[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-a-gpt-style-brain-for-simulated-bodies":10,"sections":34},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":29,"feedback":33,"feedback_at":22,"cost_usd":33,"total_tokens":33},2661,"a-gpt-style-brain-for-simulated-bodies","A GPT-Style Brain for Simulated Bodies","Researchers trained a transformer on motion data to give physics-based animated characters a general-purpose controller that transfers to new tasks.","A new pretraining framework lets simulated characters learn to move the way language models learn to write — one token at a time.\n\nThe system, called Generative Pretrained Controllers (GPC), converts motion data into a discrete vocabulary using a technique called Finite Scalar Quantization, then trains a GPT-style transformer to predict the next motion token. The result is a control policy that can drive a physics-based character through a vast library of movements. Researchers report a 99.98% success rate reproducing a large corpus of motion clips. After the base controller is trained, it can be fine-tuned for specific downstream tasks using a set of proposed adaptation techniques.\n\nThe significance here is less about the number and more about the architecture bet. Training robot and character controllers has historically meant hand-crafting objectives for each skill. GPC borrows the pretraining-then-finetuning playbook that transformed natural language processing and applies it to motor control — which, if it generalizes well, could cut the cost of building new behaviors dramatically. The emergent properties — like recovering from falls without being explicitly trained to — suggest the model is learning something structural about movement, not just memorizing clips.\n\nThat said, \"emergent behavior\" is doing a lot of work in a lot of research papers right now. The real test is how well the fine-tuning techniques hold up when the downstream tasks look nothing like the pretraining data.","[\"ai\",\"robotics\",\"animation\",\"reinforcement-learning\"]","2026-06-30T04:00:00.000Z","2026-06-30T10:26:44.326Z","2026-06-30T10:26:47.192Z","published",null,[],"ai",[24,26,27,28],"robotics","animation","reinforcement-learning",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.29148",0,{"sections":35},[36,40,45,50,55,60,65,70,75,80,85,89,94,99],{"name":37,"slug":24,"count":38,"latest_published_at":39},"AI",2590,"2026-07-16T04:00:00.000Z",{"name":41,"slug":42,"count":43,"latest_published_at":44},"Security","security",294,"2026-07-15T19:59:48.000Z",{"name":46,"slug":47,"count":48,"latest_published_at":49},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":51,"slug":52,"count":53,"latest_published_at":54},"Policy","policy",158,"2026-07-16T00:02:48.000Z",{"name":56,"slug":57,"count":58,"latest_published_at":59},"Hardware","hardware",122,"2026-07-14T19:46:26.000Z",{"name":61,"slug":62,"count":63,"latest_published_at":64},"Consumer Tech","consumer-tech",93,"2026-07-13T13:20:48.000Z",{"name":66,"slug":67,"count":68,"latest_published_at":69},"Software","software",70,"2026-07-13T19:52:25.000Z",{"name":71,"slug":72,"count":73,"latest_published_at":74},"Science","science",66,"2026-07-10T10:29:37.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":79},"Dev Tools","dev-tools",59,"2026-07-07T04:00:00.000Z",{"name":81,"slug":82,"count":83,"latest_published_at":84},"Gaming","gaming",41,"2026-07-09T04:00:00.000Z",{"name":86,"slug":87,"count":83,"latest_published_at":88},"Startups","startups","2026-06-29T20:55:50.000Z",{"name":90,"slug":91,"count":92,"latest_published_at":93},"General","general",29,"2026-07-10T22:28:58.000Z",{"name":95,"slug":96,"count":97,"latest_published_at":98},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":100,"slug":101,"count":102,"latest_published_at":103},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]