@jeremyphoward
RT @percyliang: In Marin, we are trying to get really good at scaling laws. We have trained models up to 1e22 FLOPs and have made a predict…
Viewing enriched Twitter post
RT @percyliang: In Marin, we are trying to get really good at scaling laws. We have trained models up to 1e22 FLOPs and have made a predict…
{
"score": 0.36,
"score_components": {
"author": 0.09,
"engagement": 0.0,
"quality": 0.06000000000000001,
"source": 0.135,
"nlp": 0.05,
"recency": 0.025
},
"scored_at": "2026-03-19T04:08:08.728329",
"import_source": "api_import",
"source_tagged_at": "2026-03-19T04:08:08.728339",
"enriched": true,
"enriched_at": "2026-03-19T04:08:08.728341"
} {
"type": "tweet",
"id": "2034481919438868923",
"url": "https://x.com/jeremyphoward/status/2034481919438868923",
"twitterUrl": "https://twitter.com/jeremyphoward/status/2034481919438868923",
"text": "RT @percyliang: In Marin, we are trying to get really good at scaling laws. We have trained models up to 1e22 FLOPs and have made a predict…",
"source": "Twitter for iPhone",
"retweetCount": 34,
"replyCount": 7,
"likeCount": 277,
"quoteCount": 3,
"viewCount": 22909,
"createdAt": "Thu Mar 19 04:07:43 +0000 2026",
"lang": "en",
"bookmarkCount": 125,
"isReply": false,
"inReplyToId": null,
"conversationId": "2034481919438868923",
"displayTextRange": [
0,
140
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "jeremyphoward",
"url": "https://x.com/jeremyphoward",
"twitterUrl": "https://twitter.com/jeremyphoward",
"id": "175282603",
"name": "Jeremy Howard",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/1279600070145437696/eocLhSLu_normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/175282603/1594860705",
"description": "",
"location": "Brisbane/Queensland, Australia",
"followers": 275198,
"following": 6538,
"status": "",
"canDm": false,
"canMediaTag": false,
"createdAt": "Fri Aug 06 04:58:18 +0000 2010",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 10029,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 2931,
"statusesCount": 65096,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"1734606378331951318"
],
"profile_bio": {
"description": "🇦🇺 Co-founder: @AnswerDotAI/@FastDotAI ;\nPrev: Professor@UQ; Stanford fellow; @kaggle founding president; founder @fastmail/@enlitic/…\nhttps://t.co/16UBFTWzwQ",
"entities": {
"description": {
"hashtags": [],
"symbols": [],
"urls": [
{
"display_url": "jeremy.fast.ai",
"expanded_url": "https://jeremy.fast.ai/",
"indices": [
135,
158
],
"url": "https://t.co/16UBFTWzwQ"
}
],
"user_mentions": [
{
"id_str": "0",
"indices": [
15,
27
],
"name": "",
"screen_name": "AnswerDotAI"
},
{
"id_str": "0",
"indices": [
28,
38
],
"name": "",
"screen_name": "FastDotAI"
},
{
"id_str": "0",
"indices": [
78,
85
],
"name": "",
"screen_name": "kaggle"
},
{
"id_str": "0",
"indices": [
114,
123
],
"name": "",
"screen_name": "fastmail"
},
{
"id_str": "0",
"indices": [
124,
132
],
"name": "",
"screen_name": "enlitic"
}
]
},
"url": {
"urls": [
{
"display_url": "answer.ai",
"expanded_url": "http://answer.ai",
"indices": [
0,
23
],
"url": "https://t.co/3lh0uQCFqf"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {},
"card": null,
"place": {},
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "86481377",
"indices": [
3,
14
],
"name": "Percy Liang",
"screen_name": "percyliang"
}
]
},
"quoted_tweet": null,
"retweeted_tweet": {
"type": "tweet",
"id": "2034367256277533100",
"url": "https://x.com/percyliang/status/2034367256277533100",
"twitterUrl": "https://twitter.com/percyliang/status/2034367256277533100",
