🐦 Twitter Post Details

Viewing enriched Twitter post

@omarsar0

Theory of Mind in Multi-agent LLM Systems. A good read for anyone building systems where agents need to model each other's beliefs to coordinate effectively. This work introduces a multi-agent architecture combining Theory of Mind, Belief-Desire-Intention models, and symbolic solvers for logical verification, then evaluates how these cognitive mechanisms affect collaborative decision-making across multiple LLMs. The results reveal a complex interdependency where cognitive mechanisms like ToM don't automatically improve coordination. Their effectiveness depends heavily on underlying LLM capabilities. Knowing when and how to add these mechanisms is key to building reliable multi-agent systems. Paper: https://t.co/8ASbUgzGjF Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX

Media 1

📊 Media Metadata

{
  "media": [
    {
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2028913061260935331/media_0.jpg?",
      "media_url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2028913061260935331/media_0.jpg?",
      "type": "photo",
      "filename": "media_0.jpg"
    }
  ],
  "processed_at": "2026-03-06T14:08:42.449798",
  "pipeline_version": "2.0"
}

🔧 Raw API Response

{
  "type": "tweet",
  "id": "2028913061260935331",
  "url": "https://x.com/omarsar0/status/2028913061260935331",
  "twitterUrl": "https://twitter.com/omarsar0/status/2028913061260935331",
  "text": "Theory of Mind in Multi-agent LLM Systems.\n\nA good read for anyone building systems where agents need to model each other's beliefs to coordinate effectively.\n\nThis work introduces a multi-agent architecture combining Theory of Mind, Belief-Desire-Intention models, and symbolic solvers for logical verification, then evaluates how these cognitive mechanisms affect collaborative decision-making across multiple LLMs.\n\nThe results reveal a complex interdependency where cognitive mechanisms like ToM don't automatically improve coordination.\n\nTheir effectiveness depends heavily on underlying LLM capabilities.\n\nKnowing when and how to add these mechanisms is key to building reliable multi-agent systems.\n\nPaper: https://t.co/8ASbUgzGjF\n\nLearn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX",
  "source": "Twitter for iPhone",
  "retweetCount": 38,
  "replyCount": 22,
  "likeCount": 250,
  "quoteCount": 4,
  "viewCount": 21735,
  "createdAt": "Tue Mar 03 19:19:03 +0000 2026",
  "lang": "en",
  "bookmarkCount": 224,
  "isReply": false,
  "inReplyToId": null,
  "conversationId": "2028913061260935331",
  "displayTextRange": [
    0,
    278
  ],
  "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": "Building @dair_ai • Prev: Meta AI, Elastic, PhD • New AI learning portal: https://t.co/1e8RZKs4uX",
    "location": "DAIR.AI Academy",
    "followers": 292400,
    "following": 778,
    "status": "",
    "canDm": true,
    "canMediaTag": true,
    "createdAt": "Fri Sep 04 12:59:26 +0000 2015",
    "entities": {
      "description": {
        "urls": [
          {
            "display_url": "academy.dair.ai",
            "expanded_url": "https://academy.dair.ai/",
            "indices": [
              74,
              97
            ],
            "url": "https://t.co/1e8RZKs4uX"
          }
        ]
      },
      "url": {
        "urls": [
          {
            "display_url": "dair.ai",
            "expanded_url": "https://www.dair.ai/",
            "indices": [
              0,
              23
            ],
            "url": "https://t.co/XQto5ypSIk"
          }
        ]
      }
    },
    "fastFollowersCount": 0,
    "favouritesCount": 34957,
    "hasCustomTimelines": true,
    "isTranslator": false,
    "mediaCount": 4535,
    "statusesCount": 17409,
    "withheldInCountries": [],
    "affiliatesHighlightedLabel": {},
    "possiblySensitive": false,
    "pinnedTweetIds": [
      "2029612360273420447"
    ],
    "profile_bio": {},
    "isAutomated": false,
    "automatedBy": null
  },
  "extendedEntities": {
    "media": [
      {
        "display_url": "pic.x.com/bb5hbiFZKb",
        "expanded_url": "https://x.com/omarsar0/status/2028913061260935331/photo/1",
        "ext_media_availability": {
          "status": "Available"
        },
        "features": {
          "large": {
            "faces": []
          },
          "medium": {
            "faces": []
          },
          "orig": {
            "faces": []
          },
          "small": {
            "faces": []
          }
        },
        "id_str": "2028913057406304256",
        "indices": [
          279,
          302
        ],
        "media_key": "3_2028913057406304256",
        "media_results": {
          "result": {
            "media_key": "3_2028913057406304256"
          }
        },
        "media_url_https": "https://pbs.twimg.com/media/HCglrRLawAA3nIT.png",
        "original_info": {
          "focus_rects": [
            {
              "h": 893,
              "w": 1594,
              "x": 0,
              "y": 0
            },
            {
              "h": 1594,
              "w": 1594,
              "x": 0,
              "y": 0
            },
            {
              "h": 1764,
              "w": 1547,
              "x": 0,
              "y": 0
            },
            {
              "h": 1764,
              "w": 882,
              "x": 308,
              "y": 0
            },
            {
              "h": 1764,
              "w": 1594,
              "x": 0,
              "y": 0
            }
          ],
          "height": 1764,
          "width": 1594
        },
        "sizes": {
          "large": {
            "h": 1764,
            "resize": "fit",
            "w": 1594
          },
          "medium": {
            "h": 1200,
            "resize": "fit",
            "w": 1084
          },
          "small": {
            "h": 680,
            "resize": "fit",
            "w": 614
          },
          "thumb": {
            "h": 150,
            "resize": "crop",
            "w": 150
          }
        },
        "type": "photo",
        "url": "https://t.co/bb5hbiFZKb"
      }
    ]
  },
  "card": null,
  "place": {},
  "entities": {
    "hashtags": [],
    "symbols": [],
    "urls": [
      {
        "display_url": "arxiv.org/abs/2603.00142",
        "expanded_url": "https://arxiv.org/abs/2603.00142",
        "indices": [
          714,
          737
        ],
        "url": "https://t.co/8ASbUgzGjF"
      },
      {
        "display_url": "academy.dair.ai",
        "expanded_url": "https://academy.dair.ai/",
        "indices": [
          790,
          813
        ],
        "url": "https://t.co/1e8RZKs4uX"
      }
    ],
    "user_mentions": []
  },
  "quoted_tweet": null,
  "retweeted_tweet": null,
  "article": null
}