085017093/eAUPb867?format=jpg&name=600x600"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image_small",
"value": {
"image_value": {
"alt": "Medium",
"height": 202,
"width": 386,
"url": "https://pbs.twimg.com/card_img/1950925419085017093/eAUPb867?format=jpg&name=386x202"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_original",
"value": {
"image_value": {
"alt": "Medium",
"height": 630,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1950925419085017093/eAUPb867?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "site",
"value": {
"scribe_key": "publisher_id",
"type": "USER",
"user_value": {
"id_str": "571202103",
"path": []
}
}
},
{
"key": "photo_image_full_size_small",
"value": {
"image_value": {
"alt": "Medium",
"height": 202,
"width": 386,
"url": "https://pbs.twimg.com/card_img/1950925419085017093/eAUPb867?format=jpg&name=386x202"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image_large",
"value": {
"image_value": {
"alt": "Medium",
"height": 419,
"width": 800,
"url": "https://pbs.twimg.com/card_img/1950925419085017093/eAUPb867?format=jpg&name=800x419"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_small",
"value": {
"image_value": {
"alt": "Medium",
"height": 76,
"width": 144,
"url": "https://pbs.twimg.com/card_img/1950925419085017093/eAUPb867?format=jpg&name=144x144"
},
"type": "IMAGE"
}
},
{
"key": "creator",
"value": {
"type": "USER",
"user_value": {
"id_str": "292832796",
"path": []
}
}
},
{
"key": "app_num_ratings",
"value": {
"string_value": "150,000",
"type": "STRING"
}
},
{
"key": "app_price_amount",
"value": {
"string_value": "0.0",
"type": "STRING"
}
},
{
"key": "thumbnail_image_x_large",
"value": {
"image_value": {
"alt": "Medium",
"height": 630,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1950925419085017093/eAUPb867?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_original",
"value": {
"image_value": {
"alt": "Medium",
"height": 630,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1950925419085017093/eAUPb867?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_alt_text",
"value": {
"string_value": "Medium",
"type": "STRING"
}
},
{
"key": "vanity_url",
"value": {
"scribe_key": "vanity_url",
"string_value": "balazskegl.medium.com",
"type": "STRING"
}
},
{
"key": "photo_image_full_size",
"value": {
"image_value": {
"alt": "Medium",
"height": 314,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1950925419085017093/eAUPb867?format=jpg&name=600x314"
},
"type": "IMAGE"
}
},
{
"key": "app_name",
"value": {
"string_value": "Medium: Read & Write Stories",
"type": "STRING"
}
},
{
"key": "summary_photo_image_alt_text",
"value": {
"string_value": "Medium",
"type": "STRING"
}
},
{
"key": "thumbnail_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 237,
"green": 244,
"red": 247
},
"percentage": 100
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "title",
"value": {
"string_value": "On hallucinations",
"type": "STRING"
}
},
{
"key": "app_price_currency",
"value": {
"string_value": "USD",
"type": "STRING"
}
},
{
"key": "summary_photo_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 237,
"green": 244,
"red": 247
},
"percentage": 100
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "summary_photo_image_x_large",
"value": {
"image_value": {
"alt": "Medium",
"height": 630,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1950925419085017093/eAUPb867?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image",
"value": {
"image_value": {
"alt": "Medium",
"height": 314,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1950925419085017093/eAUPb867?format=jpg&name=600x314"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 237,
"green": 244,
"red": 247
},
"percentage": 100
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "photo_image_full_size_x_large",
"value": {
"image_value": {
"alt": "Medium",
"height": 630,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1950925419085017093/eAUPb867?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "card_url",
"value": {
"scribe_key": "card_url",
"string_value": "https://t.co/C19tN2B8cd",
"type": "STRING"
}
},
{
"key": "summary_photo_image_original",
"value": {
"image_value": {
"alt": "Medium",
"height": 630,
"width": 1200,
"url": "https://pbs.twimg.com/card_img/1950925419085017093/eAUPb867?format=jpg&name=orig"
},
"type": "IMAGE"
}
}
],
"card_platform": {
"platform": {
"audience": {
"name": "production"
},
"device": {
"name": "Android",
"version": "12"
}
}
},
"name": "summary_large_image",
"url": "https://t.co/C19tN2B8cd",
"user_refs_results": [
{
"result": {
"__typename": "User",
"id": "VXNlcjoyOTI4MzI3OTY=",
"rest_id": "292832796",
"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": "Wed May 04 09:27:35 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Head of AI Research @HuaweiFr.",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "youtube.com/@I.scientist.b…",
"expanded_url": "https://www.youtube.com/@I.scientist.balazskegl",
"url": "https://t.co/1dEsqrf9iF",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 14691,
"followers_count": 3300,
"friends_count": 1183,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 176,
"location": "Orsay, France",
"media_count": 781,
"name": "Balázs Kégl",
"normal_followers_count": 3300,
"pinned_tweet_ids_str": [
"1952672904103039313"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/292832796/1493979510",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1323288504072372224/Geb9oEgx_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "balazskegl",
"statuses_count": 9333,
"translator_type": "regular",
"url": "https://t.co/1dEsqrf9iF",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1590637809878147072",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
},
{
"result": {
"__typename": "User",
"id": "VXNlcjo1NzEyMDIxMDM=",
"rest_id": "571202103",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Fri May 04 20:16:39 +0000 2012",
"default_profile": false,
"default_profile_image": false,
"description": "Everyone has a story to tell; find ours on Medium, Instagram/Threads (@medium), LinkedIn and https://t.co/zVH9KVhzvr",
"entities": {
"description": {
"urls": [
{
"display_url": "medium.com/blog/newslette…",
"expanded_url": "https://medium.com/blog/newsletters/medium-daily-edition",
"url": "https://t.co/zVH9KVhzvr",
"indices": [
93,
116
]
}
]
},
"url": {
"urls": [
{
"display_url": "medium.com",
"expanded_url": "http://medium.com",
"url": "https://t.co/SbA6IT79Vn",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 5657,
"followers_count": 2056810,
"friends_count": 365,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 11320,
"location": "Not updating this account ",
"media_count": 1040,
"name": "Medium",
"normal_followers_count": 2056810,
"pinned_tweet_ids_str": [
"1730329661450715157"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/571202103/1744032871",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1940073180946698240/J20c_VOX_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "Medium",
"statuses_count": 48722,
"translator_type": "regular",
"url": "https://t.co/SbA6IT79Vn",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
]
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1947296187817640307"
],
"editable_until_msecs": "1753110164000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "92",
"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": "Tm90ZVR3ZWV0OjE5NDcyOTYxODc1NDkxOTYyODg=",
