[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-robot-ai-model-imagines-the-future-without-lag":10,"sections":35},{"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":30,"feedback":34,"feedback_at":22,"cost_usd":34,"total_tokens":34},9963,"robot-ai-model-imagines-the-future-without-lag","Robot AI Model Imagines the Future Without Lag","A new world-action model lets robots picture what happens next in the background, boosting task success without slowing down real-time control.","A new robot control model has found a way to have its imagination and its speed too.\n\nResearchers built GlanceWAM, a world-action model that splits imagining from acting. Most systems like this generate video frames to predict what a robot's actions will look like, but doing that fast enough to control a robot in real time has meant either slowing everything down or skipping the imagining step and losing accuracy. GlanceWAM dodges that by running a slow background process that imagines a single frame seconds ahead, while a separate fast process decodes actual robot commands every 48 milliseconds, untouched by the slower process. On a 24-task kitchen benchmark called RoboCasa, it hit 72.2% success versus 67.1% for a synchronous rival called Cosmos Policy, and it scored 99.0% on a separate benchmark called LIBERO, all while cutting control latency 24 times over. In real-robot tests with one and two arms, it beat a model called pi-0.5 without needing any robot-specific pretraining data.\n\nThis matters because the speed-versus-accuracy trade-off has been the core bottleneck keeping video-based world models out of real robots. Decoupling imagination from control, rather than making imagination faster outright, is a genuinely different fix, and the latency numbers suggest it is a workable one.\n\nStill, these are lab benchmarks run on a single A100 GPU, not a warehouse floor. Whether the lookahead frame stays useful outside curated demo tasks is the question that decides if this is a real shift or just a clever benchmark win.","[\"robotics\",\"world models\",\"ai models\",\"latency\"]","2026-10-05T04:00:00.000Z","2026-10-05T15:34:42.131Z","2026-10-05T15:34:47.527Z","published",null,[],"ai",[26,27,28,29],"robotics","world models","ai models","latency",[31],{"name":32,"url":33},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.23927",0,{"sections":36},[37,40,44,49,54,59,63,68,72,76,81,86,91,96],{"name":38,"slug":24,"count":39,"latest_published_at":18},"AI",6233,{"name":41,"slug":42,"count":43,"latest_published_at":18},"Security","security",868,{"name":45,"slug":46,"count":47,"latest_published_at":48},"Policy","policy",444,"2026-10-03T15:02:01.000Z",{"name":50,"slug":51,"count":52,"latest_published_at":53},"Deals","deals",323,"2026-10-04T13:00:00.000Z",{"name":55,"slug":56,"count":57,"latest_published_at":58},"Hardware","hardware",204,"2026-10-03T14:50:50.000Z",{"name":60,"slug":61,"count":62,"latest_published_at":18},"Science","science",177,{"name":64,"slug":65,"count":66,"latest_published_at":67},"Consumer Tech","consumer-tech",158,"2026-10-03T03:21:12.000Z",{"name":69,"slug":70,"count":71,"latest_published_at":18},"Dev Tools","dev-tools",97,{"name":73,"slug":74,"count":71,"latest_published_at":75},"Software","software","2026-10-04T10:00:00.000Z",{"name":77,"slug":78,"count":79,"latest_published_at":80},"Startups","startups",92,"2026-10-04T14:36:25.000Z",{"name":82,"slug":83,"count":84,"latest_published_at":85},"Gaming","gaming",53,"2026-10-02T02:50:39.000Z",{"name":87,"slug":88,"count":89,"latest_published_at":90},"General","general",51,"2026-10-05T02:35:01.000Z",{"name":92,"slug":93,"count":94,"latest_published_at":95},"Reviews","reviews",32,"2026-10-02T18:00:00.000Z",{"name":97,"slug":98,"count":99,"latest_published_at":100},"How-To","how-to",7,"2026-10-01T09:00:00.000Z"]