[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-new-method-lets-different-ai-models-share-cache-skip-re-reading":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},9243,"new-method-lets-different-ai-models-share-cache-skip-re-reading","New Method Lets Different AI Models Share Cache, Skip Re-Reading","A new technique called HeteroFold lets AI models from different families share cached context, cutting redundant reprocessing in multi-agent systems.","A new technique lets AI models from different vendors trade pre-processed context directly, skipping the step where each one rereads everything from scratch.\n\nResearchers describe HeteroFold, a method for transferring a model's key-value cache, the internal representation of everything it has already read, to a completely different model family without retraining either one. The method aligns the two models' internal structures, maps the sender's cache into a format the receiver understands, and calibrates it so the receiver's behavior does not degrade. Tested across six model-to-model transfer directions, it beat prior cache-transfer methods on four long-context benchmarks and most short-context tests, and matched plain text communication on a multi-agent benchmark. In one test case, moving context from Llama-3.1-8B to Ministral-3-14B at 32K tokens ran 10.7 times faster than standard prefill, and 1.18 to 1.47 times faster than the best existing prefill-free alternatives.\n\nThe real target here is multi-agent AI systems, which increasingly mix models from different makers for different jobs, one for planning, another for coding, another for retrieval. Today, handing a task from one model to another usually means the receiving model re-reads all the shared context from the start, burning time and compute on work already done. Removing that redundancy without touching either model's weights is what makes this useful outside a research lab.\n\nIt is still a lab result tested on specific model pairs, not a drop-in standard, so treat the speedup numbers as a ceiling rather than a guarantee for your own stack.","[\"ai\",\"llm\",\"multi-agent-systems\",\"research\"]","2026-10-01T04:00:00.000Z","2026-10-02T04:18:38.610Z","2026-10-02T04:18:42.570Z","published",null,[],"ai",[24,26,27,28],"llm","multi-agent-systems","research",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.32259",0,{"sections":35},[36,39,43,47,52,57,61,66,71,75,80,85,90,95],{"name":37,"slug":24,"count":38,"latest_published_at":18},"AI",5659,{"name":40,"slug":41,"count":42,"latest_published_at":18},"Security","security",818,{"name":44,"slug":45,"count":46,"latest_published_at":18},"Policy","policy",430,{"name":48,"slug":49,"count":50,"latest_published_at":51},"Deals","deals",298,"2026-09-30T21:00:26.000Z",{"name":53,"slug":54,"count":55,"latest_published_at":56},"Hardware","hardware",196,"2026-09-30T13:00:00.000Z",{"name":58,"slug":59,"count":60,"latest_published_at":18},"Science","science",163,{"name":62,"slug":63,"count":64,"latest_published_at":65},"Consumer Tech","consumer-tech",149,"2026-09-30T22:57:11.000Z",{"name":67,"slug":68,"count":69,"latest_published_at":70},"Dev Tools","dev-tools",93,"2026-10-01T02:30:48.000Z",{"name":72,"slug":73,"count":69,"latest_published_at":74},"Software","software","2026-09-30T21:41:11.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":79},"Startups","startups",84,"2026-09-30T20:39:09.000Z",{"name":81,"slug":82,"count":83,"latest_published_at":84},"Gaming","gaming",51,"2026-09-30T16:24:30.000Z",{"name":86,"slug":87,"count":88,"latest_published_at":89},"General","general",50,"2026-09-30T21:37:54.000Z",{"name":91,"slug":92,"count":93,"latest_published_at":94},"Reviews","reviews",31,"2026-09-28T14:31:34.000Z",{"name":96,"slug":97,"count":98,"latest_published_at":99},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]