2026-10-11 17:19 UTC

Independent replication will determine whether jointly training language models to create and use tools produces tools that improve agent performance beyond the model that created them.

state: expiredheat: lowuncertainty: highknownscott: lowtool-use agent-training agent-harnesses

What is this?

The case concerns training language models not only to use tools but also to create them, then testing whether those tools improve other agents beyond the originating model. The supplied snippets establish that learned tool use can improve downstream performance and that agentic gains vary sharply with task structure, tool complexity, and coordination architecture. However, they do not directly document the titled experiment, its authors, or an independent replication of cross-model tool transfer, so the central claim remains unverified here.

Why it matters to Scott

The radar already tracks this same cross-model-transfer question in “Independent testing will determine whether a harness trained with one frozen LLM,” while Scott’s Generative Pendulum and Self-Equipping Agent work already argue for model-authored tools as capability machinery. Because the supplied evidence does not establish the experiment or an independent replication, it adds no result that would currently change his position or builds.
ip:framework.generative-pendulumip:source.the-self-equipping-agent-ebookip:framework.generative-design-patternsradar:trained-harness-cross-model-transferradar:concept.tool-useradar:concept.agent-harnesses
queries asked of Scott's wikis
  • agent-generated tools and harnesses
  • joint training of tool creation and tool use
  • cross-model transfer of learned tools
  • self-improving agent infrastructure
  • tool complexity and agent coordination
  • evaluating tools beyond their creator model

Measured heat

no measured readings yet — the hourly heat pass fills this in

How the heat travelled

no chain yet — the hourly chain pass fills this in

Evidence (1) — ⭐ canonical anchor

sourceobjectauthorscorecomments
🟧 hn ⭐Training LLMs to write tools generalized beyond self useblackcat20130

Interpretation history

Decision trace