swyx 🐣@swyx · XCognition发布基于强化学习的bug检测模型SWE-check，在匹配前沿模型性能的同时实现10倍推理加速。作者提出AI工程的核心范式：通过模型与工具组合推动AI帕累托前沿，而非直接突破模型边界；应采用"先最大化能力再蒸馏"的策略。Applied Compute正为多家Agent Lab提供算力基础设施。AI领域仅存在两种商业模式：能力整合与能力拆分。
proud to see @excalidraw evangelism catching on at cog
the insight here is more general than bugchecking： - All Engineering is about making tradeoffs - AI Engineering is about pushing AI Pareto Frontiers with any combo of model + harness at your disposal - Don't try to directly break a model frontier - instead you should first capabilitymaxx， then distil - this works ~basically every time 【citation needed】 - @appliedcompute is arms dealer to every Agent Lab doing this sort of thing rn， it's really fascinating to see this deployed on every high volume AI problem
only 2 ways to make money in AI： bundling capabilities， and unbundling them！