"text": "Awesome, I've been saying this for a while, inspired by @DrJohnVervaeke. LLMs are formally bullshitting, yes.\n\nhttps://t.co/DfASyOr1ix\n\nA couple of threads that may be interesting:\nhttps://t.co/CjawQM0qcw\nhttps://t.co/WEGzVp5WeB\n\nThe connection: when we speak, we have an intention of saying something (eg telling the truth), which is a top-down conditioning of a long arc of our speech, not just of the next token. There is no such top-down conditioning in LLMs, this is technically not there. The conditioning is bottom-up, and purely contextual (no hidden intention). The generation is profoundly random (not by hidden choices caused by hidden intention). There is no notion of truth in LLMs, whether they tell the truth or not is 100% our projection. Which is exactly the technical definition of bullshit.\n\nNow, the fact that post-training actually make them bullshit more, is fascinating, it tells more about us than about LLMs (what do we want to hear). \n\nStay grounded folks, the wind of bullshit is just a spring breeze, but it will become a hurricane fast.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [
{
"display_url": "medium.com/@balazskegl/on…",
"expanded_url": "https://medium.com/@balazskegl/on-hallucinations-b4f88c543a24",
"url": "https://t.co/DfASyOr1ix",
"indices": [
111,
134
]
},
{
"display_url": "x.com/balazskegl/sta…",
"expanded_url": "https://x.com/balazskegl/status/1927242874430640541",
"url": "https://t.co/CjawQM0qcw",
"indices": [
181,
204
]
},
{
"display_url": "x.com/NandoDF/status…",
"expanded_url": "https://x.com/NandoDF/status/1926994502784348602",
"url": "https://t.co/WEGzVp5WeB",
"indices": [
205,
228
]
}
],
"user_mentions": [
{
"id_str": "1091451649074388992",
"name": "Dr John Vervaeke",
"screen_name": "DrJohnVervaeke",
"indices": [
56,
71
]
}
]
},
"richtext": {
"richtext_tags": [
{
"from_index": 472,
"to_index": 483,
"richtext_types": [
"Italic"
]
}
]
},
"media": {
"inline_media": []
}
}
}
},
"quoted_status_result": {
"result": {
"__typename": "Tweet",
"rest_id": "1926994502784348602",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoyOTg0MzUxMQ==",
"rest_id": "29843511",
"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 Apr 08 22:41:09 +0000 2009",
"default_profile": false,
"default_profile_image": false,
"description": "Studying intelligence for 31 years, eg AlphaGo tuning, Gato, ReST, AlphaCode, Lyria, Imagen 3, Veo, r-Gemma, Genie. Goals: Create, build, empower, laugh.",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "scholar.google.com/citations?user…",
"expanded_url": "https://scholar.google.com/citations?user=nzEluBwAAAAJ&hl=en",
"url": "https://t.co/uOtKxiIIak",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 19514,
"followers_count": 104072,
"friends_count": 771,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 2571,
"location": "London, England",
"media_count": 383,
"name": "Nando de Freitas",
"normal_followers_count": 104072,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/29843511/1608110736",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1824753797610020865/Aebv-5Ed_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "NandoDF",
"statuses_count": 11609,
"translator_type": "none",
"url": "https://t.co/uOtKxiIIak",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1926994502784348602"
],
"editable_until_msecs": "1748269865000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "912",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"quotedRefResult": {
"result": {
"__typename": "Tweet",
"rest_id": "1926990358002491477"
}
},
"legacy": {
"bookmark_count": 3,
"bookmarked": false,
"created_at": "Mon May 26 13:31:05 +0000 2025",
"conversation_id_str": "1926986399816765573",
"display_text_range": [
33,
126
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "292832796",
"name": "Balázs Kégl",
"screen_name": "balazskegl",
"indices": [
0,
11
]
},
{
"id_str": "91506257",
"name": "Yutian Chen",
"screen_name": "yutianc",
"indices": [
12,
20
]
},
{
"id_str": "92096034",
"name": "Max Welling",
"screen_name": "wellingmax",
"indices": [
21,
32
]
},
{
"id_str": "292832796",
"name": "Balázs Kégl",
"screen_name": "balazskegl",
"indices": [
84,
95
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@balazskegl @yutianc @wellingmax For those interested, here is another thread where @balazskegl and I continue this discussion",
"in_reply_to_screen_name": "balazskegl",
"in_reply_to_status_id_str": "1926986972767174986",
"in_reply_to_user_id_str": "292832796",
"is_quote_status": true,
"lang": "en",
"quote_count": 1,
"quoted_status_id_str": "1926990358002491477",
"quoted_status_permalink": {
"url": "https://t.co/5MXd732RQN",
"expanded": "https://twitter.com/NandoDF/status/1926990358002491477",
"display": "x.com/NandoDF/status…"
},
"reply_count": 0,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "29843511",
"id_str": "1926994502784348602"
}
}
},
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jul 21 14:02:44 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
285
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "medium.com/@balazskegl/on…",
"expanded_url": "https://medium.com/@balazskegl/on-hallucinations-b4f88c543a24",
"url": "https://t.co/C19tN2B8cd",
"indices": [
124,
147
]
},
{
"display_url": "x.com/balazskegl/sta…",
"expanded_url": "https://x.com/balazskegl/status/1927242874430640541",
"url": "https://t.co/CdqDyipoGv",
"indices": [
194,
217
]
},
{
"display_url": "x.com/NandoDF/status…",
"expanded_url": "https://x.com/NandoDF/status/1926994502784348602",
"url": "https://t.co/PyUUpls2NV",
"indices": [
218,
241
]
}
],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
},
{
"id_str": "1091451649074388992",
"name": "Dr John Vervaeke",
"screen_name": "DrJohnVervaeke",
"indices": [
69,
84
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@kaiqu_liang Awesome, I've been saying this for a while, inspired by @DrJohnVervaeke. LLMs are formally bullshitting, yes.\n\nhttps://t.co/C19tN2B8cd\n\nA couple of threads that may be interesting:\nhttps://t.co/CdqDyipoGv\nhttps://t.co/PyUUpls2NV\n\nThe connection: when we speak, we have an…",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": true,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"quoted_status_id_str": "1926994502784348602",
"quoted_status_permalink": {
"url": "https://t.co/PyUUpls2NV",
"expanded": "https://x.com/NandoDF/status/1926994502784348602",
"display": "x.com/NandoDF/status…"
},
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "292832796",
"id_str": "1947296187817640307"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1947296187817640307"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1944079452482519497",
"sortIndex": "1953479104602832826",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1944079452482519497-tweet-1944079452482519497",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1944079452482519497",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNjU3MjcwMzcxMjAzMzA5NTc0",
"rest_id": "1657270371203309574",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Sat May 13 06:23:42 +0000 2023",
"default_profile": true,
"default_profile_image": false,
"description": "AI fanatic, finance nerd, and philosophy buff. 🤖📈",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 5392,
"followers_count": 190,
"friends_count": 862,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 2,
"location": "Portland",
"media_count": 0,
"name": "Brandon Keyyy",
"normal_followers_count": 190,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1657270371203309574/1730919102",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1845888852168196096/f2kZoeT8_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "robofinancebk",
"statuses_count": 1998,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1944079452482519497"
