@_akhaliq
RT @HuggingPapers: MemT-1.0: Memory-native foundation models MemTensor introduces a new architecture where persistent memory is part of mo…
Viewing enriched Twitter post
RT @HuggingPapers: MemT-1.0: Memory-native foundation models MemTensor introduces a new architecture where persistent memory is part of mo…
{
"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": "2026-10-20T20:02:20.872830",
"import_source": "api_import",
"source_tagged_at": "2026-10-20T20:02:20.872842",
"enriched": true,
"enriched_at": "2026-10-20T20:02:20.872844"
} {
"type": "tweet",
"id": "2112584354157535401",
"url": "https://x.com/_akhaliq/status/2112584354157535401",
"twitterUrl": "https://twitter.com/_akhaliq/status/2112584354157535401",
"text": "RT @HuggingPapers: MemT-1.0: Memory-native foundation models\n\nMemTensor introduces a new architecture where persistent memory is part of mo…",
"source": "",
"retweetCount": 5,
"replyCount": 4,
"likeCount": 22,
"quoteCount": 1,
"viewCount": 3116,
"createdAt": "Tue Oct 20 16:38:54 +0000 2026",
"lang": "en",
"bookmarkCount": 35,
"isReply": false,
"inReplyToId": null,
"conversationId": "2112584354157535401",
"displayTextRange": [
0,
140
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "_akhaliq",
"url": "https://x.com/_akhaliq",
"twitterUrl": "https://twitter.com/_akhaliq",
"id": "2465283662",
"name": "AK",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/1451191636810092553/kpM5Fe12_normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/2465283662/1610997549",
"description": "",
"location": "",
"followers": 534753,
"following": 3121,
"status": "",
"canDm": true,
"canMediaTag": true,
"createdAt": "Sun Apr 27 00:20:12 +0000 2014",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 38753,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 19733,
"statusesCount": 47646,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"1844746338396770616"
],
"profile_bio": {
"description": "AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo ,submit papers here: https://t.co/UzmYN5XOCi",
"entities": {
"description": {
"urls": [
{
"display_url": "huggingface.co/papers/submit",
"expanded_url": "https://huggingface.co/papers/submit",
"indices": [
96,
119
],
"url": "https://t.co/UzmYN5XOCi"
}
],
"user_mentions": [
{
"id_str": "",
"indices": [
29,
36
],
"name": "",
"screen_name": "Gradio"
},
{
"id_str": "",
"indices": [
46,
58
],
"name": "",
"screen_name": "HuggingFace"
}
]
},
"url": {
"urls": [
{
"display_url": "huggingface.co/akhaliq",
"expanded_url": "https://huggingface.co/akhaliq",
"indices": [
0,
23
],
"url": "https://t.co/q2Qoey80Gx"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {},
"card": null,
"place": {},
"entities": {
"user_mentions": [
{
"id_str": "1906617820122595328",
"indices": [
3,
17
],
"name": "DailyPapers",
"screen_name": "HuggingPapers"
}
]
},
"quoted_tweet": null,
"retweeted_tweet": {
"type": "tweet",
"id": "2112518144237744373",
"url": "https://x.com/HuggingPapers/status/2112518144237744373",
"twitterUrl": "https://twitter.com/HuggingPapers/status/2112518144237744373",
"text": "MemT-1.0: Memory-native foundation models\n\nMemTensor introduces a new architecture where persistent memory is part of model computation, enabling 1.86x inference speedup and 66x storage reduction at 128K history. https://t.co/kU21sHGSPE",
"source": "",
"retweetCount": 5,
"replyCount": 4,
"likeCount": 22,
"quoteCount": 1,
"viewCount": 3116,
"createdAt": "Tue Oct 20 12:15:48 +0000 2026",
"lang": "en",
"bookmarkCount": 35,
"isReply": false,
"inReplyToId": null,
"conversationId": "2112518144237744373",
"displayTextRange": [
0,
212
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "HuggingPapers",
"url": "https://x.com/HuggingPapers",
"twitterUrl": "https://twitter.com/HuggingPapers",
"id": "1906617820122595328",
"name": "DailyPapers",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/1906618607368273920/09C2Z22U_normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/1906617820122595328/1743408239",
"description": "",
"location": "Anywhere",
"followers": 22057,
"following": 4,
"status": "",
"canDm": false,
"canMediaTag": true,
"createdAt": "Mon Mar 31 08:01:39 +0000 2025",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 62,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 3543,
"statusesCount": 7674,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [],
"profile_bio": {
"description": "Tweeting interesting papers submitted at https://t.co/rXX8x0HzXV.\n\nSubmit your own at https://t.co/QhbJKXBd4Q, and link models/datasets/demos to it!",
"entities": {
"description": {
"urls": [
{
"display_url": "huggingface.co/papers",
"expanded_url": "http://huggingface.co/papers",
"indices": [
41,
64
],
"url": "https://t.co/rXX8x0HzXV"
},
{
"display_url": "hf.co/papers/submit",
"expanded_url": "http://hf.co/papers/submit",
"indices": [
86,
109
],
"url": "https://t.co/QhbJKXBd4Q"
}
]
},
"url": {
"urls": [
{
"display_url": "huggingface.co/docs/hub/en/mo…",
"expanded_url": "https://huggingface.co/docs/hub/en/model-release-checklist",
"indices": [
0,
23
],
"url": "https://t.co/rEWlTAkfrC"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {
"media": [
{
"display_url": "pic.x.com/kU21sHGSPE",
"expanded_url": "https://x.com/HuggingPapers/status/2112518144237744373/photo/1",
"ext_master_playlist_only": [],
"ext_media_availability": {
"status": "Available"
},
"ext_playlists": [],
"features": {
"large": {
"faces": [
{
"h": 76,
"w": 76,
"x": 1081,
"y": 35
}
]
},
"orig": {
"faces": [
{
"h": 76,
"w": 76,
"x": 1081,
"y": 35
}
]
}
},
"id_str": "2112518140680876033",
"indices": [
213,
236
],
"media_key": "3_2112518140680876033",
"media_results": {
"id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAAR1RLA5s2jABCgACHVEsD0DbsPUAAA==",
"result": {
"__typename": "ApiMedia",
"id": "QXBpTWVkaWE6DAABCgABHVEsDmzaMAEKAAIdUSwPQNuw9QAA",
"media_key": "3_2112518140680876033"
}
},
"media_url_https": "https://pbs.twimg.com/media/HVEsDmzaMAETcZ2.jpg",
"original_info": {
"focus_rects": [
{
"h": 960,
"w": 1714,
"x": 0,
"y": 0
},
{
"h": 960,
"w": 960,
"x": 0,
"y": 0
},
{
"h": 960,
"w": 842,
"x": 0,
"y": 0
},
{
"h": 960,
"w": 480,
"x": 0,
"y": 0
},
{
"h": 960,
"w": 1920,
"x": 0,
"y": 0
}
],
"height": 960,
"width": 1920
},
"sizes": {
"large": {
"h": 960,
"w": 1920
}
},
"type": "photo",
"url": "https://t.co/kU21sHGSPE"
}
]
},
"card": null,
"place": {},
"entities": {},
"quoted_tweet": null,
"retweeted_tweet": null,
"isLimitedReply": false,
"communityInfo": null,
"article": null
},
"isLimitedReply": false,
"communityInfo": null,
"article": null
}