šŸ¦ Twitter Post Details

Viewing enriched Twitter post

@TheTuringPost

Mixture-of-Transformers (MoT) is a new @AIatMeta and @Stanford's MLLM design for efficient training of MLLMs using less computing power. It uses specific networks for each type of input: text, images, and speech, while still sharing attention across all the data. šŸ‘‡ https://t.co/nYdDECRnOR

Media 1
Media 2
View on Twitter

šŸ“Š Media Metadata

{
  "data": [
    {
      "media_url": "https://pbs.twimg.com/media/GcbUj9hbQAA9SeT.jpg",
      "type": "photo"
    },
    {
      "media_url": "https://pbs.twimg.com/media/GcbUkMwbgAA4_dM.png",
      "type": "photo"
    }
  ],
  "score": 0.86,
  "scored_at": "2025-08-09T13:46:07.553199",
  "import_source": "network_archive_import",
  "media": [
    {
      "type": "photo",
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1857405619139121169/media_0.jpg?",
      "filename": "media_0.jpg",
      "original_url": "https://pbs.twimg.com/media/GcbUj9hbQAA9SeT.jpg"
    },
    {
      "type": "photo",
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1857405619139121169/media_1.png?",
      "filename": "media_1.png",
      "original_url": "https://pbs.twimg.com/media/GcbUkMwbgAA4_dM.png"
    }
  ],
  "storage_migrated": true
}

šŸ”§ Raw API Response

{
  "user": {
    "created_at": "2020-06-12T16:42:17.000Z",
    "default_profile_image": false,
    "description": "Newsletter exploring AI & ML\n\n- AI 101\n- ML techniques\n- AI Business insights\n- Global dynamics\n- ML History\n\nLed by @kseniase_\n\nSave hours of research šŸ‘‡šŸ¼",
    "fast_followers_count": 0,
    "favourites_count": 11626,
    "followers_count": 65847,
    "friends_count": 14043,
    "has_custom_timelines": true,
    "is_translator": false,
    "listed_count": 965,
    "location": "Subscribe for free",
    "media_count": 4908,
    "name": "TuringPost",
    "normal_followers_count": 65847,
    "possibly_sensitive": false,
    "profile_banner_url": "https://pbs.twimg.com/profile_banners/1271482878958940160/1677096943",
    "profile_image_url_https": "https://pbs.twimg.com/profile_images/1628461327646707713/A3wjBms3_normal.jpg",
    "screen_name": "TheTuringPost",
    "statuses_count": 13469,
    "translator_type": "none",
    "url": "https://t.co/81IXvInDft",
    "verified": true,
    "withheld_in_countries": [],
    "id_str": "1271482878958940160"
  },
  "id": "1857405619139121169",
  "conversation_id": "1857405619139121169",
  "full_text": "Mixture-of-Transformers (MoT) is a new @AIatMeta and @Stanford's MLLM design for efficient training of MLLMs using less computing power.\n\nIt uses specific networks for each type of input: text, images, and speech, while still sharing attention across all the data.\n\nšŸ‘‡ https://t.co/nYdDECRnOR",
  "reply_count": 1,
  "retweet_count": 23,
  "favorite_count": 86,
  "hashtags": [],
  "symbols": [],
  "user_mentions": [
    {
      "id_str": "1034844617261248512",
      "name": "AI at Meta",
      "screen_name": "AIatMeta",
      "profile": "https://twitter.com/AIatMeta"
    },
    {
      "id_str": "18036441",
      "name": "Stanford University",
      "screen_name": "Stanford",
      "profile": "https://twitter.com/Stanford"
    }
  ],
  "urls": [],
  "media": [
    {
      "media_url": "https://pbs.twimg.com/media/GcbUj9hbQAA9SeT.jpg",
      "type": "photo"
    },
    {
      "media_url": "https://pbs.twimg.com/media/GcbUkMwbgAA4_dM.png",
      "type": "photo"
    }
  ],
  "url": "https://twitter.com/TheTuringPost/status/1857405619139121169",
  "created_at": "2024-11-15T12:49:43.000Z",
  "#sort_index": "1857405619139121169",
  "view_count": 8546,
  "quote_count": 2,
  "is_quote_tweet": false,
  "is_retweet": false,
  "is_pinned": false,
  "is_truncated": false,
  "startUrl": "https://x.com/theturingpost/status/1857405619139121169"
}