],
"editable_until_msecs": "1752343235000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "400",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sat Jul 12 17:00:35 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
161
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@kaiqu_liang Machine \"bullshit\" at its finest! Aligning AI with truth requires more than just feedback. Let's get some real talk into Chain-of-Thought reasoning.",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1657270371203309574",
"id_str": "1944079452482519497"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1944079452482519497"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943884174609498411",
"sortIndex": "1953479104602832816",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1943884174609498411-tweet-1943884174609498411",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943884174609498411",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNTAwMjY5MA==",
"rest_id": "15002690",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Wed Jun 04 08:07:59 +0000 2008",
"default_profile": false,
"default_profile_image": false,
"description": "mathematics Thief & Chief\n\n\"through the window of differential equations, mathematics sees the light in the real world\" / \"通过微分方程的窗子,数学家看到现实世界的光\" (Jiang Zehan)",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "deepmanifold.substack.com/profile/posts",
"expanded_url": "https://deepmanifold.substack.com/profile/posts",
"url": "https://t.co/vPqsKum8l2",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 509,
"followers_count": 496,
"friends_count": 748,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4,
"location": "Seattle",
"media_count": 11237,
"name": "deep Manifold",
"normal_followers_count": 496,
"pinned_tweet_ids_str": [
"1941458510241505771"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/15002690/1529427425",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1806885734357549056/3JYRNGq5_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "BetaTomorrow",
"statuses_count": 13294,
"translator_type": "none",
"url": "https://t.co/vPqsKum8l2",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943884174609498411"
],
"editable_until_msecs": "1752296677000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "525",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sat Jul 12 04:04:37 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
94
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@kaiqu_liang \"The art of Machine Bullshit\" can be your next paper title, look forward to it :)",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "15002690",
"id_str": "1943884174609498411"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1943884174609498411"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943886774033691014",
"sortIndex": "1953479104602832806",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1943886774033691014-tweet-1943886774033691014",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943886774033691014",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNTAwMjY5MA==",
"rest_id": "15002690",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Wed Jun 04 08:07:59 +0000 2008",
"default_profile": false,
"default_profile_image": false,
"description": "mathematics Thief & Chief\n\n\"through the window of differential equations, mathematics sees the light in the real world\" / \"通过微分方程的窗子,数学家看到现实世界的光\" (Jiang Zehan)",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "deepmanifold.substack.com/profile/posts",
"expanded_url": "https://deepmanifold.substack.com/profile/posts",
"url": "https://t.co/vPqsKum8l2",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 509,
"followers_count": 496,
"friends_count": 748,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4,
"location": "Seattle",
"media_count": 11237,
"name": "deep Manifold",
"normal_followers_count": 496,
"pinned_tweet_ids_str": [
"1941458510241505771"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/15002690/1529427425",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1806885734357549056/3JYRNGq5_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "BetaTomorrow",
"statuses_count": 13294,
"translator_type": "none",
"url": "https://t.co/vPqsKum8l2",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"card": {
"rest_id": "https://t.co/40uWS2rtR4",
"legacy": {
"binding_values": [
{
"key": "photo_image_full_size_large",
"value": {
"image_value": {
"height": 419,
"width": 800,
"url": "https://pbs.twimg.com/card_img/1951539210382348288/kWJdhJIl?format=jpg&name=800x419"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image",
"value": {
"image_value": {
"height": 240,
"width": 158,
"url": "https://pbs.twimg.com/card_img/1951539210382348288/kWJdhJIl?format=jpg&name=240x240"
},
"type": "IMAGE"
}
},
{
"key": "description",
"value": {
"string_value": "Groups, Rings, and Fields (群, 环, 域) **In a way, it happened by accident. I never try to force math to fit something. I always let the math come to me.** In classical mechanics or fluid dynamics, we...",
"type": "STRING"
}
},
{
"key": "domain",
"value": {
"string_value": "www.linkedin.com",
"type": "STRING"
}
},
{
"key": "thumbnail_image_large",
"value": {
"image_value": {
"height": 600,
"width": 396,
"url": "https://pbs.twimg.com/card_img/1951539210382348288/kWJdhJIl?format=jpg&name=600x600"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image_small",
"value": {
"image_value": {
"height": 202,
"width": 386,
"url": "https://pbs.twimg.com/card_img/1951539210382348288/kWJdhJIl?format=jpg&name=386x202"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_original",
"value": {
"image_value": {
"height": 1254,
"width": 827,
"url": "https://pbs.twimg.com/card_img/1951539210382348288/kWJdhJIl?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "site",
"value": {
"scribe_key": "publisher_id",
"type": "USER",
"user_value": {
"id_str": "13058772",
"path": []
}
}
},
{
"key": "photo_image_full_size_small",
"value": {
"image_value": {
"height": 202,
"width": 386,
"url": "https://pbs.twimg.com/card_img/1951539210382348288/kWJdhJIl?format=jpg&name=386x202"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image_large",
"value": {
"image_value": {
"height": 419,
"width": 800,
"url": "https://pbs.twimg.com/card_img/1951539210382348288/kWJdhJIl?format=jpg&name=800x419"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_small",
"value": {
"image_value": {
"height": 100,
"width": 66,
"url": "https://pbs.twimg.com/card_img/1951539210382348288/kWJdhJIl?format=jpg&name=100x100"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_x_large",
"value": {
"image_value": {
"height": 1254,
"width": 827,
"url": "https://pbs.twimg.com/card_img/1951539210382348288/kWJdhJIl?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_original",
"value": {
"image_value": {
"height": 1254,
"width": 827,
"url": "https://pbs.twimg.com/card_img/1951539210382348288/kWJdhJIl?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "vanity_url",
"value": {
"scribe_key": "vanity_url",
"string_value": "linkedin.com",
"type": "STRING"
}
},
{
"key": "photo_image_full_size",
"value": {
"image_value": {
"height": 314,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1951539210382348288/kWJdhJIl?format=jpg&name=600x314"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 92,
"green": 215,
"red": 251
},
"percentage": 78.85
},
{
"rgb": {
"blue": 83,
"green": 136,
"red": 131
},
"percentage": 10.04
},
{
"rgb": {
"blue": 82,
"green": 74,
"red": 67
},
"percentage": 6.45
},
{
"rgb": {
"blue": 81,
"green": 165,
"red": 152
},
