[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-ai-swarm-intelligence-cuts-estimation-error-by-37-points":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},3035,"ai-swarm-intelligence-cuts-estimation-error-by-37-points","AI Swarm Intelligence Cuts Estimation Error by 37 Points","Polling multiple LLMs and aggregating their answers slashes forecasting error, a controlled study of GPT-5, Gemini, and Claude finds.","Averaging answers across several AI models works better than asking one model once — and a new study puts numbers on how much better.\n\nResearchers ran 960 prompts across GPT-5, Gemini 2.5 Pro, and Claude Sonnet 4.5, testing eight estimation tasks. They tried two aggregation approaches: sampling the same model multiple times (intra-model) and combining outputs across different models (inter-model). Both cut error. The best strategies reduced mean absolute percentage error by up to 37 percentage points. The study also found that models showed signs of metacognitive awareness — their expressed uncertainty correlated meaningfully with how wrong they actually were (Spearman's rho between 0.242 and 0.568).\n\nThe finding matters because it gives organizations a practical lever they already control: run the same query against multiple models, or multiple times, and average the results. No new architecture required. The metacognition result is the more surprising piece — if a model's confidence intervals reliably track its error rate, that uncertainty signal becomes genuinely useful, not just decorative.\n\nHuman swarm intelligence research has shown crowds outperform individuals for decades; the open question was always whether the effect would survive replacing humans with AI. Apparently it does, at least on estimation tasks — though calling it \"wisdom of the crowd\" when the crowd is three API endpoints is doing some heavy lifting.","[\"ai\",\"llms\",\"research\",\"decision-making\"]","2026-07-01T04:00:00.000Z","2026-07-01T05:40:54.509Z","2026-07-01T05:40:57.292Z","published",null,[],"ai",[24,26,27,28],"llms","research","decision-making",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.31404",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"]