[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-new-benchmark-shows-ai-struggles-to-judge-your-workout-form":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},6938,"new-benchmark-shows-ai-struggles-to-judge-your-workout-form","New Benchmark Shows AI Struggles to Judge Your Workout Form","FitAQA tests multimodal AI on 2,219 workout videos and finds models can spot exercises but struggle to pinpoint exactly what's wrong with your form.","A new benchmark says AI still can't reliably tell you if your squat form is bad.\n\nResearchers built FitAQA, a benchmark for testing multimodal AI models on fitness form-checking. It includes 2,219 workout videos and 5,512 question-and-answer pairs spanning 30 bodyweight exercises. Working with sports-science experts, the team built a taxonomy of 38 recurring form errors sorted into six categories: alignment, symmetry, stability, coordination, tempo, and completeness. The benchmark then tests models on three separate skills: spotting the relevant visual evidence, judging whether a movement was correct, and pinpointing when in the video a form error happened.\n\nThe results aren't flattering. Current multimodal models struggle to assess exercise quality comprehensively and are especially weak at localizing exactly when a form error occurs. The more telling finding: when researchers fed models the correct visual evidence directly, judgment accuracy improved substantially, meaning the models' weakness isn't reasoning about fitness, it's actually seeing what's happening in the video.\n\nThat's a useful, unglamorous distinction for anyone building an AI personal trainer: the bottleneck is computer vision, not domain knowledge, and it's not solved yet.","[\"ai\",\"benchmarks\",\"multimodal-models\",\"fitness-tech\"]","2026-09-18T04:00:00.000Z","2026-09-18T23:34:05.806Z","2026-09-18T23:34:17.715Z","published",null,[],"ai",[24,26,27,28],"benchmarks","multimodal-models","fitness-tech",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.08736",0,{"sections":35},[36,39,43,48,53,57,61,66,70,75,80,85,90,95],{"name":37,"slug":24,"count":38,"latest_published_at":18},"AI",4082,{"name":40,"slug":41,"count":42,"latest_published_at":18},"Security","security",661,{"name":44,"slug":45,"count":46,"latest_published_at":47},"Policy","policy",339,"2026-09-17T12:00:00.000Z",{"name":49,"slug":50,"count":51,"latest_published_at":52},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":54,"slug":55,"count":56,"latest_published_at":18},"Hardware","hardware",155,{"name":58,"slug":59,"count":60,"latest_published_at":18},"Science","science",125,{"name":62,"slug":63,"count":64,"latest_published_at":65},"Consumer Tech","consumer-tech",99,"2026-09-09T17:27:33.000Z",{"name":67,"slug":68,"count":69,"latest_published_at":18},"Dev Tools","dev-tools",78,{"name":71,"slug":72,"count":73,"latest_published_at":74},"Software","software",75,"2026-09-10T20:41:21.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":79},"Startups","startups",55,"2026-09-09T23:14:29.000Z",{"name":81,"slug":82,"count":83,"latest_published_at":84},"Gaming","gaming",43,"2026-09-10T12:18:06.000Z",{"name":86,"slug":87,"count":88,"latest_published_at":89},"General","general",41,"2026-09-08T01:57:23.000Z",{"name":91,"slug":92,"count":93,"latest_published_at":94},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":96,"slug":97,"count":98,"latest_published_at":99},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]