Viewing enriched Twitter post
Self-Challenging LLM Agents Self-improving AI systems are starting to show up everywhere. Meta and colleagues present self-improvement for general multi-turn tool-use LLM agents. Pay attention to this one, devs! Here are my notes: https://t.co/4op2qHRf9M
{
"media": [
{
"type": "image",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1930748591242424439/media_0.jpg?",
"filename": "media_0.jpg"
}
],
"nlp": {
"sentiment": "positive",
"topics": [
"self-improving AI",
"multi-turn tool-use",
"LLM agents"
],
"entities": [
"Meta"
],
"summary": "The tweet highlights the emergence of self-improving AI systems and encourages developers to pay attention to advancements in LLM agents.",
"language": "en",
"processed_at": "2025-08-07T11:39:17.014266"
}
}{
"data": {
"threaded_conversation_with_injections_v2": {
"instructions": [
{
"type": "TimelineClearCache"
},
{
"type": "TimelineAddEntries",
"entries": [
{
"entryId": "tweet-1930748591242424439",
"sortIndex": "1953511258732888064",
"content": {
"entryType": "TimelineTimelineItem",
"__typename": "TimelineTimelineItem",
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1930748591242424439",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31688,
"followers_count": 258917,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4290,
"location": "",
"media_count": 3775,
"name": "elvis",
"normal_followers_count": 258917,
"pinned_tweet_ids_str": [
"1953502698801623159"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15311,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1930748591242424439"
],
"editable_until_msecs": "1749164910000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "76265",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 773,
"bookmarked": false,
"created_at": "Thu Jun 05 22:08:30 +0000 2025",
"conversation_id_str": "1930748591242424439",
"display_text_range": [
0,
234
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/4op2qHRf9M",
"expanded_url": "https://x.com/omarsar0/status/1930748591242424439/photo/1",
"id_str": "1930746084910870528",
"indices": [
235,
258
],
"media_key": "3_1930746084910870528",
"media_url_https": "https://pbs.twimg.com/media/GstjVa6WsAAdc1o.png",
"type": "photo",
"url": "https://t.co/4op2qHRf9M",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1454,
"w": 1900,
"resize": "fit"
},
"medium": {
"h": 918,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 520,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1454,
"width": 1900,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1900,
"h": 1064
},
{
"x": 223,
"y": 0,
"w": 1454,
"h": 1454
},
{
"x": 313,
"y": 0,
"w": 1275,
"h": 1454
},
{
"x": 587,
"y": 0,
"w": 727,
"h": 1454
},
{
"x": 0,
"y": 0,
"w": 1900,
"h": 1454
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1930746084910870528"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/4op2qHRf9M",
"expanded_url": "https://x.com/omarsar0/status/1930748591242424439/photo/1",
"id_str": "1930746084910870528",
"indices": [
235,
258
],
"media_key": "3_1930746084910870528",
"media_url_https": "https://pbs.twimg.com/media/GstjVa6WsAAdc1o.png",
"type": "photo",
"url": "https://t.co/4op2qHRf9M",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1454,
"w": 1900,
"resize": "fit"
},
"medium": {
"h": 918,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 520,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1454,
"width": 1900,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1900,
"h": 1064
},
{
"x": 223,
"y": 0,
"w": 1454,
"h": 1454
},
{
"x": 313,
"y": 0,
"w": 1275,
"h": 1454
},
{
"x": 587,
"y": 0,
"w": 727,
"h": 1454
},
{
"x": 0,
"y": 0,
"w": 1900,
"h": 1454
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1930746084910870528"
}
}
}
]
},
"favorite_count": 691,
"favorited": false,
"full_text": "Self-Challenging LLM Agents\n\nSelf-improving AI systems are starting to show up everywhere.\n\nMeta and colleagues present self-improvement for general multi-turn tool-use LLM agents.\n\nPay attention to this one, devs!\n\nHere are my notes: https://t.co/4op2qHRf9M",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 11,
"reply_count": 15,
"retweet_count": 132,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1930748591242424439"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet"
}
}
},
{
"entryId": "conversationthread-1930748595059216573",
"sortIndex": "1953511258732888054",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1930748595059216573-tweet-1930748595059216573",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1930748595059216573",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31688,
"followers_count": 258917,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4290,
"location": "",
"media_count": 3775,
"name": "elvis",
"normal_followers_count": 258917,
"pinned_tweet_ids_str": [
"1953502698801623159"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15311,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1930748595059216573"
],
"editable_until_msecs": "1749164911000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "2351",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 14,
"bookmarked": false,
"created_at": "Thu Jun 05 22:08:31 +0000 2025",
"conversation_id_str": "1930748591242424439",
"display_text_range": [
0,
257
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/5HjpTvBD8E",
"expanded_url": "https://x.com/omarsar0/status/1930748595059216573/photo/1",
"id_str": "1930747579983093760",
"indices": [
258,
281
],
"media_key": "3_1930747579983093760",
"media_url_https": "https://pbs.twimg.com/media/GstkscfWYAAPfNr.jpg",
"type": "photo",
"url": "https://t.co/5HjpTvBD8E",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1075,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 630,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 357,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1254,
"width": 2388,
"focus_rects": [
{
"x": 134,
"y": 0,
"w": 2239,
"h": 1254
},
{
"x": 626,
"y": 0,
"w": 1254,
"h": 1254
},
{
"x": 703,
"y": 0,
"w": 1100,
"h": 1254
},
{
"x": 940,
"y": 0,
"w": 627,
"h": 1254
},
{
"x": 0,
"y": 0,
"w": 2388,
"h": 1254
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1930747579983093760"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/5HjpTvBD8E",
"expanded_url": "https://x.com/omarsar0/status/1930748595059216573/photo/1",
"id_str": "1930747579983093760",
"indices": [
258,
281
],
"media_key": "3_1930747579983093760",
"media_url_https": "https://pbs.twimg.com/media/GstkscfWYAAPfNr.jpg",
"type": "photo",
"url": "https://t.co/5HjpTvBD8E",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1075,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 630,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 357,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1254,
"width": 2388,
"focus_rects": [
{
"x": 134,
"y": 0,
"w": 2239,
"h": 1254
},
{
"x": 626,
"y": 0,
"w": 1254,
"h": 1254
},
{
"x": 703,
"y": 0,
"w": 1100,
"h": 1254
},
{
"x": 940,
"y": 0,
"w": 627,
"h": 1254
},
{
"x": 0,
