🐦 Twitter Post Details

Viewing enriched Twitter post

@moritz_reuss

World-Action Models (WAMs) have become the second dominant recipe for robot foundation models, next to classical VLAs. So where do they come from, and how do they compare vs VLAs? I wrote an small overview of the WAM landscape, with some personal takes: https://t.co/6S4gH9tWTt

Media 1

📊 Media Metadata

{
  "media": [
    {
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2066530578720022835/media_0.jpg",
      "media_url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2066530578720022835/media_0.jpg",
      "type": "photo",
      "filename": "media_0.jpg"
    }
  ],
  "processed_at": "2026-06-15T18:04:40.296788",
  "pipeline_version": "2.0"
}

🔧 Raw API Response

{
  "type": "tweet",
  "id": "2066530578720022835",
  "url": "https://x.com/moritz_reuss/status/2066530578720022835",
  "twitterUrl": "https://twitter.com/moritz_reuss/status/2066530578720022835",
  "text": "World-Action Models (WAMs) have become the second dominant recipe for robot foundation models, next to classical VLAs.\n\nSo where do they come from, and how do they compare vs VLAs?\n\nI wrote an small overview of the WAM landscape, with some personal takes:\n\nhttps://t.co/6S4gH9tWTt",
  "source": "Twitter for iPhone",
  "retweetCount": 19,
  "replyCount": 0,
  "likeCount": 69,
  "quoteCount": 6,
  "viewCount": 7488,
  "createdAt": "Mon Jun 15 14:37:38 +0000 2026",
  "lang": "en",
  "bookmarkCount": 70,
  "isReply": false,
  "inReplyToId": null,
  "conversationId": "2066530578720022835",
  "displayTextRange": [
    0,
    280
  ],
  "inReplyToUserId": null,
  "inReplyToUsername": null,
  "author": {
    "type": "user",
    "userName": "moritz_reuss",
    "url": "https://x.com/moritz_reuss",
    "twitterUrl": "https://twitter.com/moritz_reuss",
    "id": "1714301210159661056",
    "name": "Moritz Reuss",
    "isVerified": false,
    "isBlueVerified": false,
    "verifiedType": null,
    "profilePicture": "https://pbs.twimg.com/profile_images/1715675249373536256/0WHMLGP6_normal.jpg",
    "coverPicture": "",
    "description": "Robot learning @NVIDIARobotics (Seattle Robotics Lab). PhD @KITKarlsruhe. Opinions my own.",
    "location": "",
    "followers": 464,
    "following": 382,
    "status": "",
    "canDm": false,
    "canMediaTag": true,
    "createdAt": "Tue Oct 17 15:24:17 +0000 2023",
    "entities": {
      "description": {},
      "url": {
        "urls": [
          {
            "display_url": "mbreuss.github.io",
            "expanded_url": "https://mbreuss.github.io",
            "indices": [
              0,
              23
            ],
            "url": "https://t.co/1UQJzRMOds"
          }
        ]
      }
    },
    "fastFollowersCount": 0,
    "favouritesCount": 513,
    "hasCustomTimelines": false,
    "isTranslator": false,
    "mediaCount": 4,
    "statusesCount": 42,
    "withheldInCountries": [],
    "affiliatesHighlightedLabel": {},
    "possiblySensitive": false,
    "pinnedTweetIds": [],
    "profile_bio": {},
    "isAutomated": false,
    "automatedBy": null
  },
  "extendedEntities": {},
  "card": {
    "binding_values": [
      {
        "key": "photo_image_full_size_large",
        "value": {
          "image_value": {
            "height": 419,
            "url": "https://pbs.twimg.com/card_img/2066529917592829953/USPQITMU?format=jpg&name=800x419",
            "width": 800
          },
          "type": "IMAGE"
        }
      },
      {
        "key": "thumbnail_image",
        "value": {
          "image_value": {
            "height": 150,
            "url": "https://pbs.twimg.com/card_img/2066529917592829953/USPQITMU?format=jpg&name=280x150",
            "width": 267
          },
          "type": "IMAGE"
        }
      },
      {
        "key": "description",
        "value": {
          "string_value": "Quick glossary for readers new to VLA/WAM terminology VLA Vision-Language-Action model: a robot policy that starts from a pretrained VLM backbone and adapts it to generate actions from visual…",
          "type": "STRING"
        }
      },
      {
        "key": "domain",
        "value": {
          "string_value": "developer.nvidia.com",
          "type": "STRING"
        }
      },
      {
        "key": "thumbnail_image_large",
        "value": {
          "image_value": {
            "height": 320,
            "url": "https://pbs.twimg.com/card_img/2066529917592829953/USPQITMU?format=jpg&name=800x320_1",