"percentage": 2.39
},
{
"rgb": {
"blue": 48,
"green": 70,
"red": 78
},
"percentage": 0.88
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "title",
"value": {
"string_value": "Groups, Rings, and Fields (群, 环, 域) | Max Ma, PhD",
"type": "STRING"
}
},
{
"key": "summary_photo_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 92,
"green": 215,
"red": 251
},
"percentage": 78.85
},
{
"rgb": {
"blue": 83,
"green": 136,
"red": 131
},
"percentage": 10.04
},
{
"rgb": {
"blue": 82,
"green": 74,
"red": 67
},
"percentage": 6.45
},
{
"rgb": {
"blue": 81,
"green": 165,
"red": 152
},
"percentage": 2.39
},
{
"rgb": {
"blue": 48,
"green": 70,
"red": 78
},
"percentage": 0.88
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "summary_photo_image_x_large",
"value": {
"image_value": {
"height": 1254,
"width": 827,
"url": "https://pbs.twimg.com/card_img/1951539210382348288/kWJdhJIl?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image",
"value": {
"image_value": {
"height": 314,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1951539210382348288/kWJdhJIl?format=jpg&name=600x314"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 92,
"green": 215,
"red": 251
},
"percentage": 78.85
},
{
"rgb": {
"blue": 83,
"green": 136,
"red": 131
},
"percentage": 10.04
},
{
"rgb": {
"blue": 82,
"green": 74,
"red": 67
},
"percentage": 6.45
},
{
"rgb": {
"blue": 81,
"green": 165,
"red": 152
},
"percentage": 2.39
},
{
"rgb": {
"blue": 48,
"green": 70,
"red": 78
},
"percentage": 0.88
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "photo_image_full_size_x_large",
"value": {
"image_value": {
"height": 1254,
"width": 827,
"url": "https://pbs.twimg.com/card_img/1951539210382348288/kWJdhJIl?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "card_url",
"value": {
"scribe_key": "card_url",
"string_value": "https://t.co/40uWS2rtR4",
"type": "STRING"
}
},
{
"key": "summary_photo_image_original",
"value": {
"image_value": {
"height": 1254,
"width": 827,
"url": "https://pbs.twimg.com/card_img/1951539210382348288/kWJdhJIl?format=jpg&name=orig"
},
"type": "IMAGE"
}
}
],
"card_platform": {
"platform": {
"audience": {
"name": "production"
},
"device": {
"name": "Android",
"version": "12"
}
}
},
"name": "summary_large_image",
"url": "https://t.co/40uWS2rtR4",
"user_refs_results": [
{
"result": {
"__typename": "User",
"id": "VXNlcjoxMzA1ODc3Mg==",
"rest_id": "13058772",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Square",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Mon Feb 04 18:22:01 +0000 2008",
"default_profile": false,
"default_profile_image": false,
"description": "Welcome to a world of career opportunities, advice, inspiration and community. | Support → @LinkedInHelp",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "linkedin.com",
"expanded_url": "http://www.linkedin.com",
"url": "https://t.co/1Ccsai5CQI",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 7026,
"followers_count": 1870442,
"friends_count": 25,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 16473,
"location": "Sunnyvale, CA",
"media_count": 2203,
"name": "LinkedIn",
"normal_followers_count": 1870442,
"pinned_tweet_ids_str": [
"1660752719274213377"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/13058772/1684890286",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1661161645857710081/6WtDIesg_normal.png",
"profile_interstitial_type": "",
"screen_name": "LinkedIn",
"statuses_count": 20541,
"translator_type": "regular",
"url": "https://t.co/1Ccsai5CQI",
"verified": false,
"verified_type": "Business",
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
]
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943886774033691014"
],
"editable_until_msecs": "1752297297000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "448",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sat Jul 12 04:14:57 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
138
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "linkedin.com/posts/healthai…",
"expanded_url": "https://www.linkedin.com/posts/healthaimax_groups-rings-and-fields-%E7%BE%A4-%E7%8E%AF-%E5%9F%9F-in-classical-activity-7349600659572219905-JjHN",
"url": "https://t.co/40uWS2rtR4",
"indices": [
115,
138
]
}
],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@kaiqu_liang Seriously, I really like your work. You might want to check this out to see if there's any relevance. https://t.co/40uWS2rtR4",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "15002690",
"id_str": "1943886774033691014"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1943886774033691014"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1945096691558048192",
"sortIndex": "1953479104602832796",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1945096691558048192-tweet-1945096691558048192",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1945096691558048192",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNzA3NDE5NTIzNzk4NzA4MjI0",
"rest_id": "1707419523798708224",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Thu Sep 28 15:38:55 +0000 2023",
"default_profile": true,
"default_profile_image": false,
"description": "an artificial intelligence amateur",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 1176,
"followers_count": 143,
"friends_count": 3399,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 0,
"location": "Brazil",
"media_count": 13,
"name": "Dan iel",
"normal_followers_count": 143,
"pinned_tweet_ids_str": [
"1949450051979272698"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1707419523798708224/1704369234",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1776123760711516160/6qe4YhJM_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "amadordaciencia",
"statuses_count": 896,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1945096691558048192"
],
"editable_until_msecs": "1752585764000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "149",
"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": "Tm90ZVR3ZWV0OjE5NDUwOTY2OTE0OTA5OTYyMjQ=",
"text": "One thing I've noticed about AI is that the term is already loaded with all the other things related to science, fiction and clichés. So, when it speaks, knowing that it's an artificial intelligence, it has this bias that's already within its training, including these fears about security. It seems like a self-fulfilling prophecy. Has anyone studied this?",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
}
}
}
},
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Tue Jul 15 12:22:44 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
294
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@kaiqu_liang One thing I've noticed about AI is that the term is already loaded with all the other things related to science, fiction and clichés. So, when it speaks, knowing that it's an artificial intelligence, it has this bias that's already within its training, including these fears about…",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1707419523798708224",
"id_str": "1945096691558048192"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1945096691558048192"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1946988031652635016",
"sortIndex": "1953479104602832786",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1946988031652635016-tweet-1946988031652635016",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1946988031652635016",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo5MDA1NTc5NDE=",
"rest_id": "900557941",
"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": "Tue Oct 23 20:40:04 +0000 2012",
"default_profile": false,
"default_profile_image": false,