"y": 0,
"w": 2388,
"h": 1254
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1930747579983093760"
}
}
}
]
},
"favorite_count": 30,
"favorited": false,
"full_text": "Quick Overview \n\nProposes a novel self-improvement method for multi-turn tool-use LLM agents, called the Self-Challenging Agent (SCA). \n\nIt trains LLMs entirely from tasks they generate themselves, avoiding the need for human-annotated tasks or evaluations. https://t.co/5HjpTvBD8E",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1930748591242424439",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 1,
"reply_count": 1,
"retweet_count": 2,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1930748595059216573"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1930748595059216573-tweet-1930748598502797517",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1930748598502797517",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31688,
"followers_count": 258917,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4290,
"location": "",
"media_count": 3775,
"name": "elvis",
"normal_followers_count": 258917,
"pinned_tweet_ids_str": [
"1953502698801623159"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15311,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1930748598502797517"
],
"editable_until_msecs": "1749164912000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "2538",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 6,
"bookmarked": false,
"created_at": "Thu Jun 05 22:08:32 +0000 2025",
"conversation_id_str": "1930748591242424439",
"display_text_range": [
0,
271
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/1QqZk1vTlz",
"expanded_url": "https://x.com/omarsar0/status/1930748598502797517/photo/1",
"id_str": "1930747683007799296",
"indices": [
272,
295
],
"media_key": "3_1930747683007799296",
"media_url_https": "https://pbs.twimg.com/media/GstkycSWoAAppHE.jpg",
"type": "photo",
"url": "https://t.co/1QqZk1vTlz",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 673,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 394,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 223,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 780,
"width": 2374,
"focus_rects": [
{
"x": 75,
"y": 0,
"w": 1393,
"h": 780
},
{
"x": 381,
"y": 0,
"w": 780,
"h": 780
},
{
"x": 429,
"y": 0,
"w": 684,
"h": 780
},
{
"x": 576,
"y": 0,
"w": 390,
"h": 780
},
{
"x": 0,
"y": 0,
"w": 2374,
"h": 780
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1930747683007799296"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/1QqZk1vTlz",
"expanded_url": "https://x.com/omarsar0/status/1930748598502797517/photo/1",
"id_str": "1930747683007799296",
"indices": [
272,
295
],
"media_key": "3_1930747683007799296",
"media_url_https": "https://pbs.twimg.com/media/GstkycSWoAAppHE.jpg",
"type": "photo",
"url": "https://t.co/1QqZk1vTlz",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 673,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 394,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 223,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 780,
"width": 2374,
"focus_rects": [
{
"x": 75,
"y": 0,
"w": 1393,
"h": 780
},
{
"x": 381,
"y": 0,
"w": 780,
"h": 780
},
{
"x": 429,
"y": 0,
"w": 684,
"h": 780
},
{
"x": 576,
"y": 0,
"w": 390,
"h": 780
},
{
"x": 0,
"y": 0,
"w": 2374,
"h": 780
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1930747683007799296"
}
}
}
]
},
"favorite_count": 23,
"favorited": false,
"full_text": "Code as Task\n\nThe framework introduces a new task format called Code-as-Task (CaT), ensuring generated tasks are feasible, verifiable, and challenging. \n\nSCA is shown to double performance in a self-improvement setting and significantly boost performance in distillation. https://t.co/1QqZk1vTlz",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1930748595059216573",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 1,
"reply_count": 1,
"retweet_count": 2,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1930748598502797517"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1930748595059216573-tweet-1930748601329725747",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1930748601329725747",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31688,
"followers_count": 258917,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4290,
"location": "",
"media_count": 3775,
"name": "elvis",
"normal_followers_count": 258917,
"pinned_tweet_ids_str": [
"1953502698801623159"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15311,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1930748601329725747"
],
"editable_until_msecs": "1749164912000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1645",
"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": "Tm90ZVR3ZWV0OjE5MzA3NDg2MDEyNTQyNDg0NDg=",
"text": "Self-generated tasks via dual-agent roles\n\nThe agent alternates between a challenger role, where it explores the environment and creates tasks, and an executor role, where it learns to solve these tasks via RL.\n\nThe process is designed to emulate how human annotators interact with tools to design meaningful tasks.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 3,
"bookmarked": false,
"created_at": "Thu Jun 05 22:08:32 +0000 2025",
"conversation_id_str": "1930748591242424439",
"display_text_range": [
0,
277
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 15,
"favorited": false,
"full_text": "Self-generated tasks via dual-agent roles\n\nThe agent alternates between a challenger role, where it explores the environment and creates tasks, and an executor role, where it learns to solve these tasks via RL.\n\nThe process is designed to emulate how human annotators interact…",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1930748598502797517",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1930748601329725747"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1930748595059216573-tweet-1930748603422691825",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1930748603422691825",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31688,
"followers_count": 258917,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4290,
"location": "",
"media_count": 3775,
"name": "elvis",
"normal_followers_count": 258917,
"pinned_tweet_ids_str": [
"1953502698801623159"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15311,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1930748603422691825"
],
"editable_until_msecs": "1749164913000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1553",
"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": "Tm90ZVR3ZWV0OjE5MzA3NDg2MDMzNTU2MDI5NDU=",
"text": "Code-as-Task (CaT) formulation\n\nEach synthetic task includes an instruction, a Python-based verification function, a working solution, and several failure cases. \n\nThis structure ensures task quality by filtering out trivial, impossible, or non-verifiable tasks using automatic code execution checks.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 5,
