[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-aggregator-meta-duke-and-uc-davis-researc1701a103f7-7c68-7a19-93e3-dcd06026261f":3},{"id":4,"timestamp":5,"title":6,"content":7,"link":8,"preview":9,"tags":10,"predictedTags":11,"showTags":11,"source":12,"reactions":13,"selfReactions":14,"logo":15,"sourceId":16,"sourceUserId":17,"asset":18,"tagsCategories":19,"totalComments":20,"lang":21,"unique_views_count":22,"enrichStatus":23,"triageKind":24,"triageImportance":25,"expandEligible":26,"summarizeEligible":26,"eventEligible":26,"eventType":27,"eventAction":27},"meta-duke-and-uc-davis-researc1701a103f7-7c68-7a19-93e3-dcd06026261f","1791067559000","Meta, Duke and UC Davis researchers unveil self-improving branches for agent harness optimization","\u003Cp>This advancement highlights the potential of optimizing AI environments to enhance performance, raising questions about scalability and complexity.\u003C/p>\u003Cp>The post \u003Ca href=\"https://cryptobriefing.com/meta-self-improving-agent-harness-optimization/\">Meta, Duke and UC Davis researchers unveil self-improving branches for agent harness optimization\u003C/a> appeared first on \u003Ca href=\"https://cryptobriefing.com\">Crypto Briefing\u003C/a>.\u003C/p>","https://cryptobriefing.com/meta-self-improving-agent-harness-optimization/","https://static.cryptobriefing.com/wp-content/uploads/2026/10/03184555/library-meta-duke-and-uc-davis-researchers-unveil-self-improving-800x450.png","[\"AI\"]","[]","17",[],[],"https://toscalepublic.s3.eu-west-2.amazonaws.com/images/news-feeds/sources/crypto-briefing.png","Crypto Briefing",null,"","[\"Crypto\"]","0","EN","3","done","other",1,false,"none"]