@omarsar0
RT @omarsar0: New research from Yann LeCun and collaborators at NYU. It's a really good read for anyone working on efficient Transformer iā¦
š¦ Twitter Post Details
Viewing enriched Twitter post
š Media Metadata
{
"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": "2026-03-08T14:25:57.230643",
"import_source": "api_import",
"source_tagged_at": "2026-03-08T14:25:57.230652",
"enriched": true,
"enriched_at": "2026-03-08T14:25:57.230654"
}š§ Raw API Response
{
"type": "tweet",
"id": "2030584795139584294",
"url": "https://x.com/omarsar0/status/2030584795139584294",
"twitterUrl": "https://twitter.com/omarsar0/status/2030584795139584294",
"text": "RT @omarsar0: New research from Yann LeCun and collaborators at NYU.\n\nIt's a really good read for anyone working on efficient Transformer iā¦",
"source": "Twitter for iPhone",
"retweetCount": 37,
"replyCount": 15,
"likeCount": 243,
"quoteCount": 1,
"viewCount": 14896,
"createdAt": "Sun Mar 08 10:01:56 +0000 2026",
"lang": "en",
"bookmarkCount": 253,
"isReply": false,
"inReplyToId": null,
"conversationId": "2030584795139584294",
"displayTextRange": [
0,
140
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"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": "DAIR.AI Academy",
"followers": 292680,
"following": 779,
"status": "",
"canDm": true,
"canMediaTag": true,
"createdAt": "Fri Sep 04 12:59:26 +0000 2015",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 34982,
"hasCustomTimelines": true,
"isTranslator": true,
"mediaCount": 4541,
"statusesCount": 17422,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"2030403147588604376"
],
"profile_bio": {
"description": "Building @dair_ai ā¢ Prev: Meta AI, Elastic, PhD ā¢ New AI learning portal: https://t.co/1e8RZKs4uX",
"entities": {
"description": {
"hashtags": [],
"symbols": [],
"urls": [
{
"display_url": "academy.dair.ai",
"expanded_url": "https://academy.dair.ai/",
"indices": [
74,
97
],
"url": "https://t.co/1e8RZKs4uX"
}
],
"user_mentions": [
{
"id_str": "0",
"indices": [
9,
17
],
"name": "",
"screen_name": "dair_ai"
}
]
},
"url": {
"urls": [
{
"display_url": "dair.ai",
"expanded_url": "https://www.dair.ai/",
"indices": [
0,
23
],
"url": "https://t.co/XQto5ypSIk"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {},
"card": null,
"place": {},
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"indices": [
3,
12
],
"name": "elvis",
"screen_name": "omarsar0"
}
]
},
"quoted_tweet": null,
"retweeted_tweet": {
"type": "tweet",
"id": "2030403147588604376",
"url": "https://x.com/omarsar0/status/2030403147588604376",
"twitterUrl": "https://twitter.com/omarsar0/status/2030403147588604376",
"text": "New research from Yann LeCun and collaborators at NYU.\n\nIt's a really good read for anyone working on efficient Transformer inference.\n\nThe paper dissects two recurring phenomena in Transformer language models: massive activations (where a few tokens exhibit extreme outlier values, and attention sinks (where certain tokens attract disproportionate attention regardless of semantic relevance).\n\nThey show the co-occurrence is largely an architectural artifact of pre-norm design, not a fundamental property.\n\nMassive activations function as implicit model parameters. Attention sinks modulate outputs locally.\n\nWhy does it matter?\n\nThese phenomena directly impact quantization, pruning, and KV-cache management.\n\nUnderstanding their root cause could enable better engineering decisions for efficient inference at scale.\n\nPaper: https://t.co/wfzeDpfu4x",
"source": "Twitter for iPhone",
"retweetCount": 37,
"replyCount": 15,
"likeCount": 243,
"quoteCount": 1,
"viewCount": 14896,
"createdAt": "Sat Mar 07 22:00:08 +0000 2026",
"lang": "en",
"bookmarkCount": 253,
"isReply": false,
"inReplyToId": null,
"conversationId": "2030403147588604376",
"displayTextRange": [
0,
274
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"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": "DAIR.AI Academy",
"followers": 292680,
"following": 779,
"status": "",
"canDm": true,
"canMediaTag": true,
"createdAt": "Fri Sep 04 12:59:26 +0000 2015",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 34982,
"hasCustomTimelines": true,
"isTranslator": true,
"mediaCount": 4541,
"statusesCount": 17422,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"2030403147588604376"
],
"profile_bio": {
"description": "Building @dair_ai ā¢ Prev: Meta AI, Elastic, PhD ā¢ New AI learning portal: https://t.co/1e8RZKs4uX",
"entities": {
"description": {
"hashtags": [],
"symbols": [],
"urls": [
{
"display_url": "academy.dair.ai",
"expanded_url": "https://academy.dair.ai/",
"indices": [
74,
97
],
"url": "https://t.co/1e8RZKs4uX"
}
],
"user_mentions": [
{
"id_str": "0",
"indices": [
9,
17
],
"name": "",
"screen_name": "dair_ai"
}
]
},
"url": {
"urls": [
{
"display_url": "dair.ai",
"expanded_url": "https://www.dair.ai/",
"indices": [
0,
23
],
"url": "https://t.co/XQto5ypSIk"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {
"media": [
{
"display_url": "pic.twitter.com/znwYUDUMU4",
"expanded_url": "https://twitter.com/omarsar0/status/2030403147588604376/photo/1",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"orig": {
"faces": []
}
},
"id_str": "2030403142828105728",
"indices": [
275,
298
],
"media_key": "3_2030403142828105728",
"media_results": {
"id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARwtcOafGyAACgACHC1w57rakdgAAA==",
"result": {
"__typename": "ApiMedia",
"id": "QXBpTWVkaWE6DAABCgABHC1w5p8bIAAKAAIcLXDnutqR2AAA",
"media_key": "3_2030403142828105728"
}
},
"media_url_https": "https://pbs.twimg.com/media/HC1w5p8bIAAK96g.jpg",
"original_info": {
"focus_rects": [
{
"h": 902,
"w": 1610,
"x": 0,
"y": 0
},
{
"h": 1610,
"w": 1610,
"x": 0,
"y": 0
},
{
"h": 1784,
"w": 1565,
"x": 0,
"y": 0
},
{
"h": 1784,
"w": 892,
"x": 133,
"y": 0
},
{
"h": 1784,
"w": 1610,
"x": 0,
"y": 0
}
],
"height": 1784,
"width": 1610
},
"sizes": {
"large": {
"h": 1784,
"w": 1610
}
},
"type": "photo",
"url": "https://t.co/znwYUDUMU4"
}
]
},
"card": null,
"place": {},
"entities": {
"hashtags": [],
"symbols": [],
"urls": [
{
"display_url": "arxiv.org/abs/2603.05498",
"expanded_url": "https://arxiv.org/abs/2603.05498",
"indices": [
829,
852
],
"url": "https://t.co/wfzeDpfu4x"
}
],
"user_mentions": []
},
"quoted_tweet": null,
"retweeted_tweet": null,
"isLimitedReply": false,
"article": null
},
"isLimitedReply": false,
"article": null
}