@percyliang
Here's the GitHub issue with all the details: https://t.co/fYre7BLjv6 This is part of our Delphi suite, a "modernized" version of Pythia: https://t.co/9G6NiADnMo
🐦 Twitter Post Details
Viewing enriched Twitter post
📊 Media Metadata
{
"media": [
{
"type": "photo",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2034367259150602676/media_0.jpg",
"filename": "media_0.jpg"
}
],
"processed_at": "2026-03-18T20:37:49.690955",
"pipeline_version": "2.0"
}🔧 Raw API Response
{
"type": "tweet",
"id": "2034367259150602676",
"url": "https://x.com/percyliang/status/2034367259150602676",
"twitterUrl": "https://twitter.com/percyliang/status/2034367259150602676",
"text": "Here's the GitHub issue with all the details:\nhttps://t.co/fYre7BLjv6\nThis is part of our Delphi suite, a \"modernized\" version of Pythia:\nhttps://t.co/9G6NiADnMo",
"source": "Twitter for iPhone",
"retweetCount": 0,
"replyCount": 0,
"likeCount": 0,
"quoteCount": 0,
"viewCount": 186,
"createdAt": "Wed Mar 18 20:32:05 +0000 2026",
"lang": "en",
"bookmarkCount": 0,
"isReply": true,
"inReplyToId": "2034367256277533100",
"conversationId": "2034367256277533100",
"displayTextRange": [
0,
161
],
"inReplyToUserId": "86481377",
"inReplyToUsername": "percyliang",
"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": 98224,
"following": 424,
"status": "",
"canDm": false,
"canMediaTag": true,
"createdAt": "Sat Oct 31 07:26:37 +0000 2009",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 2595,
"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": {},
"card": {
"binding_values": [
{
"key": "photo_image_full_size_large",
"value": {
"image_value": {
"height": 419,
"url": "https://pbs.twimg.com/card_img/2034366738494808064/XgpItrJv?format=jpg&name=800x419",
"width": 800
}
}
},
{
"key": "thumbnail_image",
"value": {
"image_value": {
"height": 200,
"url": "https://pbs.twimg.com/card_img/2034366738494808064/XgpItrJv?format=jpg&name=400x400",
"width": 400
}
}
},
{
"key": "description",
"value": {
"string_value": "Pythia has been a valuable resource for researchers. It has 16 LMs from 70M to 12B parameters trained on the same data in the same order with intermediate checkpoints. We'd like to create a mor..."
}
},
{
"key": "domain",
"value": {
"string_value": "github.com"
}
},
{
"key": "thumbnail_image_large",
"value": {
"image_value": {
"height": 300,
"url": "https://pbs.twimg.com/card_img/2034366738494808064/XgpItrJv?format=jpg&name=600x600",
"width": 600
}
}
},
{
"key": "summary_photo_image_small",
"value": {
"image_value": {
"height": 202,
"url": "https://pbs.twimg.com/card_img/2034366738494808064/XgpItrJv?format=jpg&name=386x202",
"width": 386
}
}
},
{
"key": "thumbnail_image_original",
"value": {
"image_value": {
"height": 600,
"url": "https://pbs.twimg.com/card_img/2034366738494808064/XgpItrJv?format=jpg&name=orig",
"width": 1200
}
}
},
{
"key": "site",
"value": {
"scribe_key": "publisher_id",
"user_value": {
"id_str": "13334762",
"path": []
}
}
},
{
"key": "photo_image_full_size_small",
"value": {
"image_value": {
"height": 202,
"url": "https://pbs.twimg.com/card_img/2034366738494808064/XgpItrJv?format=jpg&name=386x202",
"width": 386
}
}
},
{
"key": "summary_photo_image_large",
"value": {
"image_value": {
"height": 419,
"url": "https://pbs.twimg.com/card_img/2034366738494808064/XgpItrJv?format=jpg&name=800x419",
"width": 800
}
}
},
{
"key": "thumbnail_image_small",
"value": {
"image_value": {
"height": 72,
"url": "https://pbs.twimg.com/card_img/2034366738494808064/XgpItrJv?format=jpg&name=144x144",
"width": 144
}
}
},
{
"key": "thumbnail_image_x_large",
"value": {
"image_value": {
"height": 600,
"url": "https://pbs.twimg.com/card_img/2034366738494808064/XgpItrJv?format=png&name=2048x2048_2_exp",
"width": 1200
}
}
},
{
"key": "photo_image_full_size_original",
"value": {
"image_value": {
"height": 600,
"url": "https://pbs.twimg.com/card_img/2034366738494808064/XgpItrJv?format=jpg&name=orig",
"width": 1200
}
}
},
{
"key": "photo_image_full_size_alt_text",
"value": {
"string_value": "Pythia has been a valuable resource for researchers. It has 16 LMs from 70M to 12B parameters trained on the same data in the same order with intermediate checkpoints. We'd like to create a more mo..."
