@Teknium1
Nous’ latest blog on thinning efficiency across models was cited just two days after its posting 🤗 Check that blog out here: https://t.co/aeBjRPR22h https://t.co/6zFLbq3lcu
🐦 Twitter Post Details
Viewing enriched Twitter post
📊 Media Metadata
{
"media": [
{
"type": "photo",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1957677095578136990/media_0.jpg?",
"filename": "media_0.jpg"
},
{
"type": "photo",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1957677095578136990/media_1.png?",
"filename": "media_1.png"
}
],
"processed_at": "2025-08-19T07:23:15.911205",
"pipeline_version": "2.0"
}🔧 Raw API Response
{
"type": "tweet",
"id": "1957677095578136990",
"url": "https://x.com/Teknium1/status/1957677095578136990",
"twitterUrl": "https://twitter.com/Teknium1/status/1957677095578136990",
"text": "Nous’ latest blog on thinning efficiency across models was cited just two days after its posting 🤗\n\nCheck that blog out here: https://t.co/aeBjRPR22h https://t.co/6zFLbq3lcu",
"source": "Twitter for iPhone",
"retweetCount": 1,
"replyCount": 5,
"likeCount": 28,
"quoteCount": 0,
"viewCount": 3435,
"createdAt": "Tue Aug 19 05:32:46 +0000 2025",
"lang": "en",
"bookmarkCount": 9,
"isReply": false,
"inReplyToId": null,
"conversationId": "1957677095578136990",
"displayTextRange": [
0,
149
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "Teknium1",
"url": "https://x.com/Teknium1",
"twitterUrl": "https://twitter.com/Teknium1",
"id": "1365020011123773442",
"name": "Teknium (e/λ)",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/1642401912648777728/2KFikPsE_normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/1365020011123773442/1679544051",
"description": "",
"location": "USA",
"followers": 49483,
"following": 4484,
"status": "",
"canDm": true,
"canMediaTag": true,
"createdAt": "Thu Feb 25 19:25:11 +0000 2021",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 107783,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 2648,
"statusesCount": 42714,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {
"label": {
"badge": {
"url": "https://pbs.twimg.com/profile_images/1816254738234761216/TX7TW-Mp_bigger.jpg"
},
"description": "Nous Research",
"url": {
"url": "https://twitter.com/NousResearch",
"url_type": "DeepLink"
},
"user_label_type": "BusinessLabel",
"user_label_display_type": "Badge"
}
},
"possiblySensitive": false,
"pinnedTweetIds": [
"1900220169412341993"
],
"profile_bio": {
"description": "Cofounder and Head of Post Training @NousResearch, prev @StabilityAI\nGithub: https://t.co/LZwHTUFwPq\nHuggingFace: https://t.co/sN2FFU8PVE",
"entities": {
"description": {
"urls": [
{
"display_url": "github.com/teknium1",
"expanded_url": "http://github.com/teknium1",
"indices": [
77,
100
],
"url": "https://t.co/LZwHTUFwPq"
},
{
"display_url": "huggingface.co/teknium",
"expanded_url": "http://huggingface.co/teknium",
"indices": [
114,
137
],
"url": "https://t.co/sN2FFU8PVE"
}
],
"user_mentions": [
{
"id_str": "0",
"indices": [
36,
49
],
"name": "",
"screen_name": "NousResearch"
},
{
"id_str": "0",
"indices": [
56,
68
],
"name": "",
"screen_name": "StabilityAI"
}
]
},
"url": {
"urls": [
{
"display_url": "github.com/sponsors/tekni…",
"expanded_url": "http://github.com/sponsors/teknium1",
"indices": [
0,
23
],
"url": "https://t.co/7DnNfZEOPh"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {
"media": [
{
"allow_download_status": {
"allow_download": true
},
"display_url": "pic.twitter.com/6zFLbq3lcu",
"expanded_url": "https://twitter.com/Teknium1/status/1957677095578136990/photo/1",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {},
"orig": {}
},
"id_str": "1957677091518099456",
"indices": [
150,
173
],
"media_key": "3_1957677091518099456",
"media_results": {
"id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARsrEPFI2zAACgACGysQ8jracZ4AAA==",
"result": {
"__typename": "ApiMedia",
"id": "QXBpTWVkaWE6DAABCgABGysQ8UjbMAAKAAIbKxDyOtpxngAA",
"media_key": "3_1957677091518099456"
}
},
"media_url_https": "https://pbs.twimg.com/media/GysQ8UjbMAAAkV-.jpg",
"original_info": {
"focus_rects": [
{
"h": 90,
"w": 161,
"x": 53,
"y": 0
},
{
"h": 90,
"w": 90,
"x": 88,
"y": 0
},
{
"h": 90,
"w": 79,
"x": 94,
"y": 0
},
{
"h": 90,
"w": 45,
"x": 111,
"y": 0
},
{
"h": 90,
"w": 1070,
"x": 0,
"y": 0
}
],
"height": 90,
"width": 1070
},
"sizes": {
"large": {
"h": 90,
"w": 1070
}
},
"type": "photo",
"url": "https://t.co/6zFLbq3lcu"
}
]
},
"card": null,
"place": {},
"entities": {