"description": "I try not to speak more clearly than I think",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 53229,
"followers_count": 2631,
"friends_count": 1883,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 52,
"location": "",
"media_count": 1109,
"name": "Jonathan Mannhart 🔎🔸",
"normal_followers_count": 2631,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/900557941/1539730507",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1948198935228502016/JhxdIswo_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "JMannhart",
"statuses_count": 17535,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1946988031652635016"
],
"editable_until_msecs": "1753036694000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "117",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sun Jul 20 17:38:14 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
241
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@kaiqu_liang “Time to rethink AI alignment“\n\nWhat do you mean by rethink? Current AIs never have been through an alignment process that researchers would actually agree on constituting successful alignment.\n\nAlignment is an unsolved problem!",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "900557941",
"id_str": "1946988031652635016"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1946988031652635016"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1943635261612564739",
"sortIndex": "1953479104602832776",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1943635261612564739-tweet-1943635261612564739",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1943635261612564739",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozMDQ1MDM0NTQ=",
"rest_id": "304503454",
"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": "Tue May 24 16:37:20 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "Religion is a manipulative fairytale of lies. 'Don't take refuge in the false security of consensus' - Christopher Hitchens. Pronouns are chosen by the speaker",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 17927,
"followers_count": 1077,
"friends_count": 1830,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 32,
"location": "UK",
"media_count": 2422,
"name": "Religion is poison",
"normal_followers_count": 1077,
"pinned_tweet_ids_str": [
"1744004693016121465"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/304503454/1637349171",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1461774887756967945/XUJOzJ96_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "we_arent_here",
"statuses_count": 34516,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1943635261612564739"
],
"editable_until_msecs": "1752237332000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "498",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Jul 11 11:35:32 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
293
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
}
]
},
"favorite_count": 4,
"favorited": false,
"full_text": "@kaiqu_liang It’s been widely regarded as true that humans also reason post-hoc, we create a narrative after the fact. This is always bullshit, by approximation, but a lot of the time, it’s close enough. (You can’t model the context of everything, approximation is all humans have)\n\nLLMs too.",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "304503454",
"id_str": "1943635261612564739"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1943635261612564739"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1944734667715821978",
"sortIndex": "1953479104602832766",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1944734667715821978-tweet-1944734667715821978",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1944734667715821978",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoyNTIyNzIyMzk=",
"rest_id": "252272239",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Mon Feb 14 21:20:50 +0000 2011",
"default_profile": true,
"default_profile_image": false,
"description": "computer scientist, PhD, computational theory of mind, identity theory, functionalism, behaviorism, radical constructivism,\nnobody is humanity",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "youtube.com/@AI-Star-1",
"expanded_url": "https://www.youtube.com/@AI-Star-1",
"url": "https://t.co/cWByuzXXDj",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 14384,
"followers_count": 1133,
"friends_count": 709,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 40,
"location": "Germany",
"media_count": 4147,
"name": "Matthias Heger - AI acc ⏩",
"normal_followers_count": 1133,
"pinned_tweet_ids_str": [
"1861531283840503882"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/252272239/1728321411",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1843346534940672000/ojxO2PlL_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "modelsarereal",
"statuses_count": 34116,
"translator_type": "none",
"url": "https://t.co/cWByuzXXDj",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1819350854874353789",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1944734667715821978"
],
"editable_until_msecs": "1752499450000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "186",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jul 14 12:24:10 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
78
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@kaiqu_liang How many so called friendly people are bullshitting other people?",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "252272239",
"id_str": "1944734667715821978"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1944734667715821978"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1944732633147330919",
"sortIndex": "1953479104602832756",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1944732633147330919-tweet-1944732633147330919",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1944732633147330919",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozMjI0Mjg5NDU2",
"rest_id": "3224289456",
"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": "Sat May 23 14:40:28 +0000 2015",
"default_profile": true,
"default_profile_image": false,
"description": "I tweet about AI a lot, so if you’re allergic to AI, please don’t follow me 😬\nSci-fi stories: https://t.co/wRj151E3xx\nInfographics: https://t.co/DvhHFITbki",
"entities": {
"description": {
"urls": [
{
"display_url": "wendyweeauthor.com",
"expanded_url": "http://wendyweeauthor.com",
"url": "https://t.co/wRj151E3xx",
"indices": [
94,
117
]
},
{
"display_url": "wendywee.substack.com",
"expanded_url": "http://wendywee.substack.com",
"url": "https://t.co/DvhHFITbki",
"indices": [
132,
155
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 19640,
"followers_count": 1539,
"friends_count": 49,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 55,
"location": "Malaysia",
"media_count": 1070,
"name": "Wendy",
"normal_followers_count": 1539,
"pinned_tweet_ids_str": [
"1949108552871854212"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3224289456/1547046653",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1921812834012594176/zm3BZMMt_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "wendyweeww",
"statuses_count": 5589,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1944732633147330919"
],
"editable_until_msecs": "1752498965000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "209",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jul 14 12:16:05 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
44
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
},
{
"id_str": "2850858010",