}
},
{
"key": "vanity_url",
"value": {
"scribe_key": "vanity_url",
"string_value": "github.com"
}
},
{
"key": "photo_image_full_size",
"value": {
"image_value": {
"height": 314,
"url": "https://pbs.twimg.com/card_img/2034366738494808064/XgpItrJv?format=jpg&name=600x314",
"width": 600
}
}
},
{
"key": "summary_photo_image_alt_text",
"value": {
"string_value": "Pythia has been a valuable resource for researchers. It has 16 LMs from 70M to 12B parameters trained on the same data in the same order with intermediate checkpoints. We'd like to create a more mo..."
}
},
{
"key": "thumbnail_image_color",
"value": {
"image_color_value": {
"palette": [
{
"percentage": 88.55,
"rgb": {
"blue": 255,
"green": 255,
"red": 255
}
},
{
"percentage": 2.42,
"rgb": {
"blue": 76,
"green": 71,
"red": 64
}
},
{
"percentage": 1.64,
"rgb": {
"blue": 166,
"green": 115,
"red": 53
}
},
{
"percentage": 1.37,
"rgb": {
"blue": 39,
"green": 76,
"red": 228
}
},
{
"percentage": 1.31,
"rgb": {
"blue": 128,
"green": 149,
"red": 239
}
}
]
}
}
},
{
"key": "title",
"value": {
"string_value": "Delphi: Create a modern scaling suite (\"modernized Pythia\") · Issue #1337 · marin-community/marin"
}
},
{
"key": "summary_photo_image_color",
"value": {
"image_color_value": {
"palette": [
{
"percentage": 88.55,
"rgb": {
"blue": 255,
"green": 255,
"red": 255
}
},
{
"percentage": 2.42,
"rgb": {
"blue": 76,
"green": 71,
"red": 64
}
},
{
"percentage": 1.64,
"rgb": {
"blue": 166,
"green": 115,
"red": 53
}
},
{
"percentage": 1.37,
"rgb": {
"blue": 39,
"green": 76,
"red": 228
}
},
{
"percentage": 1.31,
"rgb": {
"blue": 128,
"green": 149,
"red": 239
}
}
]
}
}
},
{
"key": "summary_photo_image_x_large",
"value": {
"image_value": {
"height": 600,
"url": "https://pbs.twimg.com/card_img/2034366738494808064/XgpItrJv?format=png&name=2048x2048_2_exp",
"width": 1200
}
}
},
{
"key": "summary_photo_image",
"value": {
"image_value": {
"height": 314,
"url": "https://pbs.twimg.com/card_img/2034366738494808064/XgpItrJv?format=jpg&name=600x314",
"width": 600
}
}
},
{
"key": "photo_image_full_size_color",
"value": {
"image_color_value": {
"palette": [
{
"percentage": 88.55,
"rgb": {
"blue": 255,
"green": 255,
"red": 255
}
},
{
"percentage": 2.42,
"rgb": {
"blue": 76,
"green": 71,
"red": 64
}
},
{
"percentage": 1.64,
"rgb": {
"blue": 166,
"green": 115,
"red": 53
}
},
{
"percentage": 1.37,
"rgb": {
"blue": 39,
"green": 76,
"red": 228
}
},
{
"percentage": 1.31,
"rgb": {
"blue": 128,
"green": 149,
"red": 239
}
}
]
}
}
},
{
"key": "photo_image_full_size_x_large",
"value": {
"image_value": {
"height": 600,
"url": "https://pbs.twimg.com/card_img/2034366738494808064/XgpItrJv?format=png&name=2048x2048_2_exp",
"width": 1200
}
}
},
{
"key": "card_url",
"value": {
"scribe_key": "card_url",
"string_value": "https://t.co/fYre7BLjv6"
}
},
{
"key": "summary_photo_image_original",
"value": {
"image_value": {
"height": 600,
"url": "https://pbs.twimg.com/card_img/2034366738494808064/XgpItrJv?format=jpg&name=orig",
"width": 1200
}
}
}
],
"card_platform": {
"platform": {
"audience": {
"name": "production"
},
"device": {
"name": "iPhone",
"version": "13"
}
}
},
"name": "summary_large_image",
"url": "https://t.co/fYre7BLjv6",
"user_refs_results": [
{
"rest_id": "13334762",
"result": {
"__typename": "User",
"action_counts": {
"favorites_count": 8651
},
"avatar": {
"image_url": "https://pbs.twimg.com/profile_images/1633247750010830848/8zfRrYjA_normal.png"
},
"banner": {
"image_url": "https://pbs.twimg.com/profile_banners/13334762/1765308302"
},
"core": {
"created_at": "Mon Feb 11 04:41:50 +0000 2008",
