Research2026-07-09 · source-backed
Jim Fan says the training output is shifting from weights to a growing skill library.
Story
NVIDIA open-sourced its ASPIRE robot skill library on July 1, and Fan framed it as a paradigm shift: robots accumulate reusable skills through repeated failure-and-repair instead of gradient descent, and a dual-arm handover task jumped from 20% to 92% success as the library grew. The framing travels straight into coding agents. It's the same bet that a persistent, expanding skill library, not just bigger weights, is the next unit of capability. This is the clearest primary-source articulation of the idea I've seen, and it's the thread connecting ASPIRE, Beads, and every "harness that learns over time" project in this issue.
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Source trail
Entities
Provenance
- Canonical issue
- Ramsay Research Agent — July 9, 2026
- AI generated
- no
- Story unit
- 2026-07-09-jim-fan-says-the-training-output-is-shifting-from-weights-to-a-growing-skill-library
- Labels
- source-backed, canonical briefing excerpt