"text": "In Marin, we are trying to get really good at scaling laws. We have trained models up to 1e22 FLOPs and have made a prediction of the loss at 1e23 FLOPs, which @WilliamBarrHeld is running. This prediction is preregistered on GitHub, so we'll see in a few days how accurate our prediction was. What we want is not just a single model but a training recipe that scales reliably.",
"source": "Twitter for iPhone",
"retweetCount": 34,
"replyCount": 7,
"likeCount": 277,
"quoteCount": 3,
"viewCount": 22909,
"createdAt": "Wed Mar 18 20:32:05 +0000 2026",
"lang": "en",
"bookmarkCount": 125,
"isReply": false,
"inReplyToId": null,
"conversationId": "2034367256277533100",
"displayTextRange": [
0,
277
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "percyliang",
"url": "https://x.com/percyliang",
"twitterUrl": "https://twitter.com/percyliang",
"id": "86481377",
"name": "Percy Liang",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/1319828397699129346/wjBcgUH0_normal.jpg",
"coverPicture": "",
"description": "",
"location": "Stanford, CA",
"followers": 98271,
"following": 424,
"status": "",
"canDm": false,
"canMediaTag": true,
"createdAt": "Sat Oct 31 07:26:37 +0000 2009",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 2596,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 106,
"statusesCount": 1263,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"1924527490351169964"
],
"profile_bio": {
"description": "professor of computer science @Stanford @stanfordnlp, co-founder of @togethercompute, creator of https://t.co/7R5THVogW2, co-founder of @simile_ai, pianist",
"entities": {
"description": {
"hashtags": [],
"symbols": [],
"urls": [
{
"display_url": "marin.community",
"expanded_url": "http://marin.community",
"indices": [
97,
120
],
"url": "https://t.co/7R5THVogW2"
}
],
"user_mentions": [
{
"id_str": "0",
"indices": [
30,
39
],
"name": "",
"screen_name": "Stanford"
},
{
"id_str": "0",
"indices": [
40,
52
],
"name": "",
"screen_name": "stanfordnlp"
},
{
"id_str": "0",
"indices": [
68,
84
],
"name": "",
"screen_name": "togethercompute"
},
{
"id_str": "0",
"indices": [
136,
146
],
"name": "",
"screen_name": "simile_ai"
}
]
},
"url": {
"urls": [
{
"display_url": "cs.stanford.edu/~pliang/",
"expanded_url": "https://cs.stanford.edu/~pliang/",
"indices": [
0,
23
],
"url": "https://t.co/eDtsxiCvFO"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {
"media": [
{
"display_url": "pic.twitter.com/T2XesRKG1r",
"expanded_url": "https://twitter.com/percyliang/status/2034367256277533100/photo/1",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"orig": {
"faces": []
}
},
"id_str": "2034365543772565504",
"indices": [
278,
301
],
"media_key": "3_2034365543772565504",
"media_results": {
"id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARw7hK7727AACgACHDuGPbUbwawAAA==",
"result": {
"__typename": "ApiMedia",
"id": "QXBpTWVkaWE6DAABCgABHDuErvvbsAAKAAIcO4Y9tRvBrAAA",
"media_key": "3_2034365543772565504"
}
},
"media_url_https": "https://pbs.twimg.com/media/HDuErvvbsAAQ5Yt.jpg",
"original_info": {
"focus_rects": [
{
"h": 2294,
"w": 4096,
"x": 0,
"y": 164
},
{
"h": 2458,
"w": 2458,
"x": 1638,
"y": 0
},
{
"h": 2458,
"w": 2156,
"x": 1940,
"y": 0
},
{
"h": 2458,
"w": 1229,
"x": 2560,
"y": 0
},
{
"h": 2458,
"w": 4096,
"x": 0,
"y": 0
}
],
"height": 2458,
"width": 4096
},
"sizes": {
"large": {
"h": 1229,
"w": 2048
}
},
"type": "photo",
"url": "https://t.co/T2XesRKG1r"
}
]
},
"card": null,
"place": {},
"entities": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": [
{
"id_str": "896776614",
"indices": [
160,
176
],
"name": "Will Held",
"screen_name": "WilliamBarrHeld"
}
]
},
"quoted_tweet": null,
"retweeted_tweet": null,
"isLimitedReply": false,
"article": null
},
"isLimitedReply": false,
"article": null
}