[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-streaming-data":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"86d136ac-796f-4e18-8025-41a1837af2ca","streaming data","streaming-data",1,null,[11],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"13b6551e-f990-4e6b-aa8d-e410b134df43","task-boundaries-can-skew-continual-learning-results-en","Task boundaries can skew continual learning results","A new paper shows that how you split a stream into tasks can change continual learning results, even when the data, model, and budget stay fixed.","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777010808102-k8tq.png","en","2026-04-24T06:06:31.283203+00:00"]