"urls": [
{
"display_url": "nousresearch.com/measuring-thin…",
"expanded_url": "https://nousresearch.com/measuring-thinking-efficiency-in-reasoning-models-the-missing-benchmark/",
"indices": [
126,
149
],
"url": "https://t.co/aeBjRPR22h"
}
]
},
"quoted_tweet": {
"type": "tweet",
"id": "1957627532963926389",
"url": "https://x.com/jaseweston/status/1957627532963926389",
"twitterUrl": "https://twitter.com/jaseweston/status/1957627532963926389",
"text": "🤖Introducing OptimalThinkingBench 🤖\n📝: https://t.co/cffhCY4eQw\n- Thinking LLMs use a lot of tokens & overthink; non-thinking LLMs underthink & underperform.\n- We introduce a benchmark which scores models in the quest to find the best mix.\n- OptimalThinkingBench reports the F1 score mixing OverThinkingBench (simple queries in 72 domains) & UnderThinkingBench (11 challenging reasoning tasks).\n- We evaluate 33 different SOTA models & find improvements are needed!\n🧵1/5",
"source": "Twitter for iPhone",
"retweetCount": 24,
"replyCount": 1,
"likeCount": 145,
"quoteCount": 2,
"viewCount": 10682,
"createdAt": "Tue Aug 19 02:15:49 +0000 2025",
"lang": "en",
"bookmarkCount": 103,
"isReply": false,
"inReplyToId": null,
"conversationId": "1957627532963926389",
"displayTextRange": [
0,
285
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "jaseweston",
"url": "https://x.com/jaseweston",
"twitterUrl": "https://twitter.com/jaseweston",
"id": "14551614",
"name": "Jason Weston",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/1161680026561069061/i-DdZcc1_normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/14551614/1603662637",
"description": "",
"location": "NYC",
"followers": 12976,
"following": 694,
"status": "",
"canDm": true,
"canMediaTag": true,
"createdAt": "Sat Apr 26 21:14:17 +0000 2008",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 1873,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 181,
"statusesCount": 458,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [],
"profile_bio": {
"description": "@MetaAI+NYU. NLP from scratch(Pretrain+FT LLM) 2008, MemNets (pre-Transformer) 2015, DrQA(pre-RAG) 2017, BlenderBot(dialog pre-ChatGPT) 2018+,Self-Reward+ more!",
"entities": {
"description": {
"user_mentions": [
{
"id_str": "0",
"indices": [
0,
7
],
"name": "",
"screen_name": "MetaAI"
}
]
},
"url": {
"urls": [
{
"display_url": "jaseweston.com",
"expanded_url": "http://www.jaseweston.com",
"indices": [
0,
23
],
"url": "https://t.co/QAecNdWNL5"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {
"media": [
{
"display_url": "pic.twitter.com/1gBx6qN0AM",
"expanded_url": "https://twitter.com/jaseweston/status/1957627532963926389/photo/1",
"ext_media_availability": {
"status": "Available"
},
"features": {
"all": {
"tags": [
{
"name": "Pranjal Aggarwal ✈️ ICML 2025",
"screen_name": "PranjalAggarw16",
"type": "user",
"user_id": "1297948544091877377"
},
{
"name": "Seungone Kim",
"screen_name": "seungonekim",
"type": "user",
"user_id": "1455179335548035074"
},
{
"name": "Ilia Kulikov",
"screen_name": "uralik1",
"type": "user",
"user_id": "977013150871638016"
},
{
"name": "Swarnadeep Saha",
"screen_name": "swarnaNLP",
"type": "user",
"user_id": "2485053080"
}
]
},
"large": {
"faces": [
{
"h": 99,
"w": 99,
"x": 1277,
"y": 1009
}
]
},
"orig": {
"faces": [
{
"h": 99,
"w": 99,
"x": 1277,
"y": 1009
}
]
}
},
"id_str": "1957604497892536325",
"indices": [
286,
309
],
"media_key": "3_1957604497892536325",
"media_results": {
"id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARsqzutDl3AFCgACGyrj3ojW0XUAAA==",
"result": {
"__typename": "ApiMedia",
"id": "QXBpTWVkaWE6DAABCgABGyrO60OXcAUKAAIbKuPeiNbRdQAA",
"media_key": "3_1957604497892536325"
}
},
"media_url_https": "https://pbs.twimg.com/media/GyrO60OXcAUL2vK.jpg",
"original_info": {
"focus_rects": [
{
"h": 1096,
"w": 1958,
"x": 0,
"y": 0
},
{
"h": 1742,
"w": 1742,
"x": 0,
"y": 0
},
{
"h": 1742,
"w": 1528,
"x": 0,
"y": 0
},
{
"h": 1742,
"w": 871,
"x": 0,
"y": 0
},
{
"h": 1742,
"w": 1958,
"x": 0,
"y": 0
}
],
"height": 1742,
"width": 1958
},
"sizes": {
"large": {
"h": 1742,
"w": 1958
}
},
"type": "photo",
"url": "https://t.co/1gBx6qN0AM"
}
]
},
"card": null,
"place": {},
"entities": {
"urls": [
{
"display_url": "arxiv.org/abs/2508.13141",
"expanded_url": "http://arxiv.org/abs/2508.13141",
"indices": [
39,
62
],
"url": "https://t.co/cffhCY4eQw"
}
]
},
"quoted_tweet": null,
"retweeted_tweet": null,
"article": null
},
"retweeted_tweet": null,
"article": null
}