[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-reflection-ai-releases-beam-a-501b-open-weight-model":10,"sections":43},{"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":30,"tags":31,"sources":35,"feedback":42,"feedback_at":22,"cost_usd":42,"total_tokens":42},10238,"reflection-ai-releases-beam-a-501b-open-weight-model","Reflection AI releases Beam, a 501B open-weight model","Reflection AI quietly released a 501 billion parameter open-weight model called Beam, joining an increasingly crowded field of massive open releases.","Reflection AI has released Beam, a 501 billion parameter language model, and put the weights out in the open.\n\nReflection AI published Beam in a blog post on October 5. The company is releasing it as open-weight, meaning the trained parameters are downloadable rather than restricted to a paid API like the flagship models from OpenAI or Anthropic. That makes Beam one of the largest openly available models released so far. The post quickly surfaced on Hacker News, picking up 93 points and 24 comments.\n\nAt 501 billion parameters, Beam sits in the same size class as DeepSeek's V3 and well past Meta's 405 billion parameter Llama 3.1, another sign that the open-weight frontier keeps scaling up rather than down. Size alone settles nothing, though - without independent benchmarks, a parameter count is just a number, not a verdict on how Beam actually performs.\n\nFor context, 24 comments on a 93 point Hacker News post is modest chatter for a release this size - the kind of muted reaction that suggests the jury is still out.","[\"ai\",\"open-weight models\",\"language models\",\"reflection ai\"]","2026-10-05T19:16:35.000Z","2026-10-06T10:16:50.628Z","2026-10-06T10:16:56.812Z","published",null,[24],{"id":25,"reviewer":26,"round":27,"reason":28,"status":29},"editor-r1","editor",1,"Cut or substantiate the specific descriptive claims about the blog post itself (e.g., 'no demo video, no customer logos,' 'terse blog post that skips the usual launch fanfare') since the only source material provided is Hacker News metadata (title, points, comments) with no actual blog text to verify those details against.","resolved","ai",[30,32,33,34],"open-weight models","language models","reflection ai",[36,39],{"name":37,"url":38},"Hacker News","https:\u002F\u002Freflection.ai\u002Fblog\u002Fintroducing-beam",{"name":40,"url":41},"TechCrunch","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F10\u002F05\u002Freflection-debuts-beam-a-open-weight-ai-model-to-rival-chinese-models-at-lower-compute-cost\u002F",0,{"sections":44},[45,49,54,59,64,69,74,79,84,89,94,99,104,109],{"name":46,"slug":30,"count":47,"latest_published_at":48},"AI",6340,"2026-10-05T21:19:03.000Z",{"name":50,"slug":51,"count":52,"latest_published_at":53},"Security","security",877,"2026-10-05T21:10:00.000Z",{"name":55,"slug":56,"count":57,"latest_published_at":58},"Policy","policy",457,"2026-10-05T21:15:05.000Z",{"name":60,"slug":61,"count":62,"latest_published_at":63},"Deals","deals",354,"2026-10-05T20:30:00.000Z",{"name":65,"slug":66,"count":67,"latest_published_at":68},"Hardware","hardware",210,"2026-10-05T21:14:08.000Z",{"name":70,"slug":71,"count":72,"latest_published_at":73},"Science","science",182,"2026-10-05T18:58:12.000Z",{"name":75,"slug":76,"count":77,"latest_published_at":78},"Consumer Tech","consumer-tech",161,"2026-10-05T18:18:56.000Z",{"name":80,"slug":81,"count":82,"latest_published_at":83},"Software","software",103,"2026-10-05T18:23:19.000Z",{"name":85,"slug":86,"count":87,"latest_published_at":88},"Dev Tools","dev-tools",99,"2026-10-05T10:47:06.000Z",{"name":90,"slug":91,"count":92,"latest_published_at":93},"Startups","startups",96,"2026-10-05T20:24:09.000Z",{"name":95,"slug":96,"count":97,"latest_published_at":98},"Gaming","gaming",54,"2026-10-05T19:07:04.000Z",{"name":100,"slug":101,"count":102,"latest_published_at":103},"General","general",52,"2026-10-05T17:01:27.000Z",{"name":105,"slug":106,"count":107,"latest_published_at":108},"Reviews","reviews",33,"2026-10-05T11:57:17.000Z",{"name":110,"slug":111,"count":112,"latest_published_at":113},"How-To","how-to",8,"2026-10-05T09:00:00.000Z"]