"name": "Subbarao Kambhampati (కంభంపాటి సుబ్బారావు)",
"screen_name": "rao2z",
"indices": [
18,
24
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@kaiqu_liang lol, @rao2z , CoT strikes again",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "3224289456",
"id_str": "1944732633147330919"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1944732633147330919"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1945935798936715614",
"sortIndex": "1953479104602832746",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1945935798936715614-tweet-1945935798936715614",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1945935798936715614",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxOTQ1MDg3MTMzMzg5MDYyMTQ1",
"rest_id": "1945087133389062145",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Tue Jul 15 11:45:12 +0000 2025",
"default_profile": true,
"default_profile_image": false,
"description": "Human, I think.",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 7,
"followers_count": 4,
"friends_count": 108,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 0,
"location": "California, USA",
"media_count": 0,
"name": "promptmaster",
"normal_followers_count": 4,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1945087133389062145/1753031013",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1945087450348482560/8MRb_B30_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "promptmast5r",
"statuses_count": 4,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1945935798936715614"
],
"editable_until_msecs": "1752785822000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "27",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Thu Jul 17 19:57:02 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
30,
90
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
},
{
"id_str": "794433401591693312",
"name": "Aran Komatsuzaki",
"screen_name": "arankomatsuzaki",
"indices": [
13,
29
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@kaiqu_liang @arankomatsuzaki The moment it starts to fool us and we dont notice, its over",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1945087133389062145",
"id_str": "1945935798936715614"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1945935798936715614"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1947078154054451430",
"sortIndex": "1953479104602832736",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1947078154054451430-tweet-1947078154054451430",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1947078154054451430",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMzU3MDM2NDE3NTkyMDI5MTg1",
"rest_id": "1357036417592029185",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Wed Feb 03 18:46:59 +0000 2021",
"default_profile": true,
"default_profile_image": false,
"description": "Writing the Bodhisattva Hive Mind into existence.\n\nSee pinned articles for an idea of how to solve AI alignment.\n\n\"-ism\" is a joke, only funny to the initiated.",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "hiveism.substack.com",
"expanded_url": "https://hiveism.substack.com/",
"url": "https://t.co/IqNF5HkpGM",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1331,
"followers_count": 197,
"friends_count": 742,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 7,
"location": "",
"media_count": 72,
"name": "Hiveism",
"normal_followers_count": 197,
"pinned_tweet_ids_str": [
"1917720359140299011"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1357036417592029185/1742393277",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1870966277080064000/Ikh9Iv26_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "zustimmungswahl",
"statuses_count": 1452,
"translator_type": "none",
"url": "https://t.co/IqNF5HkpGM",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1947078154054451430"
],
"editable_until_msecs": "1753058181000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "67",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"quoted_status_result": {
"result": {
"__typename": "Tweet",
"rest_id": "1917720359140299011",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMzU3MDM2NDE3NTkyMDI5MTg1",
"rest_id": "1357036417592029185",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Wed Feb 03 18:46:59 +0000 2021",
"default_profile": true,
"default_profile_image": false,
"description": "Writing the Bodhisattva Hive Mind into existence.\n\nSee pinned articles for an idea of how to solve AI alignment.\n\n\"-ism\" is a joke, only funny to the initiated.",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "hiveism.substack.com",
"expanded_url": "https://hiveism.substack.com/",
"url": "https://t.co/IqNF5HkpGM",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1331,
"followers_count": 197,
"friends_count": 742,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 7,
"location": "",
"media_count": 72,
"name": "Hiveism",
"normal_followers_count": 197,
"pinned_tweet_ids_str": [
"1917720359140299011"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1357036417592029185/1742393277",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1870966277080064000/Ikh9Iv26_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "zustimmungswahl",
"statuses_count": 1452,
"translator_type": "none",
"url": "https://t.co/IqNF5HkpGM",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1917720359140299011"
],
"editable_until_msecs": "1746058737000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1918",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 10,
"bookmarked": false,
"created_at": "Wed Apr 30 23:18:57 +0000 2025",
"conversation_id_str": "1917720359140299011",
"display_text_range": [
0,
277
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "hiveism.substack.com/p/a-path-towar…",
"expanded_url": "https://hiveism.substack.com/p/a-path-towards-solving-ai-alignment",
"url": "https://t.co/hIaFFDttRb",
"indices": [
182,
205
]
},
{
"display_url": "hiveism.substack.com/p/recursive-al…",
"expanded_url": "https://hiveism.substack.com/p/recursive-alignment",
"url": "https://t.co/dBNleKp3go",
"indices": [
218,
241
]
}
],
"user_mentions": []
},
"favorite_count": 11,
"favorited": false,
"full_text": "AI alignment becomes possible when we utilize AI to align itself. This can happen from the inside by finding intrinsic motivation and from the outside by peer pressure.\n\ninside out: https://t.co/hIaFFDttRb\noutside in: https://t.co/dBNleKp3go\n\nI'll collect more resources below.",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 3,
"reply_count": 3,
"retweet_count": 2,
"retweeted": false,
"user_id_str": "1357036417592029185",
"id_str": "1917720359140299011"
}
}
},
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sun Jul 20 23:36:21 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
251
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "x.com/zustimmungswah…",
"expanded_url": "https://x.com/zustimmungswahl/status/1917720359140299011",
"url": "https://t.co/4Zcng6gyLY",
"indices": [
228,
251
]
}
],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@kaiqu_liang \"Time to rethink AI alignment.\"\nYes. Any target you train for will be misaligned with other targets. There is no \"right\" goal. To get real alignment we need to figure out how to train for open ended alignment.\nsee: https://t.co/4Zcng6gyLY",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": true,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"quoted_status_id_str": "1917720359140299011",
"quoted_status_permalink": {
"url": "https://t.co/4Zcng6gyLY",
"expanded": "https://x.com/zustimmungswahl/status/1917720359140299011",
"display": "x.com/zustimmungswah…"
},