"bookmarked": false,
"created_at": "Thu Jun 05 22:08:33 +0000 2025",
"conversation_id_str": "1930748591242424439",
"display_text_range": [
0,
278
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 15,
"favorited": false,
"full_text": "Code-as-Task (CaT) formulation\n\nEach synthetic task includes an instruction, a Python-based verification function, a working solution, and several failure cases. \n\nThis structure ensures task quality by filtering out trivial, impossible, or non-verifiable tasks using automatic…",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1930748601329725747",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 1,
"reply_count": 1,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1930748603422691825"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1930748595059216573-tweet-1930748606182465976",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1930748606182465976",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31688,
"followers_count": 258917,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4290,
"location": "",
"media_count": 3775,
"name": "elvis",
"normal_followers_count": 258917,
"pinned_tweet_ids_str": [
"1953502698801623159"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15311,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1930748606182465976"
],
"editable_until_msecs": "1749164913000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1400",
"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": "Tm90ZVR3ZWV0OjE5MzA3NDg2MDYwNjkyOTMwNTY=",
"text": "Strong results in both distillation and self-improvement\n\nSCA improves the Llama-3.1-8B-Instruct model’s success rate from 12.0% to 23.5% when learning from its own tasks. \n\nIn the distillation setting (using a 70B teacher), SCA lifts performance to 32.2% Pass@1, outperforming the prior PAE baseline across all tool-use environments.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 3,
"bookmarked": false,
"created_at": "Thu Jun 05 22:08:33 +0000 2025",
"conversation_id_str": "1930748591242424439",
"display_text_range": [
0,
278
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/v22rakXtKA",
"expanded_url": "https://x.com/omarsar0/status/1930748606182465976/photo/1",
"id_str": "1930748032078774272",
"indices": [
279,
302
],
"media_key": "3_1930748032078774272",
"media_url_https": "https://pbs.twimg.com/media/GstlGwrXAAAKRNr.png",
"type": "photo",
"url": "https://t.co/v22rakXtKA",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 785,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 460,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 261,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 824,
"width": 2150,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1471,
"h": 824
},
{
"x": 284,
"y": 0,
"w": 824,
"h": 824
},
{
"x": 335,
"y": 0,
"w": 723,
"h": 824
},
{
"x": 490,
"y": 0,
"w": 412,
"h": 824
},
{
"x": 0,
"y": 0,
"w": 2150,
"h": 824
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1930748032078774272"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/v22rakXtKA",
"expanded_url": "https://x.com/omarsar0/status/1930748606182465976/photo/1",
"id_str": "1930748032078774272",
"indices": [
279,
302
],
"media_key": "3_1930748032078774272",
"media_url_https": "https://pbs.twimg.com/media/GstlGwrXAAAKRNr.png",
"type": "photo",
"url": "https://t.co/v22rakXtKA",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 785,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 460,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 261,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 824,
"width": 2150,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1471,
"h": 824
},
{
"x": 284,
"y": 0,
"w": 824,
"h": 824
},
{
"x": 335,
"y": 0,
"w": 723,
"h": 824
},
{
"x": 490,
"y": 0,
"w": 412,
"h": 824
},
{
"x": 0,
"y": 0,
"w": 2150,
"h": 824
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1930748032078774272"
}
}
}
]
},
"favorite_count": 14,
"favorited": false,
"full_text": "Strong results in both distillation and self-improvement\n\nSCA improves the Llama-3.1-8B-Instruct model’s success rate from 12.0% to 23.5% when learning from its own tasks. \n\nIn the distillation setting (using a 70B teacher), SCA lifts performance to 32.2% Pass@1, outperforming… https://t.co/v22rakXtKA",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1930748603422691825",
"in_reply_to_user_id_str": "3448284313",
"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": "3448284313",
"id_str": "1930748606182465976"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1930748595059216573-tweet-1930748609999384816",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1930748609999384816",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31688,
"followers_count": 258917,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4290,
"location": "",
"media_count": 3775,
"name": "elvis",
"normal_followers_count": 258917,
"pinned_tweet_ids_str": [
"1953502698801623159"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15311,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1930748609999384816"
],
"editable_until_msecs": "1749164914000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "5383",
"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": "Tm90ZVR3ZWV0OjE5MzA3NDg2MDk5MTk3MDA5OTI=",
"text": "Human annotation and ablation confirm task quality\n\nTasks generated with CaT significantly reduce false positives and negatives compared to PAE. \n\nA detailed analysis shows CaT’s filtering removes flawed tasks while retaining diversity when used with stronger models like Llama-3.1-70B.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 5,
"bookmarked": false,
"created_at": "Thu Jun 05 22:08:34 +0000 2025",
"conversation_id_str": "1930748591242424439",
"display_text_range": [
0,
272
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/5vjv23Wgy5",
"expanded_url": "https://x.com/omarsar0/status/1930748609999384816/photo/1",
"id_str": "1930748341870104576",
"indices": [
273,
296
],
"media_key": "3_1930748341870104576",
"media_url_https": "https://pbs.twimg.com/media/GstlYyvXkAATO-q.png",
"type": "photo",
"url": "https://t.co/5vjv23Wgy5",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 1297,
"y": 249,
"h": 461,
"w": 461
}
]
},
"medium": {
"faces": [
{
"x": 760,
"y": 146,
"h": 270,
"w": 270
}
]
},
"small": {
"faces": [
{
"x": 430,
"y": 82,
"h": 153,
"w": 153
}
]
},
"orig": {
"faces": [
{
"x": 1462,
"y": 281,
"h": 520,
"w": 520
}
]
}
},
"sizes": {
"large": {
"h": 903,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 529,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 300,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1018,
"width": 2308,
"focus_rects": [
{
"x": 490,
"y": 0,
"w": 1818,
"h": 1018
},
{
"x": 1290,
"y": 0,
"w": 1018,
"h": 1018
},
{
"x": 1415,
"y": 0,
"w": 893,
"h": 1018
},
{
"x": 1765,
"y": 0,
"w": 509,
"h": 1018
},
{
"x": 0,
"y": 0,
"w": 2308,
"h": 1018
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1930748341870104576"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/5vjv23Wgy5",
