Jev 等原语推动 Agent 拆解重组论
作者认为 Jev 这类决策原语出现后，Agent 应针对具体任务重组工具与评测数据，而非追求通用模型。
every time a new step model step change happens or great primitive (like Jev) is released i grow more confident in the Unbundling and Rebundling theory of Agents the Harness is a box in which we put the best tooling for a given Task increasingly clear that: - there is no such thing as a universal model or harness -> there is only best for a given Task or Domain - we can rebundle tooling from multiple agents to build the best thing for our Task - Evals and Data are the most important layer -> they’re how you both measure and build the specialized the system the most dangerous builder is the one who obsessively looks at their data, ignores all other hype architecture patterns, and builds the best harness for their task by stealing the minimum + optimal set of primitives for their task yes @JayaGup10 🤝
这条是引用着另一条写的：x.com/vtrivedy10/status/2037581583578775929