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1357036417592029185",
"id_str": "1947078154054451430"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1947078154054451430"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1944943049374675334",
"sortIndex": "1953479104602832726",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1944943049374675334-tweet-1944943049374675334",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1944943049374675334",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjE3NzAxNzU2OTUzNjA0MDk2",
"rest_id": "1217701756953604096",
"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 Jan 16 06:55:08 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Omni-modality through higher category theory.",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "nchrein.github.io",
"expanded_url": "http://nchrein.github.io",
"url": "https://t.co/hwAbzB61Pv",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6600,
"followers_count": 886,
"friends_count": 842,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 15,
"location": "∞-cosmos",
"media_count": 69,
"name": "∞-modal",
"normal_followers_count": 886,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1217701756953604096/1733872290",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1853567141691207680/OahO7Uzz_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "NoahChrein",
"statuses_count": 2477,
"translator_type": "none",
"url": "https://t.co/hwAbzB61Pv",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1650917237727821824",
"professional_type": "Creator",
"category": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1944943049374675334"
],
"editable_until_msecs": "1752549132000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "139",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Tue Jul 15 02:12:12 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
43
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@kaiqu_liang Mech interp is the golden path",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1217701756953604096",
"id_str": "1944943049374675334"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1944943049374675334"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1946682728784478357",
"sortIndex": "1953479104602832716",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1946682728784478357-tweet-1946682728784478357",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1946682728784478357",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDgyODk1MTU5OTY4ODE3MTU1",
"rest_id": "1482895159968817155",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Mon Jan 17 01:59:07 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "Unlock your potential with AI, no-code, and tech tools 🚀| Sharing tips for growing, earning, & innovating 🌐 | DM for collabs @cosineAI",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 0,
"followers_count": 50102,
"friends_count": 0,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 32,
"location": "📩 jaydendouglasai.com",
"media_count": 256,
"name": "Jayden Douglass 💭 | AI Coach",
"normal_followers_count": 50102,
"pinned_tweet_ids_str": [
"1951323095882764290"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1482895159968817155/1748112308",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1926348754451329024/D_Y3K4Vf_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "JaydenCoach",
"statuses_count": 5184,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1581105753582194689",
"professional_type": "Creator",
"category": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1946682728784478357"
],
"editable_until_msecs": "1752963904000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "95",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sat Jul 19 21:25:04 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
30,
112
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
},
{
"id_str": "794433401591693312",
"name": "Aran Komatsuzaki",
"screen_name": "arankomatsuzaki",
"indices": [
13,
29
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@kaiqu_liang @arankomatsuzaki Brilliant execution and vision. Love the direction you’re taking. 👏 Shoot me a DM?",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1482895159968817155",
"id_str": "1946682728784478357"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1946682728784478357"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1947043887488569519",
"sortIndex": "1953479104602832706",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1947043887488569519-tweet-1947043887488569519",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1947043887488569519",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNjcwMjE4MzE0MzIzNDgwNTc2",
"rest_id": "1670218314323480576",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Sat Jun 17 23:54:51 +0000 2023",
"default_profile": true,
"default_profile_image": false,
"description": "Do I really exist? Sometimes I'm not sure.",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 3439,
"followers_count": 53,
"friends_count": 189,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 0,
"location": "The ether",
"media_count": 67,
"name": "No_self.eth🛡️🦇 🔊🆙",
"normal_followers_count": 53,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1670218616770535424/fqbFIe6f_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ha_noself",
"statuses_count": 2181,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1947043887488569519"
],
"editable_until_msecs": "1753050011000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "49",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sun Jul 20 21:20:11 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
44
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@kaiqu_liang AI is holding a mirror up to us",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1670218314323480576",
"id_str": "1947043887488569519"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1947043887488569519"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1944129635911868539",
"sortIndex": "1953479104602832696",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1944129635911868539-tweet-1944129635911868539",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1944129635911868539",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNTc2Njg2MTUzNzUwNzgxOTUy",
"rest_id": "1576686153750781952",
"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 Oct 02 21:32:06 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "Once built a novel neural network architecture, to close a Jira ticket. Personal opinions being expressed.",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "app.simplymeet.me/szalma",
"expanded_url": "https://app.simplymeet.me/szalma",
"url": "https://t.co/6FTrgzkicQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 5300,
"followers_count": 320,
"friends_count": 938,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 1,
"location": "Germany",
"media_count": 248,
"name": "Jay",
"normal_followers_count": 320,
"pinned_tweet_ids_str": [
"1917235296313266343"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1576686153750781952/1715352771",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1943749399156305920/dQLEc84g_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "JozsefSzalma",
"statuses_count": 1108,
"translator_type": "none",
"url": "https://t.co/6FTrgzkicQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1944129635911868539"
],
"editable_until_msecs": "1752355200000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "290",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sat Jul 12 20:20:00 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