"expanded_url": "https://x.com/omarsar0/status/1930748609999384816/photo/1",
"id_str": "1930748341870104576",
"indices": [
273,
296
],
"media_key": "3_1930748341870104576",
"media_url_https": "https://pbs.twimg.com/media/GstlYyvXkAATO-q.png",
"type": "photo",
"url": "https://t.co/5vjv23Wgy5",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 1297,
"y": 249,
"h": 461,
"w": 461
}
]
},
"medium": {
"faces": [
{
"x": 760,
"y": 146,
"h": 270,
"w": 270
}
]
},
"small": {
"faces": [
{
"x": 430,
"y": 82,
"h": 153,
"w": 153
}
]
},
"orig": {
"faces": [
{
"x": 1462,
"y": 281,
"h": 520,
"w": 520
}
]
}
},
"sizes": {
"large": {
"h": 903,
"w": 2048,
"resize": "fit"
},
"medium": {
"h": 529,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 300,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1018,
"width": 2308,
"focus_rects": [
{
"x": 490,
"y": 0,
"w": 1818,
"h": 1018
},
{
"x": 1290,
"y": 0,
"w": 1018,
"h": 1018
},
{
"x": 1415,
"y": 0,
"w": 893,
"h": 1018
},
{
"x": 1765,
"y": 0,
"w": 509,
"h": 1018
},
{
"x": 0,
"y": 0,
"w": 2308,
"h": 1018
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1930748341870104576"
}
}
}
]
},
"favorite_count": 19,
"favorited": false,
"full_text": "Human annotation and ablation confirm task quality\n\nTasks generated with CaT significantly reduce false positives and negatives compared to PAE. \n\nA detailed analysis shows CaT’s filtering removes flawed tasks while retaining diversity when used with stronger models like… https://t.co/5vjv23Wgy5",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1930748606182465976",
"in_reply_to_user_id_str": "3448284313",
"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": "3448284313",
"id_str": "1930748609999384816"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1930748595059216573-tweet-1930748614403588118",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1930748614403588118",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31688,
"followers_count": 258917,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4290,
"location": "",
"media_count": 3775,
"name": "elvis",
"normal_followers_count": 258917,
"pinned_tweet_ids_str": [
"1953502698801623159"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15311,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1930748614403588118"
],
"editable_until_msecs": "1749164915000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "5266",
"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": "Tm90ZVR3ZWV0OjE5MzA3NDg2MTQyNjkzOTQ5NDQ=",
"text": "Scaling and training dynamics\n\nMore diverse tasks (not just more trajectories per task) yield better generalization, emphasizing the importance of broad synthetic coverage. \n\nOnline RL methods like PPO and GRPO can further boost performance, but at higher tuning and compute cost.\n\nPaper: https://t.co/HPVj1SIEML",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [
{
"display_url": "arxiv.org/abs/2506.01716",
"expanded_url": "https://arxiv.org/abs/2506.01716",
"url": "https://t.co/HPVj1SIEML",
"indices": [
289,
312
]
}
],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 6,
"bookmarked": false,
"created_at": "Thu Jun 05 22:08:35 +0000 2025",
"conversation_id_str": "1930748591242424439",
"display_text_range": [
0,
281
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/DfW5krj2lS",
"expanded_url": "https://x.com/omarsar0/status/1930748614403588118/photo/1",
"id_str": "1930748200362647552",
"indices": [
282,
305
],
"media_key": "3_1930748200362647552",
"media_url_https": "https://pbs.twimg.com/media/GstlQjlXIAAqNqq.jpg",
"type": "photo",
"url": "https://t.co/DfW5krj2lS",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1244,
"w": 1398,
"resize": "fit"
},
"medium": {
"h": 1068,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 605,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1244,
"width": 1398,
"focus_rects": [
{
"x": 0,
"y": 461,
"w": 1398,
"h": 783
},
{
"x": 0,
"y": 0,
"w": 1244,
"h": 1244
},
{
"x": 0,
"y": 0,
"w": 1091,
"h": 1244
},
{
"x": 212,
"y": 0,
"w": 622,
"h": 1244
},
{
"x": 0,
"y": 0,
"w": 1398,
"h": 1244
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1930748200362647552"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/DfW5krj2lS",
"expanded_url": "https://x.com/omarsar0/status/1930748614403588118/photo/1",
"id_str": "1930748200362647552",
"indices": [
282,
305
],
"media_key": "3_1930748200362647552",
"media_url_https": "https://pbs.twimg.com/media/GstlQjlXIAAqNqq.jpg",
"type": "photo",
"url": "https://t.co/DfW5krj2lS",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1244,
"w": 1398,
"resize": "fit"
},
"medium": {
"h": 1068,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 605,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1244,
"width": 1398,
"focus_rects": [
{
"x": 0,
"y": 461,
"w": 1398,
"h": 783
},
{
"x": 0,
"y": 0,
"w": 1244,
"h": 1244
},
{
"x": 0,
"y": 0,
"w": 1091,
"h": 1244
},
{
"x": 212,
"y": 0,
"w": 622,
"h": 1244
},
{
"x": 0,
"y": 0,
"w": 1398,
"h": 1244
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1930748200362647552"
}
}
}
]
},
"favorite_count": 20,
"favorited": false,
"full_text": "Scaling and training dynamics\n\nMore diverse tasks (not just more trajectories per task) yield better generalization, emphasizing the importance of broad synthetic coverage. \n\nOnline RL methods like PPO and GRPO can further boost performance, but at higher tuning and compute cost.… https://t.co/DfW5krj2lS",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1930748609999384816",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 0,
"retweet_count": 2,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1930748614403588118"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1930748606182465976"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1930754376060010595",
"sortIndex": "1953511258732888044",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1930754376060010595-tweet-1930754376060010595",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1930754376060010595",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNzU0MTk0NjYxMDg0OTgzMjk2",
"rest_id": "1754194661084983296",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sun Feb 04 17:26:41 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "Creator behind Neural Breakdown on YT. Day job in MARL and LLMs.\nNext vids: Multi-agent RL Navigation, Pytorch tutorial",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "youtube.com/@avb_fj",
"expanded_url": "http://youtube.com/@avb_fj",
"url": "https://t.co/dSiHoIi4ZJ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1709,
"followers_count": 2614,
"friends_count": 368,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 22,
"location": "",
"media_count": 489,
"name": "AVB",
"normal_followers_count": 2614,
"pinned_tweet_ids_str": [
"1952951015986090245"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1754194661084983296/1747472380",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1921198878675922944/nLE9ZX6y_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "neural_avb",
