[{"data":1,"prerenderedAt":218},["ShallowReactive",2],{"project-48818661":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":27,"sentiment":28,"stance_mix":29,"scored_comments":32,"aspects":33,"strip":37,"post_text":40,"what":41,"said":74,"maker_in_thread":139,"shape":145,"grid":147,"attempts":179,"same_week":180,"maker_shows":38,"maker_hidden":210,"reader_version":211,"card":212},"48818661","MIRA","Multiplayer World Model Trained on Rocket League","title","Show HN: MIRA – Multiplayer World Model Trained on Rocket League","https:\u002F\u002Fmira-wm.com\u002F","mira-wm.com","MasterScrat",1783435887,2026,12,1,2712,4366,63,"shown","ai","world model","web_app",[21,24,25,26],"rocket league","multiplayer simulation","diffusion model","mixed",0.158,{"positive":30,"neutral":30,"mixed":31,"critical":15},4,0,9,{"idea":34,"performance":36},{"positive":35,"critical":15},2,{"positive":35,"critical":31},[31,38,39,38,15,31,38,39,38,39,31,31,31,39],5,3,null,{"problem":42,"audience":40,"pricing":40,"motivation":57,"time_to_build":40,"stack":62,"openness":71,"stage":72,"team_size":73},{"value":43,"source":44,"evidence":45},"Simulating multiplayer game worlds with a learned model, for research on world models","maker",[46,50,54],{"id":47,"by":48,"text":49},"48818741","_willmanning","it would have been easier to just go to FNAC and buy Rocket League like a normal person :)",{"id":51,"by":52,"text":53},"48819061","cataPhil","you should do that too! the goal is not to replace the game but to foster research on these method, and hopefully apply them to data-constrained settings like robotics",{"id":55,"by":11,"text":56},"48818950","We're happy to release MIRA, a collaboration between General Intuition, Kyutai, and Epic Games. Mira was trained on 10k hours of Rocket League data. The model has 5B parameters…",{"value":58,"source":59,"evidence":60},"Foster research on world-model methods, with applications to data-constrained settings like robotics","commenter",[61],{"id":51,"by":52,"text":53},[63,67],{"value":64,"source":44,"evidence":65},"5B parameter model",[66],{"id":55,"by":11,"text":56},{"value":68,"source":44,"evidence":69},"Runs on a single B200 GPU",[70],{"id":55,"by":11,"text":56},"unknown","launched","team",{"praise":75,"objections":105,"requests":110,"questions":118,"alternatives":130},[76,91,95],{"value":77,"source":59,"evidence":78},"Impressive coherence and near-infinite rollouts; feels like the real game",[79,83,87],{"id":80,"by":81,"text":82},"48948479","blackfireWM","I'm insanely impressed with MIRA! I mean WOW, I've been doing a lot of diffusion world model experiments and I had thought of trying stuff like \"visual anchors\" to support some…",{"id":84,"by":85,"text":86},"48818787","danking00","Wow! At first, I expected this to be a demonstration of an AI playing rocket league, but I rapidly realized this is actually a model simulating rocket league. Wild! It feels just…",{"id":88,"by":89,"text":90},"48818675","vvolhejn","Václav here from the team, we're happy to answer questions :) The most surprising part to me is the auto-recovery behavior we mention at the end of the blog post, since any other…",{"value":92,"source":59,"evidence":93},"Auto-recovery after going out of distribution is surprising",[94],{"id":88,"by":89,"text":90},{"value":96,"source":59,"evidence":97},"Multiplayer four-view input removes need to model other players",[98,101],{"id":99,"by":89,"text":100},"48818935","A lot actually, since the model has all information given to it in the four views, it doesn't have to deal with any \"theory of mind\" of modeling the other players or being…",{"id":102,"by":103,"text":104},"48818813","exortaz","this is insane - what’s your thinking on how this improves model grounding and efficiency vs single pov outputs?",[106],{"value":107,"source":59,"evidence":108},"Not as a replacement for playing the game",[109],{"id":47,"by":48,"text":49},[111],{"value":112,"source":59,"evidence":113},"Information on training compute",[114],{"id":115,"by":116,"text":117},"48820170","lostmsu","How much compute did it take to train the model?",[119,126],{"value":120,"source":59,"evidence":121},"Whether the model learned deeper world structure or just the training distribution",[122],{"id":123,"by":124,"text":125},"48836524","shay_ker","Great work! My question is about what you mentioned at the end - how well do world models operate when out of distribution? In some sense we hope these models learn something…",{"value":127,"source":59,"evidence":128},"How multiplayer improves grounding versus single-view outputs",[129],{"id":102,"by":103,"text":104},[131],{"value":132,"source":59,"evidence":133},"Playing Rocket League in the actual game",[134,135],{"id":47,"by":48,"text":49},{"id":136,"by":137,"text":138},"48818851","LorenDB","Is this now the easiest way to play Rocket League on Linux?",{"comments":35,"answered":15,"key":140},[141,144],{"id":142,"text":143},"48818865","The checkpoint also weights half less than the game install! ;-)",{"id":55,"text":56},{"commenters":14,"max_depth":35,"maker_replies":35,"first_comment_mins":15,"lifespan_hours":146},240,[148,152,154,156,158,160,162,163,164,166,168,170,174,177],[149,31,31,150,151,31],"48864373","other\u002Fneutral\u002Fnone","dang",[88,15,38,153,89,31],"maker\u002Fpositive\u002Fidea",[123,15,39,155,124,31],"project\u002Fneutral\u002Fidea",[80,15,38,157,81,31],"project\u002Fpositive\u002Fperformance",[47,35,15,159,48,31],"project\u002Fcritical\u002Fidea",[51,35,31,161,52,31],"commenter\u002Fneutral\u002Fidea",[84,39,38,157,85,31],[102,30,39,155,103,31],[99,30,38,165,89,31],"project\u002Fpositive\u002Fidea",[136,38,39,167,137,31],"project\u002Fneutral\u002Fnone",[142,38,31,169,11,15],"commenter\u002Fneutral\u002Fnone",[171,172,31,169,173,31],"48818881",6,"ggarnhart",[55,175,31,176,11,15],7,"project\u002Fneutral\u002Fdocs",[115,175,39,178,116,31],"project\u002Fneutral\u002Fperformance",[],[181,186,190,195,200,205],{"id":182,"name":183,"points":184,"category":185},"48821848","Davit",389,"dev_tools",{"id":187,"name":188,"points":189,"category":185},"48834924","Microsoft releases Flint",350,{"id":191,"name":192,"points":193,"category":194},"48816987","Yamanote.fun",238,"creative",{"id":196,"name":197,"points":198,"category":199},"48798153","Homegames",229,"games",{"id":201,"name":202,"points":203,"category":204},"48819808","Rowboat",219,"productivity",{"id":206,"name":207,"points":208,"category":209},"48786455","Follow London Trains in 3D",156,"consumer_social",false,"v2",{"id":213,"name":5,"line":6,"ai":210,"cat":20,"year":13,"points":14,"comments":15,"rec":27,"s":214,"top":18,"kw":215,"maker":11,"domain":10,"tier":19,"attempts":31,"strip":216,"url":9,"mix":217,"praise":77,"objection":107,"sub":21},48818661,0.16,[21,24,25,26],"05351053530003",[30,30,31,15],1793991158990]