Jev-style primitives reinforce the unbundling and rebundling theory of agents
The author argues that with decision primitives like Jev emerging, agents should be rebuilt around specific tasks with rebundled tools and eval data rather than chasing a universal model.
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 🤝
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