"name": "GitHub",
"screen_name": "github"
},
"dm_permissions": {
"can_dm": false
},
"exclusive_tweet_following": false,
"follow_request_sent": false,
"identity_profile_labels_highlighted_label": {},
"location": {
"location": "San Francisco, CA"
},
"media_permissions": {
"can_media_tag": true
},
"notifications_settings": {
"notifications_enabled": false
},
"pinned_items": {
"tweet_ids_str": [
"2019093909981257849"
]
},
"privacy": {
"protected": false,
"suspended": false
},
"private_super_following": false,
"profile_bio": {
"description": "The AI-powered developer platform to build, scale, and deliver secure software.",
"entities": {
"description": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"url": {
"urls": [
{
"display_url": "github.com",
"expanded_url": "http://github.com",
"indices": [
0,
23
],
"url": "https://t.co/bbJgfyzKzp"
}
]
}
}
},
"profile_image_shape": "Square",
"profile_metadata": {
"profile_interstitial_type": "",
"profile_link_color": "981CEB"
},
"profile_translation": {
"translator_type_enum": "None"
},
"properties": {
"has_extended_profile": true
},
"relationship_counts": {
"followers": 2623776,
"following": 333
},
"relationship_perspectives": {
"blocked_by": false,
"blocking": false,
"followed_by": false,
"following": false,
"live_following": false,
"muting": false
},
"rest_id": "13334762",
"smart_blocked_by": false,
"smart_blocking": false,
"super_follow_eligible": false,
"super_followed_by": false,
"super_following": false,
"tweet_counts": {
"media_tweets": 2927,
"tweets": 10432
},
"verification": {
"is_blue_verified": true,
"verified": false,
"verified_type": "Business"
},
"website": {
"url": "https://t.co/bbJgfyzKzp"
}
}
}
]
},
"place": {},
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "github.com/marin-communit…",
"expanded_url": "https://github.com/marin-community/marin/issues/1337",
"indices": [
46,
69
],
"url": "https://t.co/fYre7BLjv6"
},
{
"display_url": "x.com/percyliang/sta…",
"expanded_url": "https://x.com/percyliang/status/1928475590476406822",
"indices": [
138,
161
],
"url": "https://t.co/9G6NiADnMo"
}
],
"user_mentions": []
},
"quoted_tweet": {
"type": "tweet",
"id": "1928475590476406822",
"url": "https://x.com/percyliang/status/1928475590476406822",
"twitterUrl": "https://twitter.com/percyliang/status/1928475590476406822",
"text": "For trying to understanding LMs deeply, @AiEleuther’s Pythia has been an invaluable resource: 16 LMs (70M to 12B parameters) trained on the same data (The Pile) in the same order, with intermediate checkpoints. It’s been two years and it’s time for a refresh.",
"source": "Twitter for iPhone",
"retweetCount": 46,
"replyCount": 8,
"likeCount": 437,
"quoteCount": 5,
"viewCount": 50806,
"createdAt": "Fri May 30 15:36:24 +0000 2025",
"lang": "en",
"bookmarkCount": 275,
"isReply": false,
"inReplyToId": null,
"conversationId": "1928475590476406822",
"displayTextRange": [
0,
260
],
"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": 98224,
"following": 424,
"status": "",
"canDm": false,
"canMediaTag": true,
"createdAt": "Sat Oct 31 07:26:37 +0000 2009",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 2595,
"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": {},
"card": null,
"place": {},
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1561918448766173185",
"indices": [
40,
51
],
"name": "EleutherAI",
"screen_name": "AiEleuther"
}
]
},
"quoted_tweet": null,
"retweeted_tweet": null,
"isLimitedReply": false,
"article": null
},
"retweeted_tweet": null,
"isLimitedReply": false,
"article": null
}