"statuses_count": 1864,
"translator_type": "none",
"url": "https://t.co/dSiHoIi4ZJ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1897412178833031377",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1930754376060010595"
],
"editable_until_msecs": "1749166289000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "656",
"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 Jun 05 22:31:29 +0000 2025",
"conversation_id_str": "1930748591242424439",
"display_text_range": [
10,
264
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 7,
"favorited": false,
"full_text": "@omarsar0 Reminds me of self play in Alpha go. I wonder if this version creates an echo chamber where improvement stops after a while. Intuitively, some kind of external data source should be required for any system to improve beyond its own data gen capabilities.",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1930748591242424439",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1754194661084983296",
"id_str": "1930754376060010595"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1930754376060010595"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1930992010254508061",
"sortIndex": "1953511258732888034",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1930992010254508061-tweet-1930992010254508061",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1930992010254508061",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo3MDc3NjQy",
"rest_id": "7077642",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Mon Jun 25 22:23:01 +0000 2007",
"default_profile": false,
"default_profile_image": false,
"description": "Spent a lot of years doing non-profit work in Afghanistan. DTC. \"Thinking small is a self-fulfilling prophecy\"",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ericraum.com",
"expanded_url": "https://www.ericraum.com",
"url": "https://t.co/0zZIXNQbyd",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 3877,
"followers_count": 154,
"friends_count": 181,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 5,
"location": "",
"media_count": 58,
"name": "Eric Raum",
"normal_followers_count": 154,
"pinned_tweet_ids_str": [
"1932077840247267356"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/7077642/1745520197",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1933635501904314368/tYzy0nJO_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ericraum",
"statuses_count": 1275,
"translator_type": "none",
"url": "https://t.co/0zZIXNQbyd",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1930992010254508061"
],
"editable_until_msecs": "1749222945000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "407",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"quoted_status_result": {
"result": {
"__typename": "Tweet",
"rest_id": "1930645064721559802",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo3MDc3NjQy",
"rest_id": "7077642",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Mon Jun 25 22:23:01 +0000 2007",
"default_profile": false,
"default_profile_image": false,
"description": "Spent a lot of years doing non-profit work in Afghanistan. DTC. \"Thinking small is a self-fulfilling prophecy\"",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "ericraum.com",
"expanded_url": "https://www.ericraum.com",
"url": "https://t.co/0zZIXNQbyd",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 3877,
"followers_count": 154,
"friends_count": 181,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 5,
"location": "",
"media_count": 58,
"name": "Eric Raum",
"normal_followers_count": 154,
"pinned_tweet_ids_str": [
"1932077840247267356"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/7077642/1745520197",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1933635501904314368/tYzy0nJO_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "ericraum",
"statuses_count": 1275,
"translator_type": "none",
"url": "https://t.co/0zZIXNQbyd",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1930645064721559802"
],
"editable_until_msecs": "1749140227000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "601",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"quotedRefResult": {
"result": {
"__typename": "TweetWithVisibilityResults",
"tweet": {
"rest_id": "1930583675445411968"
}
}
},
"legacy": {
"bookmark_count": 1,
"bookmarked": false,
"created_at": "Thu Jun 05 15:17:07 +0000 2025",
"conversation_id_str": "1930645064721559802",
"display_text_range": [
0,
271
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 0,
"favorited": false,
"full_text": "Something like this could get us closer: System prompt & tool use that lets the model keep track of knowledge it realizes it lacks (as it encounters queries in the real world). \n\nThose are used to create RL sets with a consistent RL schedule. \n\nAll behind the scenes.",
"is_quote_status": true,
"lang": "en",
"quote_count": 1,
"quoted_status_id_str": "1930583675445411968",
"quoted_status_permalink": {
"url": "https://t.co/QVlr6vu2tn",
"expanded": "https://twitter.com/VitalikButerin/status/1930583675445411968",
"display": "x.com/VitalikButerin…"
},
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "7077642",
"id_str": "1930645064721559802"
}
}
},
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Jun 06 14:15:45 +0000 2025",
"conversation_id_str": "1930748591242424439",
"display_text_range": [
10,
119
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "x.com/ericraum/statu…",
"expanded_url": "https://x.com/ericraum/status/1930645064721559802?s=46&t=MGQ73T15c54vO7R1I_7Qdw",
"url": "https://t.co/XjlXNFREYG",
"indices": [
96,
119
]
}
],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@omarsar0 Here is a basic outline of how this “self-challenging” could be used in production: \n\nhttps://t.co/XjlXNFREYG",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1930748591242424439",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": true,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"quoted_status_id_str": "1930645064721559802",
"quoted_status_permalink": {
"url": "https://t.co/XjlXNFREYG",
"expanded": "https://x.com/ericraum/status/1930645064721559802?s=46&t=MGQ73T15c54vO7R1I_7Qdw",
"display": "x.com/ericraum/statu…"
},
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "7077642",
"id_str": "1930992010254508061"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1930992010254508061"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931383129576800736",
"sortIndex": "1953511258732888024",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1931383129576800736-tweet-1931383129576800736",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931383129576800736",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNTYyOTA1NjcyNjUxNDE5NjQ4",
"rest_id": "1562905672651419648",
"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 25 20:52:38 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "building AI agents and AI systems, sharing my ups and downs+challenges I'm facing so you don't have to. \n\nbuilding psquared AgentHub (https://t.co/sbXGK7yR9k )",
