Viewing enriched Twitter post
Test‑time scaling Best‑of‑3 and pass@3 markedly boost AFM, e.g., GAIA 69.9 and HLE 33.2, closing the gap with larger proprietary agent stacks. Overall, Chain-of-Agents enables training single-agent foundation models that natively simulate multi-agent collaboration, combining multi-agent distillation with agentic RL to achieve state-of-the-art results Project + Code + Models: https://t.co/yeI0JTO6ok Paper: https://t.co/vxzeM4x1dy
{
"media": [
{
"type": "photo",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1958186655552245839/media_0.jpg?",
"filename": "media_0.jpg"
},
{
"url": "static/image/your_banner_image.png",
"type": "photo"
},
{
"type": "photo",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1958186655552245839/media_2.png?",
"filename": "media_2.png"
}
],
"processed_at": "2025-08-21T05:32:35.233172",
"pipeline_version": "2.0"
}{
"type": "tweet",
"id": "1958186655552245839",
"url": "https://x.com/omarsar0/status/1958186655552245839",
"twitterUrl": "https://twitter.com/omarsar0/status/1958186655552245839",
"text": "Test‑time scaling\n\nBest‑of‑3 and pass@3 markedly boost AFM, e.g., GAIA 69.9 and HLE 33.2, closing the gap with larger proprietary agent stacks.\n\nOverall, Chain-of-Agents enables training single-agent foundation models that natively simulate multi-agent collaboration, combining multi-agent distillation with agentic RL to achieve state-of-the-art results\n\nProject + Code + Models: https://t.co/yeI0JTO6ok\nPaper: https://t.co/vxzeM4x1dy",
"source": "Twitter for iPhone",
"retweetCount": 1,
"replyCount": 0,
"likeCount": 11,
"quoteCount": 0,
"viewCount": 3619,
"createdAt": "Wed Aug 20 15:17:34 +0000 2025",
"lang": "en",
"bookmarkCount": 5,
"isReply": true,
"inReplyToId": "1958186640310186234",
"conversationId": "1958186531161853995",
"displayTextRange": [
0,
278
],
"inReplyToUserId": "3448284313",
"inReplyToUsername": "omarsar0",
"author": {
"type": "user",
"userName": "omarsar0",
"url": "https://x.com/omarsar0",
"twitterUrl": "https://twitter.com/omarsar0",
"id": "3448284313",
"name": "elvis",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"description": "",
"location": "",
"followers": 260677,
"following": 659,
"status": "",
"canDm": true,
"canMediaTag": true,
"createdAt": "Fri Sep 04 12:59:26 +0000 2015",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 31924,
"hasCustomTimelines": true,
"isTranslator": true,
"mediaCount": 3878,
"statusesCount": 15516,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"1958186531161853995"
],
"profile_bio": {
"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": {
"user_mentions": [
{
"id_str": "0",
"indices": [
24,
32
],
"name": "",
"screen_name": "dair_ai"
}
]
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"indices": [
0,
23
],
"url": "https://t.co/JBU5beHQNs"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {
"media": [
{
"display_url": "pic.twitter.com/706p5c5Ds8",
"expanded_url": "https://twitter.com/omarsar0/status/1958186655552245839/photo/1",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {},
"orig": {}
},
"id_str": "1958186653140520960",
"indices": [
279,
302
],
"media_key": "3_1958186653140520960",
"media_results": {
"id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARss4GLYWhAACgACGyzgY2gaEE8AAA==",
"result": {
"__typename": "ApiMedia",
"id": "QXBpTWVkaWE6DAABCgABGyzgYthaEAAKAAIbLOBjaBoQTwAA",
"media_key": "3_1958186653140520960"
}
},
"media_url_https": "https://pbs.twimg.com/media/GyzgYthaEAAGSxf.jpg",
"original_info": {
"focus_rects": [
{
"h": 448,
"w": 800,
"x": 0,
"y": 0
},
{
"h": 448,
"w": 448,
"x": 0,
"y": 0
},
{
"h": 448,
"w": 393,
"x": 26,
"y": 0
},
{
"h": 448,
"w": 224,
"x": 110,
"y": 0
},
{
"h": 448,
"w": 1273,
"x": 0,
"y": 0
}
],
"height": 448,
"width": 1273
},
"sizes": {
"large": {
"h": 448,
"w": 1273
}
},
"type": "photo",
"url": "https://t.co/706p5c5Ds8"
}
]
},
"card": null,
"place": {},
"entities": {
"urls": [
{
"display_url": "chain-of-agents-afm.github.io",
"expanded_url": "https://chain-of-agents-afm.github.io/",
"indices": [
381,
404
],
"url": "https://t.co/yeI0JTO6ok"
},
{
"display_url": "arxiv.org/abs/2508.13167",
"expanded_url": "https://arxiv.org/abs/2508.13167",
"indices": [
412,
435
],
"url": "https://t.co/vxzeM4x1dy"
}
]
},
"quoted_tweet": null,
"retweeted_tweet": null,
"article": null
}