@NielsRogge
Tried the viral poster-skill with Claude Code on the trending Moonshot paper :) Not too bad! https://t.co/I8lb0aUrbT
π¦ Twitter Post Details
Viewing enriched Twitter post
π Media Metadata
{
"media": [
{
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2033902019769938152/media_0.jpg",
"media_url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2033902019769938152/media_0.jpg",
"type": "photo",
"filename": "media_0.jpg"
}
],
"processed_at": "2026-03-17T14:06:58.650705",
"pipeline_version": "2.0"
}π§ Raw API Response
{
"type": "tweet",
"id": "2033902019769938152",
"url": "https://x.com/NielsRogge/status/2033902019769938152",
"twitterUrl": "https://twitter.com/NielsRogge/status/2033902019769938152",
"text": "Tried the viral poster-skill with Claude Code on the trending Moonshot paper :)\n\nNot too bad! https://t.co/I8lb0aUrbT",
"source": "Twitter for iPhone",
"retweetCount": 3,
"replyCount": 2,
"likeCount": 10,
"quoteCount": 0,
"viewCount": 1226,
"createdAt": "Tue Mar 17 13:43:24 +0000 2026",
"lang": "en",
"bookmarkCount": 11,
"isReply": false,
"inReplyToId": null,
"conversationId": "2033902019769938152",
"displayTextRange": [
0,
93
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "NielsRogge",
"url": "https://x.com/NielsRogge",
"twitterUrl": "https://twitter.com/NielsRogge",
"id": "133818617",
"name": "Niels Rogge",
"isVerified": false,
"isBlueVerified": false,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/1828883496066060288/n0OUAXhz_normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/133818617/1636026056",
"description": "",
"location": "Belgium",
"followers": 18806,
"following": 721,
"status": "",
"canDm": true,
"canMediaTag": false,
"createdAt": "Fri Apr 16 18:18:57 +0000 2010",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 1764,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 686,
"statusesCount": 2950,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"1575416431793119232"
],
"profile_bio": {
"description": "ML Engineer @ML6team @huggingface. @KU_Leuven grad. General interest in machine learning, deep learning. Making AI more accessible for everyone!",
"entities": {
"description": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": [
{
"id_str": "0",
"indices": [
12,
20
],
"name": "",
"screen_name": "ML6team"
},
{
"id_str": "0",
"indices": [
21,
33
],
"name": "",
"screen_name": "huggingface"
},
{
"id_str": "0",
"indices": [
35,
45
],
"name": "",
"screen_name": "KU_Leuven"
}
]
},
"url": {
"urls": [
{
"display_url": "nielsrogge.github.io",
"expanded_url": "http://nielsrogge.github.io",
"indices": [
0,
23
],
"url": "https://t.co/5ZROAxgOnO"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {
"media": [
{
"display_url": "pic.twitter.com/I8lb0aUrbT",
"expanded_url": "https://twitter.com/NielsRogge/status/2033902019769938152/photo/1",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"orig": {
"faces": []
}
},
"id_str": "2033901898210619393",
"indices": [
94,
117
],
"media_key": "3_2033901898210619393",
"media_results": {
"id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARw53wAW1jABCgACHDnfHGRWMOgAAA==",
"result": {
"__typename": "ApiMedia",
"id": "QXBpTWVkaWE6DAABCgABHDnfABbWMAEKAAIcOd8cZFYw6AAA",
"media_key": "3_2033901898210619393"
}
},
"media_url_https": "https://pbs.twimg.com/media/HDnfABbWMAEmkTI.jpg",
"original_info": {
"focus_rects": [
{
"h": 1483,
"w": 2648,
"x": 0,
"y": 0
},
{
"h": 1972,
"w": 1972,
"x": 536,
"y": 0
},
{
"h": 1972,
"w": 1730,
"x": 657,
"y": 0
},
{
"h": 1972,
"w": 986,
"x": 1029,
"y": 0
},
{
"h": 1972,
"w": 2648,
"x": 0,
"y": 0
}
],
"height": 1972,
"width": 2648
},
"sizes": {
"large": {
"h": 1525,
"w": 2048
}
},
"type": "photo",
"url": "https://t.co/I8lb0aUrbT"
}
]
},
"card": null,
"place": {},
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"quoted_tweet": {
"type": "tweet",
"id": "2033378587878072424",
"url": "https://x.com/Kimi_Moonshot/status/2033378587878072424",
"twitterUrl": "https://twitter.com/Kimi_Moonshot/status/2033378587878072424",
"text": "Introducing π¨ππππππππ πΉππππ
