{
  "type": "tweet",
  "id": "2012790326726156631",
  "url": "https://x.com/Scobleizer/status/2012790326726156631",
  "twitterUrl": "https://twitter.com/Scobleizer/status/2012790326726156631",
  "text": "RT @EmbodiedAIRead: 1X World Model | From Video to Action: A New Way Robots Learn\n\nBlog: https://t.co/RsW7Zl2cai\n\n1X describes and shows in…",
  "source": "Twitter for iPhone",
  "retweetCount": 28,
  "replyCount": 3,
  "likeCount": 226,
  "quoteCount": 5,
  "viewCount": 11495,
  "createdAt": "Sun Jan 18 07:33:04 +0000 2026",
  "lang": "en",
  "bookmarkCount": 154,
  "isReply": false,
  "inReplyToId": null,
  "conversationId": "2012790326726156631",
  "displayTextRange": [
    0,
    140
  ],
  "inReplyToUserId": null,
  "inReplyToUsername": null,
  "author": {
    "type": "user",
    "userName": "Scobleizer",
    "url": "https://x.com/Scobleizer",
    "twitterUrl": "https://twitter.com/Scobleizer",
    "id": "13348",
    "name": "Robert Scoble",
    "isVerified": false,
    "isBlueVerified": true,
    "verifiedType": null,
    "profilePicture": "https://pbs.twimg.com/profile_images/1915614118876504066/zVnfpAMf_normal.jpg",
    "coverPicture": "https://pbs.twimg.com/profile_banners/13348/1765416783",
    "description": "",
    "location": "My Free Newsletter 👉",
    "followers": 554066,
    "following": 35595,
    "status": "",
    "canDm": true,
    "canMediaTag": false,
    "createdAt": "Mon Nov 20 23:43:44 +0000 2006",
    "entities": {
      "description": {
        "urls": []
      },
      "url": {}
    },
    "fastFollowersCount": 0,
    "favouritesCount": 560395,
    "hasCustomTimelines": true,
    "isTranslator": false,
    "mediaCount": 6124,
    "statusesCount": 235033,
    "withheldInCountries": [],
    "affiliatesHighlightedLabel": {},
    "possiblySensitive": false,
    "pinnedTweetIds": [
      "2012934334546862425"
    ],
    "profile_bio": {
      "description": "San Francisco/Silicon Valley AI | Robots, holodecks, BCIs, analysis of new things | Ex-Microsoft, Rackspace, Fast Company | Wrote eight books about the future.",
      "entities": {
        "description": {},
        "url": {
          "urls": [
            {
              "display_url": "unaligned.io/subscribe",
              "expanded_url": "http://unaligned.io/subscribe",
              "indices": [
                0,
                23
              ],
              "url": "https://t.co/YVCwrHlZ0x"
            }
          ]
        }
      }
    },
    "isAutomated": false,
    "automatedBy": null
  },
  "extendedEntities": {},
  "card": null,
  "place": {},
  "entities": {
    "urls": [
      {
        "display_url": "1x.tech/discover/world…",
        "expanded_url": "https://www.1x.tech/discover/world-model-self-learning",
        "indices": [
          89,
          112
        ],
        "url": "https://t.co/RsW7Zl2cai"
      }
    ],
    "user_mentions": [
      {
        "id_str": "1941983406176481280",
        "indices": [
          3,
          18
        ],
        "name": "Embodied AI Reading Notes",
        "screen_name": "EmbodiedAIRead"
      }
    ]
  },
  "quoted_tweet": null,
  "retweeted_tweet": {
    "type": "tweet",
    "id": "2012770636855418983",
    "url": "https://x.com/EmbodiedAIRead/status/2012770636855418983",
    "twitterUrl": "https://twitter.com/EmbodiedAIRead/status/2012770636855418983",
    "text": "1X World Model | From Video to Action: A New Way Robots Learn\n\nBlog: https://t.co/1sPpUJBcrF\n\n1X describes and shows initial results for a new potential way of learning robot policy using video generation based world modeling, compared to VLA which is based on VLM.\n\n- How it works: at inference time, the system receives a text prompt and a starting frame. The World Model rolls out the intended future image frames, the Inverse Dynamics Model extracts the trajectory, and the robot executes the sequence in the real world.\n\n- The World Model backbone: A text-conditioned diffusion model trained on web-scale video, mid-trained on 900 hours of egocentric human data of first-person manipulation tasks for capturing general manipulation behaviors, and fine-tuned on 70 hours of NEO-specific sensorimotor logs for adapting to NEO’s visual appearance and kinematics.\n\n- The Inverse Dynamics Model: similar to architecure used in DreamGen, and trained on 400 hours of robot data on random play and motions.\n\n- Results: The model can generate videos aligning well with real-world execution, and the robot can perform object grasping, manipulation with some degree of generalization.\n\n- Current limitations: The pipeline latency is high and it’s not lose-loop. Currently the WM takes 11 second to generate 5 second video on a multi-GPU server and IDM takes another 1 second to extract actions.",
