{
  "type": "tweet",
  "id": "1995862532310057320",
  "url": "https://x.com/omarsar0/status/1995862532310057320",
  "twitterUrl": "https://twitter.com/omarsar0/status/1995862532310057320",
  "text": "The Art of Scaling Test-Time Compute for LLMs\n\nThis is a large-scale study of test-time scaling (TTS).\n\nIt also provides a practical recipe for selecting the best test-time scaling strategy.\n\n(bookmark it)\n\nMy takeaways:\n\nTest-time compute scaling works - Allocating more computation during inference (not training) can significantly boost LLM performance on complex reasoning tasks.\n\nStrategic allocation matters - Not all extra compute is equally beneficial; how you spend the additional resources is as important as how much you spend.\n\nDifferent strategies for different tasks - Certain test-time scaling approaches outperform others depending on the characteristics of the task.\n\nNo retraining required - LLMs can be made more capable by intelligently using additional computation at inference time, without modifying model weights.\n\nThe paper evaluates various reasoning verification and refinement techniques, plus methods for deciding when/how to use extra computation. The research highlights the trade-offs between different scaling strategies, helping practitioners choose the right approach for their use case.\n\nGreat read for AI devs.",
  "source": "Twitter for iPhone",
  "retweetCount": 43,
  "replyCount": 14,
  "likeCount": 221,
  "quoteCount": 1,
  "viewCount": 12246,
  "createdAt": "Tue Dec 02 14:28:03 +0000 2025",
  "lang": "en",
  "bookmarkCount": 169,
  "isReply": false,
  "inReplyToId": null,
  "conversationId": "1995862532310057320",
  "displayTextRange": [
    0,
    272
  ],
  "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": 277867,
    "following": 724,
    "status": "",
    "canDm": true,
    "canMediaTag": true,
    "createdAt": "Fri Sep 04 12:59:26 +0000 2015",
    "entities": {
      "description": {
        "urls": []
      },
      "url": {}
    },
    "fastFollowersCount": 0,
    "favouritesCount": 33719,
    "hasCustomTimelines": true,
    "isTranslator": true,
    "mediaCount": 4356,
    "statusesCount": 16656,
    "withheldInCountries": [],
    "affiliatesHighlightedLabel": {},
    "possiblySensitive": false,
    "pinnedTweetIds": [
      "1996595107924263287"
    ],
    "profile_bio": {
      "description": "Building agents @dair_ai • Ex Meta AI, Elastic, PhD • Sharing research & insights on AI Agents • New cohort: https://t.co/tn8LKG5d20",
      "entities": {
        "description": {
          "urls": [
            {
              "display_url": "dair-ai.thinkific.com/courses/claude…",
              "expanded_url": "https://dair-ai.thinkific.com/courses/claude-code",
              "indices": [
                109,
                132
              ],
              "url": "https://t.co/tn8LKG5d20"
            }
          ],
          "user_mentions": [
            {
              "id_str": "0",
              "indices": [
                16,
                24
              ],
              "name": "",
              "screen_name": "dair_ai"
            }
          ]
        },
        "url": {
          "urls": [
            {
              "display_url": "dair-ai.thinkific.com",
              "expanded_url": "https://dair-ai.thinkific.com/",
              "indices": [
                0,
                23
              ],
              "url": "https://t.co/JBU5beHQNs"
            }
          ]
        }
      }
    },
    "isAutomated": false,
    "automatedBy": null
  },
  "extendedEntities": {
    "media": [
      {
        "display_url": "pic.twitter.com/L1SFMmcTvX",
        "expanded_url": "https://twitter.com/omarsar0/status/1995862532310057320/photo/1",
        "ext_media_availability": {
          "status": "Available"
        },
        "features": {
          "large": {
            "faces": [
              {
                "h": 91,
                "w": 91,
                "x": 612,
                "y": 1024
              },
              {
                "h": 85,
                "w": 85,
                "x": 615,
                "y": 1083
              }
            ]
          },
          "orig": {
            "faces": [
              {
                "h": 91,
                "w": 91,
                "x": 612,
                "y": 1024
              },
              {
                "h": 85,
                "w": 85,
                "x": 615,
                "y": 1083
              }
            ]
          }
        },
        "id_str": "1995862528694591488",
        "indices": [
          273,
          296
        ],
        "media_key": "3_1995862528694591488",
        "media_results": {
          "id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARuyumUzWqAACgACG7K6ZgraQWgAAA==",
          "result": {
            "__typename": "ApiMedia",
            "id": "QXBpTWVkaWE6DAABCgABG7K6ZTNaoAAKAAIbsrpmCtpBaAAA",
            "media_key": "3_1995862528694591488"
          }
        },
        "media_url_https": "https://pbs.twimg.com/media/G7K6ZTNaoAAUAyW.jpg",
        "original_info": {
          "focus_rects": [
            {
              "h": 903,
              "w": 1612,
              "x": 0,
              "y": 0
            },
            {
              "h": 1612,
              "w": 1612,
              "x": 0,
              "y": 0
            },
            {
              "h": 1742,
              "w": 1528,
              "x": 42,
              "y": 0
            },
            {
              "h": 1742,
              "w": 871,
              "x": 371,
              "y": 0
            },
            {
              "h": 1742,
              "w": 1612,
              "x": 0,
              "y": 0
            }
          ],
          "height": 1742,
          "width": 1612
        },
        "sizes": {
          "large": {
            "h": 1742,
            "w": 1612
          }
        },
        "type": "photo",
        "url": "https://t.co/L1SFMmcTvX"
      }
    ]
  },
  "card": null,
  "place": {},
  "entities": {},
  "quoted_tweet": null,
  "retweeted_tweet": null,
  "isLimitedReply": false,
  "article": null
}