ππππ: Rethinking depth-wise aggregation.\n\nResidual connections have long relied on fixed, uniform accumulation. Inspired by the duality of time and depth, we introduce Attention Residuals, replacing standard depth-wise recurrence with learned, input-dependent attention over preceding layers.\n\nπΉ Enables networks to selectively retrieve past representations, naturally mitigating dilution and hidden-state growth.\nπΉ Introduces Block AttnRes, partitioning layers into compressed blocks to make cross-layer attention practical at scale.\nπΉ Serves as an efficient drop-in replacement, demonstrating a 1.25x compute advantage with negligible (<2%) inference latency overhead.\nπΉ Validated on the Kimi Linear architecture (48B total, 3B activated parameters), delivering consistent downstream performance gains.\n\nπFull report:\nhttps://t.co/u3EHICG05h",
"source": "Twitter for iPhone",
"retweetCount": 1905,
"replyCount": 293,
"likeCount": 12622,
"quoteCount": 466,
"viewCount": 4350775,
"createdAt": "Mon Mar 16 03:03:28 +0000 2026",
"lang": "en",
"bookmarkCount": 9425,
"isReply": false,
"inReplyToId": null,
"conversationId": "2033378587878072424",
"displayTextRange": [
0,
261
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "Kimi_Moonshot",
"url": "https://x.com/Kimi_Moonshot",
"twitterUrl": "https://twitter.com/Kimi_Moonshot",
"id": "1863959670169501696",
"name": "Kimi.ai",
"isVerified": false,
"isBlueVerified": false,
"verifiedType": "Business",
"profilePicture": "https://pbs.twimg.com/profile_images/1910294000927645696/QseOV0uF_normal.png",
"coverPicture": "https://pbs.twimg.com/profile_banners/1863959670169501696/1733238156",
"description": "",
"location": "",
"followers": 132945,
"following": 132,
"status": "",
"canDm": false,
"canMediaTag": true,
"createdAt": "Tue Dec 03 14:54:14 +0000 2024",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 256,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 112,
"statusesCount": 299,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"2016024049869324599"
],
"profile_bio": {
"description": "Built by Moonshot AI to empower everyone to be superhuman. β‘οΈAPI: https://t.co/ggYlFf809H\n@KimiProduct where we share cool use cases and prompts.",
"entities": {
"description": {
"hashtags": [],
"symbols": [],
"urls": [
{
"display_url": "platform.moonshot.ai",
"expanded_url": "https://platform.moonshot.ai/",
"indices": [
66,
89
],
"url": "https://t.co/ggYlFf809H"
}
],
"user_mentions": [
{
"id_str": "0",
"indices": [
90,
102
],
"name": "",
"screen_name": "KimiProduct"
}
]
},
"url": {
"urls": [
{
"display_url": "kimi.com",
"expanded_url": "https://www.kimi.com/",
"indices": [
0,
23
],
"url": "https://t.co/mlnKFmsdLe"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {
"media": [
{
"allow_download_status": {
"allow_download": true
},
"display_url": "pic.twitter.com/gcWyzhZVc0",
"expanded_url": "https://twitter.com/Kimi_Moonshot/status/2033378587878072424/photo/1",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"orig": {
"faces": []
}
},
"id_str": "2033378144850530304",
"indices": [
262,
285
],
"media_key": "3_2033378144850530304",
"media_results": {
"id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARw4AqZB29AACgACHDgDDWhboGgAAA==",
"result": {
"__typename": "ApiMedia",
"id": "QXBpTWVkaWE6DAABCgABHDgCpkHb0AAKAAIcOAMNaFugaAAA",
"media_key": "3_2033378144850530304"
}
},
"media_url_https": "https://pbs.twimg.com/media/HDgCpkHb0AA0a7_.jpg",
"original_info": {
"focus_rects": [
{
"h": 553,
"w": 987,
"x": 0,
"y": 0
},
{
"h": 987,
"w": 987,
"x": 0,
"y": 0
},
{
"h": 1125,
"w": 987,
"x": 0,
"y": 0
},
{
"h": 1280,
"w": 640,
"x": 159,
"y": 0
},
{
"h": 1280,
"w": 987,
"x": 0,
"y": 0
}
],
"height": 1280,
"width": 987
},
"sizes": {
"large": {
"h": 1280,
"w": 987
}
},
"type": "photo",
"url": "https://t.co/gcWyzhZVc0"
}
]
},
"card": null,
"place": {},
"entities": {
"hashtags": [],
"symbols": [],
"urls": [
{
"display_url": "github.com/MoonshotAI/Attβ¦",
"expanded_url": "https://github.com/MoonshotAI/Attention-Residuals/blob/master/Attention_Residuals.pdf",
"indices": [
847,
870
],
"url": "https://t.co/u3EHICG05h"
}
],
"user_mentions": []
},
"quoted_tweet": null,
"retweeted_tweet": null,
"isLimitedReply": false,
"article": null
},
"retweeted_tweet": null,
"isLimitedReply": false,
"article": null
}