    "source": "Twitter for iPhone",
    "retweetCount": 28,
    "replyCount": 3,
    "likeCount": 226,
    "quoteCount": 5,
    "viewCount": 11495,
    "createdAt": "Sun Jan 18 06:14:49 +0000 2026",
    "lang": "en",
    "bookmarkCount": 154,
    "isReply": false,
    "inReplyToId": null,
    "conversationId": "2012770636855418983",
    "displayTextRange": [
      0,
      300
    ],
    "inReplyToUserId": null,
    "inReplyToUsername": null,
    "author": {
      "type": "user",
      "userName": "EmbodiedAIRead",
      "url": "https://x.com/EmbodiedAIRead",
      "twitterUrl": "https://twitter.com/EmbodiedAIRead",
      "id": "1941983406176481280",
      "name": "Embodied AI Reading Notes",
      "isVerified": false,
      "isBlueVerified": true,
      "verifiedType": null,
      "profilePicture": "https://pbs.twimg.com/profile_images/1941985661059239936/yPCcVMKL_normal.jpg",
      "coverPicture": "",
      "description": "",
      "location": "California, USA",
      "followers": 2813,
      "following": 1,
      "status": "",
      "canDm": false,
      "canMediaTag": true,
      "createdAt": "Sun Jul 06 22:12:07 +0000 2025",
      "entities": {
        "description": {
          "urls": []
        },
        "url": {}
      },
      "fastFollowersCount": 0,
      "favouritesCount": 19,
      "hasCustomTimelines": true,
      "isTranslator": false,
      "mediaCount": 122,
      "statusesCount": 138,
      "withheldInCountries": [],
      "affiliatesHighlightedLabel": {},
      "possiblySensitive": false,
      "pinnedTweetIds": [],
      "profile_bio": {
        "description": "Sharing daily personal notes on selected interesting Embodied AI papers, blogs and talks | Maintained by @yilun_chen_ | Opinions are my own.",
        "entities": {
          "description": {
            "user_mentions": [
              {
                "id_str": "0",
                "indices": [
                  105,
                  117
                ],
                "name": "",
                "screen_name": "yilun_chen_"
              }
            ]
          }
        }
      },
      "isAutomated": false,
      "automatedBy": null
    },
    "extendedEntities": {
      "media": [
        {
          "allow_download_status": {
            "allow_download": true
          },
          "display_url": "pic.twitter.com/VPokzisOnY",
          "expanded_url": "https://twitter.com/EmbodiedAIRead/status/2012770636855418983/photo/1",
          "ext_media_availability": {
            "status": "Available"
          },
          "features": {
            "large": {},
            "orig": {}
          },
          "id_str": "2012770545582972928",
          "indices": [
            301,
            324
          ],
          "media_key": "3_2012770545582972928",
          "media_results": {
            "id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARvuzCWn16AACgACG+7MOugaoGcAAA==",
            "result": {
              "__typename": "ApiMedia",
              "id": "QXBpTWVkaWE6DAABCgABG+7MJafXoAAKAAIb7sw66BqgZwAA",
              "media_key": "3_2012770545582972928"
            }
          },
          "media_url_https": "https://pbs.twimg.com/media/G-7MJafXoAABNib.jpg",
          "original_info": {
            "focus_rects": [
              {
                "h": 1434,
                "w": 2560,
                "x": 0,
                "y": 0
              },
              {
                "h": 1488,
                "w": 1488,
                "x": 0,
                "y": 0
              },
              {
                "h": 1488,
                "w": 1305,
                "x": 0,
                "y": 0
              },
              {
                "h": 1488,
                "w": 744,
                "x": 76,
                "y": 0
              },
              {
                "h": 1488,
                "w": 2560,
                "x": 0,
                "y": 0
              }
            ],
            "height": 1488,
            "width": 2560
          },
          "sizes": {
            "large": {
              "h": 1190,
              "w": 2048
            }
          },
          "type": "photo",
          "url": "https://t.co/VPokzisOnY"
        }
      ]
    },
    "card": null,
    "place": {},
    "entities": {
      "urls": [
        {
          "display_url": "1x.tech/discover/world…",
          "expanded_url": "https://www.1x.tech/discover/world-model-self-learning",
          "indices": [
            69,
            92
          ],
          "url": "https://t.co/1sPpUJBcrF"
        }
      ]
    },
    "quoted_tweet": null,
    "retweeted_tweet": null,
    "isLimitedReply": false,
    "article": null
  },
  "isLimitedReply": false,
  "article": null
}