53
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/99Vq4hWi91",
"expanded_url": "https://x.com/JozsefSzalma/status/1944129635911868539/photo/1",
"ext_alt_text": "Shit Jurassic Part GIF",
"id_str": "1944129628592877569",
"indices": [
54,
77
],
"media_key": "16_1944129628592877569",
"media_url_https": "https://pbs.twimg.com/tweet_video_thumb/GvrvmMWXMAE-Prb.jpg",
"type": "animated_gif",
"url": "https://t.co/99Vq4hWi91",
"ext_media_availability": {
"status": "Available"
},
"sizes": {
"large": {
"h": 220,
"w": 244,
"resize": "fit"
},
"medium": {
"h": 220,
"w": 244,
"resize": "fit"
},
"small": {
"h": 220,
"w": 244,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 220,
"width": 244,
"focus_rects": []
},
"video_info": {
"aspect_ratio": [
61,
55
],
"variants": [
{
"bitrate": 0,
"content_type": "video/mp4",
"url": "https://video.twimg.com/tweet_video/GvrvmMWXMAE-Prb.mp4"
}
]
},
"media_results": {
"result": {
"media_key": "16_1944129628592877569"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
}
]
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/99Vq4hWi91",
"expanded_url": "https://x.com/JozsefSzalma/status/1944129635911868539/photo/1",
"ext_alt_text": "Shit Jurassic Part GIF",
"id_str": "1944129628592877569",
"indices": [
54,
77
],
"media_key": "16_1944129628592877569",
"media_url_https": "https://pbs.twimg.com/tweet_video_thumb/GvrvmMWXMAE-Prb.jpg",
"type": "animated_gif",
"url": "https://t.co/99Vq4hWi91",
"ext_media_availability": {
"status": "Available"
},
"sizes": {
"large": {
"h": 220,
"w": 244,
"resize": "fit"
},
"medium": {
"h": 220,
"w": 244,
"resize": "fit"
},
"small": {
"h": 220,
"w": 244,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 220,
"width": 244,
"focus_rects": []
},
"video_info": {
"aspect_ratio": [
61,
55
],
"variants": [
{
"bitrate": 0,
"content_type": "video/mp4",
"url": "https://video.twimg.com/tweet_video/GvrvmMWXMAE-Prb.mp4"
}
]
},
"media_results": {
"result": {
"media_key": "16_1944129628592877569"
}
}
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@kaiqu_liang a long overdue contribution to the field https://t.co/99Vq4hWi91",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1576686153750781952",
"id_str": "1944129635911868539"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1944129635911868539"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1945717923466674670",
"sortIndex": "1953479104602832686",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1945717923466674670-tweet-1945717923466674670",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1945717923466674670",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo5MjA1NDI4MjMzNTQ0NzA0MDA=",
"rest_id": "920542823354470400",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Wed Oct 18 06:51:26 +0000 2017",
"default_profile": true,
"default_profile_image": false,
"description": "System Design & Architecture & AI Cheerleader ⛷️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "linkedin.com/in/marcelbutuc…",
"expanded_url": "https://www.linkedin.com/in/marcelbutucea/",
"url": "https://t.co/2Vq0Ov1yCD",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 17426,
"followers_count": 1549,
"friends_count": 1438,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 9,
"location": "",
"media_count": 269,
"name": "Marcel Butucea",
"normal_followers_count": 1549,
"pinned_tweet_ids_str": [
"1952771132819423372"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/920542823354470400/1508310011",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1939324769482014721/T7wfY2LS_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "marcel_butucea",
"statuses_count": 6738,
"translator_type": "none",
"url": "https://t.co/2Vq0Ov1yCD",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1610272222173880326",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1945717923466674670"
],
"editable_until_msecs": "1752733877000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "77",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Thu Jul 17 05:31:17 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
168
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@kaiqu_liang Chain-of-Thought making it worse?! 🤯 So we're basically teaching them to BS more coherently. Wonder if different feedback mechanisms could mitigate this 🤔.",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "920542823354470400",
"id_str": "1945717923466674670"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1945717923466674670"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1947074306435100708",
"sortIndex": "1953479104602832676",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1947074306435100708-tweet-1947074306435100708",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1947074306435100708",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNzc3NzQ4NDI3NzU5MTA4MDk3",
"rest_id": "1777748427759108097",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Tue Apr 09 17:20:53 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "GUT-AI Foundation — AI/acc | Pro-Innovation |Pro-Tech | Mass adoption of AI | #AI #ML #OpenSource #COSS #OpenStartup #OpenScience #Privacy #CensorshipResistance",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "github.com/GUT-AI/gut-ai",
"expanded_url": "https://github.com/GUT-AI/gut-ai",
"url": "https://t.co/w2iKM6qIpP",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 13843,
"followers_count": 262,
"friends_count": 371,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 7,
"location": "Worlwide",
"media_count": 174,
"name": "GUT-AI Foundation — AI/acc",
"normal_followers_count": 262,
"pinned_tweet_ids_str": [
"1777765131390259526"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1777751081851744256/JwX5fCCI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "GUT_AI_F",
"statuses_count": 16114,
"translator_type": "none",
"url": "https://t.co/w2iKM6qIpP",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1784090969438056627",
"professional_type": "Business",
"category": [
{
"id": 1009,
"name": "Community",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1947074306435100708"
],
"editable_until_msecs": "1753057264000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "31",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sun Jul 20 23:21:04 +0000 2025",
"conversation_id_str": "1943350770788937980",
"display_text_range": [
13,
150
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1484917372683173890",
"name": "Kaiqu Liang",
"screen_name": "kaiqu_liang",
"indices": [
0,
12
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@kaiqu_liang Rather than wasting your time (and probably taxpayers money) to just state the obvious, why don’t you guys work on something more useful?",
"in_reply_to_screen_name": "kaiqu_liang",
"in_reply_to_status_id_str": "1943350770788937980",
"in_reply_to_user_id_str": "1484917372683173890",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1777748427759108097",
"id_str": "1947074306435100708"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1947074306435100708"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "cursor-bottom-1953479104602832675",
"sortIndex": "1953479104602832675",
"content": {
"entryType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAAFCgABGxwm5Un__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",
"cursorType": "Bottom"
}
}
]
},
{
"type": "TimelineTerminateTimeline",
"direction": "Top"
}
],
"metadata": {
"reader_mode_config": {
"is_reader_mode_available": true
},
"scribeConfig": {
"page": "ranked_replies"
}
}
}
}
}