These days, you can pretty much solve any task by defining an eval and hillclimbing over it, instead...
TL;DR · AI 摘要
Jerry Liu on X: "These days, you can pretty much solve any task by defining an eval and hillclimbing over it, instead of...
核心要点
- 主题聚焦：These days, you can pretty much solve any task b
- 来源：Jerry Liu(@jerryjliu0)，建议结合原文判断细节。
- AI 分析暂不可用，本条为保底评分与摘要。
Jerry Liu on X: "These days, you can pretty much solve any task by defining an eval and hillclimbing over it, instead of directly defining the deterministic/agentic workflow to solve it. The data provider companies' entire job is to define evals for all economic activity to make the frontier model… / X
Jerry Liu
@jerryjliu0
These days, you can pretty much solve any task by defining an eval and hillclimbing over it, instead of directly defining the deterministic/agentic workflow to solve it. The data provider companies' entire job is to define evals for all economic activity to make the frontier models capable of doing anything. Your job then becomes pointing frontier intelligence in the right direction - defining what to solve, and how to measure what good looks like. Agent application interfaces will evolve to capture this. The most complex processes will still need some sort of explicit workflow builder interface, but most tasks can be compressed into goals and eval instructions.
5:58 AM · Oct 9, 2026
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