Revocable Learned State via Process Sidecars
Article summary
Quick briefing — cleaned from the original RSS feed
arXiv:2606.30788v1 Announce Type: new Abstract: Language models are often adapted in stages: a public skill phase, a private memory phase, and a later safety phase that learns to refuse outputs tied to the remembered entities. Revoking the memory after the safety phase is not the same problem as subtracting the memory update: the later safety optimizer has transported the memory direction. We introduce process sidecars, a two-coefficient edit family…
1Key Takeaways
- arXiv:2606.30788v1 Announce Type: new Abstract: Language models are often adapted in stages: a public skill phase, a private memory phase, and a later safety phase that learns to refuse outputs tied to the remembered entities.
- Revoking the memory after the safety phase is not the same problem as subtracting the memory update: the later safety optimizer has transported the memory direction.
- We introduce process sidecars, a two-coefficient edit family….
2AIWedia Score
10/10
Must-read — high impact for AI builders
Based on source trust, recency, category impact, and story depth.
3Why it matters
Research breakthroughs often arrive in products months later—early signals matter for strategy. arXiv ML reports that arXiv:2606.30788v1 Announce Type: new Abstract: Language models are often adapted in stages: a public skill phase, a private memory phase, and a later safety phase that learns to refuse outputs tied to the remembered entities.
Explore related
Browse toolsRelated tools
Research news
Explore curated research tools on AIWedia — compare, rank, and launch from our directory.
Full story on arXiv ML
Read full articleHeadlines aggregated via RSS for discovery on AIWedia. Original content © arXiv ML. We link to the source and do not republish full articles.