Shared Fisher‑Rao geometry enables universal control
This story is from 2026-10-12. It is preserved in the archive; the latest stories are on the live feed.
Next‑token probability distributions across disparate LLM families converge on an almost identical Fisher‑Rao metric. That convergence lets us apply a single low‑disturbance intervention to steer any transformer, state‑space or recurrent model safely. Prior to this work, many existing control metho…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-10-12 05:00 · DEV Community — Machine Learning
Shared Fisher‑Rao geometry enables universal control