[{"data":1,"prerenderedAt":79},["ShallowReactive",2],{"maker-vforno":3},[4,35,60],{"id":5,"name":6,"line":7,"ai":8,"cat":9,"year":10,"points":11,"comments":12,"rec":13,"s":14,"top":15,"kw":16,"maker":21,"domain":22,"tier":23,"attempts":24,"strip":25,"url":26,"mix":27,"praise":32,"objection":33,"sub":34},48710778,"NanoEuler","GPT-2 scale model in pure C\u002FCUDA from scratch",false,"ai",2026,55,26,"debated",-0.04,27,[17,18,19,20],"cuda","gpt-2 from scratch","transformer training","c cuda llm","vforno","github.com","notable",2,"30103010305030501030000105","https:\u002F\u002Fgithub.com\u002FJustVugg\u002Fnanoeuler",[28,29,30,31],3,5,0,4,"Interesting and educational project","Training is slower than PyTorch, about 1.5-2.5x","language model training from scratch",{"id":36,"name":37,"line":38,"ai":8,"cat":9,"year":10,"points":39,"comments":40,"rec":41,"s":42,"top":43,"kw":44,"maker":21,"domain":22,"tier":50,"attempts":30,"strip":51,"url":52,"mix":53,"praise":57,"objection":58,"sub":59},48842459,"colibri","Getting GLM 5.2 running on my slow computer",937,240,"curious",0.18,1,[45,46,47,48,49],"local llm","glm 5.2","ssd offloading","mixture of experts","inference engine","legend","0035354400302454404143544335353344433434","https:\u002F\u002Fgithub.com\u002FJustVugg\u002Fcolibri",[54,55,31,56],32,81,10,"Impressive technical achievement running a huge model on modest hardware","Speed around 0.05 to 1 token per second is too slow for practical use","local llm inference",{"id":61,"name":62,"line":63,"ai":8,"cat":9,"year":10,"points":64,"comments":65,"rec":13,"s":66,"top":67,"kw":68,"maker":21,"domain":22,"tier":72,"attempts":24,"strip":73,"url":74,"mix":75,"praise":76,"objection":77,"sub":78},49293523,"Lumabri","Run Moe Models on a P2P Swarm with Colibri",48,19,0.21,29,[48,69,70,45,71],"p2p inference","distributed llm","expert offloading","shown","3530305303011105050","https:\u002F\u002Fgithub.com\u002FJustVugg\u002Flumabri",[31,31,43,28],"Interesting idea for distributed local inference","Floating-point results may not be deterministic across hardware, weakening verification","distributed llm inference",1794036827231]