The BaseEssayLessWrong
Three perspectives on corrigibility - shards, simulators, singular learning
According to the excerpt, jwfiredragon, in a post first drafted at the ML4Good bootcamp, asks whether a corrigible agent could be built. The author says it once looked impossible, but newer theories of how language models learn suggest it may be possible with care, and defines terms before comparing three perspectives.
Why it matters
The same thing, for different readers.
For researchers
Compares three theoretical lenses on whether models can be made correctable; a student-level conceptual piece rather than a result.
The record
- Questions
- Can AI systems act beyond what people intended or allowed? · Are AI companies putting stronger safeguards into practice?
- People
- jwfiredragon (Wrote it)
- What we read
- We have read only the description the publisher gives. No quotations until someone reads the source itself.
- Found by
- The Radar, run of October 16, 2026, via
lesswrong(tier 1: the source’s own channel or an official record) - Cite this
- LessWrong, “Three perspectives on corrigibility - shards, simulators, singular learning”, October 16, 2026. Entry in the Ctrl AI Base, https://ctrlai.com/base/lesswrong-2026-10-16-three-perspectives-corrigibility
Our notesLight lane: excerpt only; much of it was formatting code. The three perspectives' details were not seen.