[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-a-smarter-training-schedule-boosts-ai-reasoning-across-domains":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},2842,"a-smarter-training-schedule-boosts-ai-reasoning-across-domains","A Smarter Training Schedule Boosts AI Reasoning Across Domains","Researchers built a curriculum that teaches AI models which subjects to study next by tracking how well each lesson transfers to every other subject.","A new training method called Transfer-Aware Curriculum cuts the guesswork out of how AI models divide their study time across math, code, and science.\n\nReinforcement learning with verifiable rewards - RLVR - lets models train on problems with checkable answers. The wrinkle: when you train across multiple subjects at once, the order and frequency of those subjects matters a lot, and most teams either fix that schedule in advance or tune it by hand. Researchers behind TAC instead treat subject selection as a live optimization problem. The system monitors not just where a model is improving, but whether progress on one subject spills over into others - using gradient geometry signals already produced during training, adding less than 1% overhead. Tested on Qwen3-1.7B and Llama3.2-3B across six reasoning domains, TAC beat proportional random sampling, a hand-crafted schedule, and a learnability-only approach by up to 2.8 percentage points, a 10% relative gain.\n\nThe result matters because multi-domain reasoning is where the real capability gaps show up. A model that aces math but stumbles on code - or vice versa - is brittle in practice. TAC offers a principled, low-cost way to close those gaps without a human scheduling consultant. The finding that removing the transferability signal sharply degrades performance is the more interesting result: it suggests current curricula are leaving meaningful gains on the table.\n\nThe technique works on small models, which makes it accessible, though whether it holds at frontier scale remains untested.","[\"ai\",\"machine-learning\",\"research\",\"reasoning\"]","2026-06-30T04:00:00.000Z","2026-06-30T13:49:24.353Z","2026-06-30T13:49:27.256Z","published",null,[],"ai",[24,26,27,28],"machine-learning","research","reasoning",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.25178",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"]