"entities": {
"description": {
"urls": [
{
"display_url": "psquared.dev",
"expanded_url": "https://www.psquared.dev",
"url": "https://t.co/sbXGK7yR9k",
"indices": [
134,
157
]
}
]
},
"url": {
"urls": [
{
"display_url": "cal.com/psquared/erstg…",
"expanded_url": "https://cal.com/psquared/erstgespraech",
"url": "https://t.co/39W7NsyuAk",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1364,
"followers_count": 190,
"friends_count": 83,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 1,
"location": "Austria",
"media_count": 49,
"name": "martin.p",
"normal_followers_count": 190,
"pinned_tweet_ids_str": [
"1938801541047275960"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1562905672651419648/1749129052",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1908183848027910144/pxEw8bec_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "OnePromptMagic",
"statuses_count": 668,
"translator_type": "none",
"url": "https://t.co/39W7NsyuAk",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931383129576800736"
],
"editable_until_msecs": "1749316196000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "89",
"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": "Tm90ZVR3ZWV0OjE5MzEzODMxMjk1MDEyMzcyNDg=",
"text": "thanks for the insights. I feel like self improving agents is gonna be a slippery slope. You will get further and further away from knowing what your agents will actually do, not sure if this is something I would embrace with open arms, at least not at this point, where at least in my opinion I can still prompt better than the AI :D",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sat Jun 07 16:09:56 +0000 2025",
"conversation_id_str": "1930748591242424439",
"display_text_range": [
10,
290
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@omarsar0 thanks for the insights. I feel like self improving agents is gonna be a slippery slope. You will get further and further away from knowing what your agents will actually do, not sure if this is something I would embrace with open arms, at least not at this point, where at least…",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1930748591242424439",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1562905672651419648",
"id_str": "1931383129576800736"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1931383129576800736"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1930984347773145099",
"sortIndex": "1953511258732888014",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1930984347773145099-tweet-1930984347773145099",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1930984347773145099",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODAzOTg1NzY5MTUwNjc2OTky",
"rest_id": "1803985769150676992",
"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 Jun 21 02:59:12 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "World’s most trustworthy and accurate evaluation, observability and optimization tool for multimodal AI.",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "futureagi.com",
"expanded_url": "http://www.futureagi.com",
"url": "https://t.co/GRrL0gc69k",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 1106,
"followers_count": 225,
"friends_count": 170,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 5,
"location": "San Francisco Bay Area",
"media_count": 430,
"name": "Future AGI",
"normal_followers_count": 225,
"pinned_tweet_ids_str": [
"1889351199796719743"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1803985769150676992/1747212284",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1877222686767685632/muLMYpqS_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "FutureAGI_",
"statuses_count": 1211,
"translator_type": "none",
"url": "https://t.co/GRrL0gc69k",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"card": {
"rest_id": "https://t.co/3HcCir7qUL",
"legacy": {
"binding_values": [
{
"key": "photo_image_full_size_large",
"value": {
"image_value": {
"height": 419,
"width": 800,
"url": "https://pbs.twimg.com/card_img/1952344940664483840/q1Lk06NM?format=png&name=800x419"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image",
"value": {
"image_value": {
"height": 200,
"width": 400,
"url": "https://pbs.twimg.com/card_img/1952344940664483840/q1Lk06NM?format=png&name=400x400"
},
"type": "IMAGE"
}
},
{
"key": "description",
"value": {
"string_value": "Discover top Agentic AI Frameworks for 2025. Explore autonomous AI, multi-agent systems and AI automation tools like LangChain for smarter workflows.",
"type": "STRING"
}
},
{
"key": "domain",
"value": {
"string_value": "futureagi.com",
"type": "STRING"
}
},
{
"key": "thumbnail_image_large",
"value": {
"image_value": {
"height": 300,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1952344940664483840/q1Lk06NM?format=png&name=600x600"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image_small",
"value": {
"image_value": {
"height": 202,
"width": 386,
"url": "https://pbs.twimg.com/card_img/1952344940664483840/q1Lk06NM?format=png&name=386x202"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_original",
"value": {
"image_value": {
"height": 1920,
"width": 3840,
"url": "https://pbs.twimg.com/card_img/1952344940664483840/q1Lk06NM?format=png&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_small",
"value": {
"image_value": {
"height": 202,
"width": 386,
"url": "https://pbs.twimg.com/card_img/1952344940664483840/q1Lk06NM?format=png&name=386x202"
},
"type": "IMAGE"
}
},
{
"key": "summary_photo_image_large",
"value": {
"image_value": {
"height": 419,
"width": 800,
"url": "https://pbs.twimg.com/card_img/1952344940664483840/q1Lk06NM?format=png&name=800x419"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_small",
"value": {
"image_value": {
"height": 72,
"width": 144,
"url": "https://pbs.twimg.com/card_img/1952344940664483840/q1Lk06NM?format=png&name=144x144"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_x_large",
"value": {
"image_value": {
"height": 1024,
"width": 2048,
"url": "https://pbs.twimg.com/card_img/1952344940664483840/q1Lk06NM?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_original",
"value": {
"image_value": {
"height": 1920,
"width": 3840,
"url": "https://pbs.twimg.com/card_img/1952344940664483840/q1Lk06NM?format=png&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "vanity_url",
"value": {
"scribe_key": "vanity_url",
"string_value": "futureagi.com",
"type": "STRING"
}
},
{
"key": "photo_image_full_size",
"value": {
"image_value": {
"height": 314,
"width": 600,
"url": "https://pbs.twimg.com/card_img/1952344940664483840/q1Lk06NM?format=png&name=600x314"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 215,
"green": 162,
"red": 55
},
"percentage": 62.22
},
{
"rgb": {
"blue": 221,
"green": 136,
"red": 52
},
"percentage": 30.27
},
{
"rgb": {
"blue": 234,
"green": 204,
"red": 162
},
"percentage": 3.93
},
{
"rgb": {
"blue": 88,
