Viewing enriched Twitter post
There are a bunch of areas where inference-efficient architectures make a huge difference (e.g. RL training where 80% of the time is spent on large batch, long sequence rollout). Lots to do on both the algorithms and systems side to realize the potential benefits of these new architectures! Check out the threads from the students who led this project: https://t.co/7jG3beI9Sj https://t.co/i685cnZrZ7 https://t.co/X7pd2VQ6e3 https://t.co/rQ9DwKT6KS 10/10
{
"score": 0.44,
"score_components": {
"author": 0.09,
"engagement": 0.0,
"quality": 0.13999999999999999,
"source": 0.135,
"nlp": 0.05,
"recency": 0.025
},
"scored_at": "2026-03-17T17:09:22.893583",
"import_source": "api_import",
"source_tagged_at": "2026-03-17T17:09:22.893595",
"enriched": true,
"enriched_at": "2026-03-17T17:09:22.893598"
}{
"type": "tweet",
"id": "2033952677999349921",
"url": "https://x.com/tri_dao/status/2033952677999349921",
"twitterUrl": "https://twitter.com/tri_dao/status/2033952677999349921",
"text": "There are a bunch of areas where inference-efficient architectures make a huge difference (e.g. RL training where 80% of the time is spent on large batch, long sequence rollout). Lots to do on both the algorithms and systems side to realize the potential benefits of these new architectures!\nCheck out the threads from the students who led this project:\nhttps://t.co/7jG3beI9Sj\nhttps://t.co/i685cnZrZ7\nhttps://t.co/X7pd2VQ6e3\nhttps://t.co/rQ9DwKT6KS\n10/10",
"source": "Twitter for iPhone",
"retweetCount": 0,
"replyCount": 0,
"likeCount": 0,
"quoteCount": 0,
"viewCount": 79,
"createdAt": "Tue Mar 17 17:04:42 +0000 2026",
"lang": "en",
"bookmarkCount": 0,
"isReply": true,
"inReplyToId": "2033948630051394051",
"conversationId": "2033948569502413245",
"displayTextRange": [
0,
276
],
"inReplyToUserId": "568879807",
"inReplyToUsername": "tri_dao",
"author": {
"type": "user",
"userName": "tri_dao",
"url": "https://x.com/tri_dao",
"twitterUrl": "https://twitter.com/tri_dao",
"id": "568879807",
"name": "Tri Dao",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/1389486324516671496/owa9Z4AC_normal.jpg",
"coverPicture": "",
"description": "",
"location": "Stanford, CA",
"followers": 38194,
"following": 645,
"status": "",
"canDm": true,
"canMediaTag": true,
"createdAt": "Wed May 02 07:13:50 +0000 2012",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 1610,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 59,
"statusesCount": 911,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"1811453622070444071"
],
"profile_bio": {
"description": "Asst. Prof @PrincetonCS, Chief Scientist @togethercompute. Machine learning & systems.",
"entities": {
"description": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": [
{
"id_str": "0",
"indices": [
11,
23
],
"name": "",
"screen_name": "PrincetonCS"
},
{
"id_str": "0",
"indices": [
41,
57
],
"name": "",
"screen_name": "togethercompute"
}
]
},
"url": {
"urls": [
{
"display_url": "tridao.me",
"expanded_url": "https://tridao.me",
"indices": [
0,
23
],
"url": "https://t.co/uFTGOmLPGP"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {},
"card": null,
"place": {},
"entities": {
"hashtags": [],
"symbols": [],
"urls": [
{
"display_url": "x.com/aakash_lahoti/…",
"expanded_url": "https://x.com/aakash_lahoti/status/2033950882271007193",
"indices": [
354,
377
],
"url": "https://t.co/7jG3beI9Sj"
},
{
"display_url": "x.com/kevinyli_/stat…",
"expanded_url": "https://x.com/kevinyli_/status/2033949369867681933?s=20",
"indices": [
378,
401
],
"url": "https://t.co/i685cnZrZ7"
},
{
"display_url": "x.com/_berlinchen/st…",
"expanded_url": "https://x.com/_berlinchen/status/2033952263388205344",
"indices": [
402,
425
],
"url": "https://t.co/X7pd2VQ6e3"
},
{
"display_url": "x.com/caitWW9/status…",
"expanded_url": "https://x.com/caitWW9/status/2033949351710457978",
"indices": [
426,
449
],
"url": "https://t.co/rQ9DwKT6KS"
}
],
"user_mentions": []
},
"quoted_tweet": null,
"retweeted_tweet": null,
"isLimitedReply": false,
"article": null
}