[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"glossary-articles-chain-of-thought-en":3},[4,17,28,37,47],{"id":5,"slug":6,"title":7,"summary":8,"source":9,"category":10,"image_url":11,"cover_image":11,"language":12,"views":13,"created_at":14,"published_at":15,"topic_cluster_id":16,"topic_clusters":16},"0c006cb0-0acc-43c4-baba-ab78092f0d9b","kimi-k2-6-benchlm-2026-scores-en","Kimi K2.6 Scores: BenchLM’s 2026 Breakdown","Kimi K2.6 ranks #12 overall on BenchLM, with strong coding and agentic scores, plus a 256K context window and open weights.","benchlm.ai","model-release","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777900276785-cezo.png","en",8,"2026-05-04T13:10:39.364394+00:00","2026-05-04T13:10:39.337+00:00",null,{"id":18,"slug":19,"title":20,"summary":21,"source":22,"category":23,"image_url":24,"cover_image":24,"language":12,"views":25,"created_at":26,"published_at":27,"topic_cluster_id":16,"topic_clusters":16},"9f62add5-cae5-47eb-abd5-2e56d0d5698c","longcot-long-horizon-chain-of-thought-benchmark-en","LongCoT Benchmark: 2,500-Probl. Long-Horizon Reasoning","LongCoT is a 2,500-problem benchmark for measuring whether frontier models can sustain long, interdependent reasoning chains.","arxiv.org","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776319782523-s0wz.png",0,"2026-04-16T06:09:23.265233+00:00","2026-04-16T06:09:23.233+00:00",{"id":29,"slug":30,"title":31,"summary":32,"source":9,"category":10,"image_url":33,"cover_image":33,"language":12,"views":34,"created_at":35,"published_at":36,"topic_cluster_id":16,"topic_clusters":16},"cb45188a-2e6e-4ac7-95f0-39cbd2f7d7a2","gpt-5-4-benchmarks-2026-scores-rankings-en","GPT-5.4 Scores 97.6 in Knowledge Benchmarks","GPT-5.4 tops knowledge benchmarks with 97.6, ranks #2 overall on BenchLM, and posts a 1.05M-token context window.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776082204490-nq2r.png",2,"2026-04-13T12:09:40.792366+00:00","2026-04-13T12:09:40.716+00:00",{"id":38,"slug":39,"title":40,"summary":41,"source":42,"category":43,"image_url":44,"cover_image":44,"language":12,"views":34,"created_at":45,"published_at":46,"topic_cluster_id":16,"topic_clusters":16},"28a1b97c-06c1-4112-8fb5-a9ff8e58fcd9","prompt-engineering-agents-structured-outputs-en","Prompt Engineering for Agents and Structured Outputs","Prompt engineering gets harder in production: reasoning, long contexts, JSON contracts, and agent loops all need different prompt tactics.","codefinity.com","ai-agent","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775164941484-fp41.png","2026-04-02T21:21:45.840568+00:00","2026-04-02T21:21:45.817+00:00",{"id":48,"slug":49,"title":50,"summary":51,"source":52,"category":53,"image_url":54,"cover_image":54,"language":12,"views":55,"created_at":56,"published_at":57,"topic_cluster_id":16,"topic_clusters":16},"738e7f42-6aac-4342-9cf8-31818fc2c74d","prompt-engineering-explained-without-the-hype-en","Prompt Engineering, Explained Without the Hype","Prompt engineering turns vague requests into usable AI outputs. AWS breaks down the methods, use cases, and tradeoffs behind better prompts.","aws.amazon.com","tools","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775164735997-2du2.png",1,"2026-04-02T21:18:36.566316+00:00","2026-04-02T21:18:36.49+00:00"]