            "width": 569
          },
          "type": "IMAGE"
        }
      },
      {
        "key": "summary_photo_image_small",
        "value": {
          "image_value": {
            "height": 202,
            "url": "https://pbs.twimg.com/card_img/2066529917592829953/USPQITMU?format=jpg&name=386x202",
            "width": 386
          },
          "type": "IMAGE"
        }
      },
      {
        "key": "thumbnail_image_original",
        "value": {
          "image_value": {
            "height": 540,
            "url": "https://pbs.twimg.com/card_img/2066529917592829953/USPQITMU?format=jpg&name=orig",
            "width": 960
          },
          "type": "IMAGE"
        }
      },
      {
        "key": "photo_image_full_size_small",
        "value": {
          "image_value": {
            "height": 202,
            "url": "https://pbs.twimg.com/card_img/2066529917592829953/USPQITMU?format=jpg&name=386x202",
            "width": 386
          },
          "type": "IMAGE"
        }
      },
      {
        "key": "summary_photo_image_large",
        "value": {
          "image_value": {
            "height": 419,
            "url": "https://pbs.twimg.com/card_img/2066529917592829953/USPQITMU?format=jpg&name=800x419",
            "width": 800
          },
          "type": "IMAGE"
        }
      },
      {
        "key": "thumbnail_image_small",
        "value": {
          "image_value": {
            "height": 81,
            "url": "https://pbs.twimg.com/card_img/2066529917592829953/USPQITMU?format=jpg&name=144x144",
            "width": 144
          },
          "type": "IMAGE"
        }
      },
      {
        "key": "thumbnail_image_x_large",
        "value": {
          "image_value": {
            "height": 540,
            "url": "https://pbs.twimg.com/card_img/2066529917592829953/USPQITMU?format=png&name=2048x2048_2_exp",
            "width": 960
          },
          "type": "IMAGE"
        }
      },
      {
        "key": "photo_image_full_size_original",
        "value": {
          "image_value": {
            "height": 540,
            "url": "https://pbs.twimg.com/card_img/2066529917592829953/USPQITMU?format=jpg&name=orig",
            "width": 960
          },
          "type": "IMAGE"
        }
      },
      {
        "key": "vanity_url",
        "value": {
          "scribe_key": "vanity_url",
          "string_value": "developer.nvidia.com",
          "type": "STRING"
        }
      },
      {
        "key": "photo_image_full_size",
        "value": {
          "image_value": {
            "height": 314,
            "url": "https://pbs.twimg.com/card_img/2066529917592829953/USPQITMU?format=jpg&name=600x314",
            "width": 600
          },
          "type": "IMAGE"
        }
      },
      {
        "key": "thumbnail_image_color",
        "value": {
          "image_color_value": {
            "palette": [
              {
                "percentage": 76.12,
                "rgb": {
                  "blue": 242,
                  "green": 244,
                  "red": 244
                }
              },
              {
                "percentage": 6.29,
                "rgb": {
                  "blue": 109,
                  "green": 119,
                  "red": 110
                }
              },
              {
                "percentage": 4.64,
                "rgb": {
                  "blue": 36,
                  "green": 168,
                  "red": 107
                }
              },
              {
                "percentage": 3.8,
                "rgb": {
                  "blue": 90,
                  "green": 148,
                  "red": 101
                }
              },
              {
                "percentage": 1.46,
                "rgb": {
                  "blue": 225,
                  "green": 206,
                  "red": 190
                }
              }
            ]
          },
          "type": "IMAGE_COLOR"
        }
      },
      {
        "key": "title",
        "value": {
          "string_value": "Pretrained to Imagine, Fine-Tuned to Act: The Rise of World-Action Models | NVIDIA Technical Blog",
          "type": "STRING"
        }
      },
      {
        "key": "summary_photo_image_color",
        "value": {
          "image_color_value": {
            "palette": [
              {
                "percentage": 76.12,
                "rgb": {
