Viewing enriched Twitter post
A new mind-blowing finding: causal prediction alone is sufficient for strong visual learning, no need for any fancy reconstruction, masking, or contrastive loss In this paper NEPA, instead of reconstructing pixels, they train a vision model to autoregressively predict the next patch embedding and that alone yields strong visual understanding, matching or beating DINO and JEPA with a far simpler setup now trending on alphaXiv 📈
{
"media": [
{
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2002820186706252234/media_0.jpg?",
"media_url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2002820186706252234/media_0.jpg?",
"type": "photo",
"filename": "media_0.jpg"
}
],
"processed_at": "2025-12-22T04:42:53.721220",
"pipeline_version": "2.0"
}{
"type": "tweet",
"id": "2002820186706252234",
"url": "https://x.com/askalphaxiv/status/2002820186706252234",
"twitterUrl": "https://twitter.com/askalphaxiv/status/2002820186706252234",
"text": "A new mind-blowing finding:\ncausal prediction alone is sufficient for strong visual learning, no need for any fancy reconstruction, masking, or contrastive loss\n\nIn this paper NEPA, instead of reconstructing pixels, they train a vision model to autoregressively predict the next patch embedding\n\nand that alone yields strong visual understanding, matching or beating DINO and JEPA with a far simpler setup\n\nnow trending on alphaXiv 📈",
"source": "Twitter for iPhone",
"retweetCount": 31,
"replyCount": 4,
"likeCount": 178,
"quoteCount": 1,
"viewCount": 11492,
"createdAt": "Sun Dec 21 19:15:17 +0000 2025",
"lang": "en",
"bookmarkCount": 145,
"isReply": false,
"inReplyToId": null,
"conversationId": "2002820186706252234",
"displayTextRange": [
0,
279
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "askalphaxiv",
"url": "https://x.com/askalphaxiv",
"twitterUrl": "https://twitter.com/askalphaxiv",
"id": "1722422481942884352",
"name": "alphaXiv",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/1866663567417806848/-Vj32Dq-_normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/1722422481942884352/1738960325",
"description": "",
"location": "",
"followers": 27538,
"following": 41,
"status": "",
"canDm": true,
"canMediaTag": true,
"createdAt": "Thu Nov 09 01:15:23 +0000 2023",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 2678,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 704,
"statusesCount": 1406,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"1993399460089806936"
],
"profile_bio": {
"description": "High fidelity research",
"entities": {
"description": {},
"url": {
"urls": [
{
"display_url": "alphaxiv.org",
"expanded_url": "http://alphaxiv.org",
"indices": [
0,
23
],
"url": "https://t.co/7lQNcnzeZ7"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {
"media": [
{
"allow_download_status": {
"allow_download": true
},
"display_url": "pic.twitter.com/0wPUuwS8US",
"expanded_url": "https://twitter.com/askalphaxiv/status/2002820186706252234/photo/1",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"h": 167,
"w": 167,
"x": 115,
"y": 1102
}
]
},
"orig": {
"faces": [
{
"h": 167,
"w": 167,
"x": 115,
"y": 1102
}
]
}
},
"id_str": "2002819865040846848",
"indices": [
280,
303
],
"media_key": "3_2002819865040846848",
"media_results": {
"id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARvLcg5M2wAACgACG8tyWTGbkcoAAA==",
"result": {
"__typename": "ApiMedia",
"id": "QXBpTWVkaWE6DAABCgABG8tyDkzbAAAKAAIby3JZMZuRygAA",
"media_key": "3_2002819865040846848"
}
},
"media_url_https": "https://pbs.twimg.com/media/G8tyDkzbAAA6FaN.jpg",
"original_info": {
"focus_rects": [
{
"h": 836,
"w": 1492,
"x": 0,
"y": 0
},
{
"h": 1492,
"w": 1492,
"x": 0,
"y": 0
},
{
"h": 1636,
"w": 1435,
"x": 57,
"y": 0
},
{
"h": 1636,
"w": 818,
"x": 674,
"y": 0
},
{
"h": 1636,
"w": 1492,
"x": 0,
"y": 0
}
],
"height": 1636,
"width": 1492
},
"sizes": {
"large": {
"h": 1636,
"w": 1492
}
},
"type": "photo",
"url": "https://t.co/0wPUuwS8US"
}
]
},
"card": null,
"place": {},
"entities": {},
"quoted_tweet": null,
"retweeted_tweet": null,
"isLimitedReply": false,
"article": null
}