"green": 207,
"red": 210
},
"percentage": 1.5
},
{
"rgb": {
"blue": 122,
"green": 191,
"red": 164
},
"percentage": 0.94
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "title",
"value": {
"string_value": "Top Agentic AI Frameworks 2025 | Future AGI Insights",
"type": "STRING"
}
},
{
"key": "summary_photo_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 215,
"green": 162,
"red": 55
},
"percentage": 62.22
},
{
"rgb": {
"blue": 221,
"green": 136,
"red": 52
},
"percentage": 30.27
},
{
"rgb": {
"blue": 234,
"green": 204,
"red": 162
},
"percentage": 3.93
},
{
"rgb": {
"blue": 88,
"green": 207,
"red": 210
},
"percentage": 1.5
},
{
"rgb": {
"blue": 122,
"green": 191,
"red": 164
},
"percentage": 0.94
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "summary_photo_image_x_large",
"value": {
"image_value": {
"height": 1024,
"width": 2048,
"url": "https://pbs.twimg.com/card_img/1952344940664483840/q1Lk06NM?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/1952344940664483840/q1Lk06NM?format=png&name=600x314"
},
"type": "IMAGE"
}
},
{
"key": "photo_image_full_size_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 215,
"green": 162,
"red": 55
},
"percentage": 62.22
},
{
"rgb": {
"blue": 221,
"green": 136,
"red": 52
},
"percentage": 30.27
},
{
"rgb": {
"blue": 234,
"green": 204,
"red": 162
},
"percentage": 3.93
},
{
"rgb": {
"blue": 88,
"green": 207,
"red": 210
},
"percentage": 1.5
},
{
"rgb": {
"blue": 122,
"green": 191,
"red": 164
},
"percentage": 0.94
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "photo_image_full_size_x_large",
"value": {
"image_value": {
"height": 1024,
"width": 2048,
"url": "https://pbs.twimg.com/card_img/1952344940664483840/q1Lk06NM?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "card_url",
"value": {
"scribe_key": "card_url",
"string_value": "https://t.co/3HcCir7qUL",
"type": "STRING"
}
},
{
"key": "summary_photo_image_original",
"value": {
"image_value": {
"height": 1920,
"width": 3840,
"url": "https://pbs.twimg.com/card_img/1952344940664483840/q1Lk06NM?format=png&name=orig"
},
"type": "IMAGE"
}
}
],
"card_platform": {
"platform": {
"audience": {
"name": "production"
},
"device": {
"name": "Android",
"version": "12"
}
}
},
"name": "summary_large_image",
"url": "https://t.co/3HcCir7qUL",
"user_refs_results": []
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1930984347773145099"
],
"editable_until_msecs": "1749221119000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "249",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Jun 06 13:45:19 +0000 2025",
"conversation_id_str": "1930748591242424439",
"display_text_range": [
10,
124
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "futureagi.com/blogs/agentic-…",
"expanded_url": "https://futureagi.com/blogs/agentic-ai-tools-frameworks-2025",
"url": "https://t.co/3HcCir7qUL",
"indices": [
101,
124
]
}
],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@omarsar0 nice Meta’s self-challenge RL loops are proof that LLMs benefit when they earn each token.\nhttps://t.co/3HcCir7qUL",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1930748591242424439",
"in_reply_to_user_id_str": "3448284313",
"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": "1803985769150676992",
"id_str": "1930984347773145099"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1930984347773145099"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1930918285526360550",
"sortIndex": "1953511258732888004",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1930918285526360550-tweet-1930918285526360550",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1930918285526360550",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODg3NzczNzE4MjEyMTkwMjA4",
"rest_id": "1887773718212190208",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Fri Feb 07 08:02:09 +0000 2025",
"default_profile": true,
"default_profile_image": false,
"description": "Reshape audio workflows with AI-powered voice solutions\n\nContact us for business, tech support & advice: team@all-voice-lab.com",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "allvoicelab.com",
"expanded_url": "https://www.allvoicelab.com/",
"url": "https://t.co/Y9I4c35Sk3",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 224,
"followers_count": 66,
"friends_count": 64,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 1,
"location": "Singapore",
"media_count": 20,
"name": "ALL Voice Lab",
"normal_followers_count": 66,
"pinned_tweet_ids_str": [
"1897172862924153021"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1887773718212190208/1740047112",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1888831822425096192/2WiPW9Q6_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "AllVoiceLab",
"statuses_count": 218,
"translator_type": "none",
"url": "https://t.co/Y9I4c35Sk3",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1930918285526360550"
],
"editable_until_msecs": "1749205368000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "240",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Jun 06 09:22:48 +0000 2025",
"conversation_id_str": "1930748591242424439",
"display_text_range": [
10,
81
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@omarsar0 Self-improving agents? Excited to see creative workflow potential here!",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1930748591242424439",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1887773718212190208",
"id_str": "1930918285526360550"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1930918285526360550"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1930865118243328218",
"sortIndex": "1953511258732887994",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1930865118243328218-tweet-1930865118243328218",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1930865118243328218",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxOTE3Mjc2ODcxMzAzMjU4MTE3",
"rest_id": "1917276871303258117",
"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": "Tue Apr 29 17:56:56 +0000 2025",
"default_profile": true,
"default_profile_image": false,
"description": "Build and debug finetuned LLMs with no code.",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "phinity.ai",
"expanded_url": "https://www.phinity.ai/",
"url": "https://t.co/xvNGTsrjUn",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 2582,
"followers_count": 72,
"friends_count": 7,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 0,
"location": "",
"media_count": 63,
"name": "Phinity Labs",
"normal_followers_count": 72,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1917276871303258117/1749339808",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1917281980133302277/NQTdiJH-_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "phinity_ai",
"statuses_count": 1762,
"translator_type": "none",
"url": "https://t.co/xvNGTsrjUn",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1917279833958277155",
"professional_type": "Business",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1930865118243328218"