                  "blue": 242,
                  "green": 244,
                  "red": 244
                }
              },
              {
                "percentage": 6.29,
                "rgb": {
                  "blue": 109,
                  "green": 119,
                  "red": 110
                }
              },
              {
                "percentage": 4.64,
                "rgb": {
                  "blue": 36,
                  "green": 168,
                  "red": 107
                }
              },
              {
                "percentage": 3.8,
                "rgb": {
                  "blue": 90,
                  "green": 148,
                  "red": 101
                }
              },
              {
                "percentage": 1.46,
                "rgb": {
                  "blue": 225,
                  "green": 206,
                  "red": 190
                }
              }
            ]
          },
          "type": "IMAGE_COLOR"
        }
      },
      {
        "key": "summary_photo_image_x_large",
        "value": {
          "image_value": {
            "height": 540,
            "url": "https://pbs.twimg.com/card_img/2066529917592829953/USPQITMU?format=png&name=2048x2048_2_exp",
            "width": 960
          },
          "type": "IMAGE"
        }
      },
      {
        "key": "summary_photo_image",
        "value": {
          "image_value": {
            "height": 314,
            "url": "https://pbs.twimg.com/card_img/2066529917592829953/USPQITMU?format=jpg&name=600x314",
            "width": 600
          },
          "type": "IMAGE"
        }
      },
      {
        "key": "photo_image_full_size_color",
        "value": {
          "image_color_value": {
            "palette": [
              {
                "percentage": 76.12,
                "rgb": {
                  "blue": 242,
                  "green": 244,
                  "red": 244
                }
              },
              {
                "percentage": 6.29,
                "rgb": {
                  "blue": 109,
                  "green": 119,
                  "red": 110
                }
              },
              {
                "percentage": 4.64,
                "rgb": {
                  "blue": 36,
                  "green": 168,
                  "red": 107
                }
              },
              {
                "percentage": 3.8,
                "rgb": {
                  "blue": 90,
                  "green": 148,
                  "red": 101
                }
              },
              {
                "percentage": 1.46,
                "rgb": {
                  "blue": 225,
                  "green": 206,
                  "red": 190
                }
              }
            ]
          },
          "type": "IMAGE_COLOR"
        }
      },
      {
        "key": "photo_image_full_size_x_large",
        "value": {
          "image_value": {
            "height": 540,
            "url": "https://pbs.twimg.com/card_img/2066529917592829953/USPQITMU?format=png&name=2048x2048_2_exp",
            "width": 960
          },
          "type": "IMAGE"
        }
      },
      {
        "key": "card_url",
        "value": {
          "scribe_key": "card_url",
          "string_value": "https://t.co/6S4gH9tWTt",
          "type": "STRING"
        }
      },
      {
        "key": "summary_photo_image_original",
        "value": {
          "image_value": {
            "height": 540,
            "url": "https://pbs.twimg.com/card_img/2066529917592829953/USPQITMU?format=jpg&name=orig",
            "width": 960
          },
          "type": "IMAGE"
        }
      }
    ],
    "card_platform": {
      "platform": {
        "audience": {
          "name": "production"
        },
        "device": {
          "name": "Swift",
          "version": "12"
        }
      }
    },
    "name": "summary_large_image",
    "url": "https://t.co/6S4gH9tWTt",
    "user_refs_results": []
  },
  "place": {},
  "entities": {
    "urls": [
      {
        "display_url": "developer.nvidia.com/blog/pretraine…",
        "expanded_url": "https://developer.nvidia.com/blog/pretrained-to-imagine-fine-tuned-to-act-the-rise-of-world-action-models/",
        "indices": [
          257,
          280
        ],
        "url": "https://t.co/6S4gH9tWTt"
      }
    ]
  },
  "quoted_tweet": null,
  "retweeted_tweet": null,
  "article": null
}