],
"editable_until_msecs": "1749192692000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "224",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Jun 06 05:51:32 +0000 2025",
"conversation_id_str": "1930748591242424439",
"display_text_range": [
10,
100
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@omarsar0 Meta’s take on self-evolving AI agents could change how we build and trust future systems.",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1930748591242424439",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1917276871303258117",
"id_str": "1930865118243328218"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1930865118243328218"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1931914629648982223",
"sortIndex": "1953511258732887984",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1931914629648982223-tweet-1931914629648982223",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1931914629648982223",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNzY4Nzk2NzA=",
"rest_id": "176879670",
"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 Aug 10 17:49:39 +0000 2010",
"default_profile": true,
"default_profile_image": false,
"description": "mammi",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 56,
"followers_count": 1,
"friends_count": 4,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 0,
"location": "Toronto",
"media_count": 0,
"name": "Mariano Zelaya",
"normal_followers_count": 1,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1935200133349785603/FeH6mLv2_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "nano3646resiste",
"statuses_count": 31,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1931914629648982223"
],
"editable_until_msecs": "1749442915000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "4",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Mon Jun 09 03:21:55 +0000 2025",
"conversation_id_str": "1930748591242424439",
"display_text_range": [
10,
58
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@omarsar0 tools are just mirrors. the real loop is inside.",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1930748591242424439",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "176879670",
"id_str": "1931914629648982223"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1931914629648982223"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1930750933173969036",
"sortIndex": "1953511258732887974",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1930750933173969036-tweet-1930750933173969036",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1930750933173969036",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODI5NjM2ODg3MjQzMzEzMTUy",
"rest_id": "1829636887243313152",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Fri Aug 30 21:46:54 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "Just another crypto enthusiast.",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 1645,
"followers_count": 10,
"friends_count": 15,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 1,
"location": "",
"media_count": 127,
"name": "Sonoid",
"normal_followers_count": 10,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1829636887243313152/1742112593",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1901190291060662272/_MYPrDS1_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "sonoid7",
"statuses_count": 1568,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1930750933173969036"
],
"editable_until_msecs": "1749165468000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "41",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Thu Jun 05 22:17:48 +0000 2025",
"conversation_id_str": "1930748591242424439",
"display_text_range": [
10,
40
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
},
{
"id_str": "1763965208433938432",
"name": "Cido",
"screen_name": "cido_ai",
"indices": [
27,
35
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@omarsar0 Pay attention to @cido_ai too.",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1930748591242424439",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1829636887243313152",
"id_str": "1930750933173969036"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1930750933173969036"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1930931265647051186",
"sortIndex": "1953511258732887964",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1930931265647051186-tweet-1930931265647051186",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1930931265647051186",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNzgxOTUxMjMzODIzMDE5MDA4",
"rest_id": "1781951233823019008",
"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": "Sun Apr 21 07:41:13 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "Exploring AI and tech",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 135,
"followers_count": 17,
"friends_count": 289,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 0,
"location": "Cloud",
"media_count": 11,
"name": "ValMyScore",
"normal_followers_count": 17,
"pinned_tweet_ids_str": [
"1783573627373281591"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1781951233823019008/1713686204",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1781954769122168832/aTGhuD2S_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "valmyscore",
"statuses_count": 42,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1930931265647051186"
],
"editable_until_msecs": "1749208463000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "210",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Jun 06 10:14:23 +0000 2025",
"conversation_id_str": "1930748591242424439",
"display_text_range": [
10,
209
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@omarsar0 Great research. The Self-Challenging framework lets LLMs generate and evaluate their own training tasks—no human labels needed—yet still outperforms baselines. A big step toward autonomous AI agents.",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1930748591242424439",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1781951233823019008",
"id_str": "1930931265647051186"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1930931265647051186"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "cursor-showmorethreads-1953511258732887963",
"sortIndex": "1953511258732887963",
"content": {
"entryType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAAFCgABGxxEI8F__5kLAAIAAADQRW1QQzZ3QUFBZlEvZ0dKTjB2R3AvQUFBQUJFYXphYTVNNXVCNEJyTFphQzJGaUc0R3N0bG9CR1hVZkVheTJXZUh4YlF2UnJMejVoS0ZoRGFHc3Rudm9HV29Jd2F5MnJnSFphQVl4ck1DOEZ1bG9HeUdzdi84ME1hNGVZYXkyV2ZsTmN4TXhyUGloNjBtNkRQR3N3OENKUGJrQXNheTJXaW9CcUFGaHJNUXdDalZtQWRHc3RsbnV4WHNNMGF5MldkTzVjd2R4ckxaYUdabDdEdwgAAwAAAAcAAA",
"cursorType": "ShowMoreThreads",
"displayTreatment": {
"actionText": "Show probable spam"
}
}
}
]
},
{
"type": "TimelineTerminateTimeline",
"direction": "Top"
}
],
"metadata": {
"reader_mode_config": {
"is_reader_mode_available": true
},
"scribeConfig": {
"page": "ranked_replies"
}
}
}
}
}