20 October 2026
Google's Pichai and a new paper both address AI self-improvement and safety
First reported
Deep Learning Weekly ran this on , 4 days before the next source picked it up.
- Google CEO Sundar Pichai says the company is still far from fully self-improving AI, though it runs automated loops with its researchers.
- Pichai admits AI alignment, meaning making models behave as intended, still has clear gaps.
- Google's safety approach relies on layered defenses, real-time monitoring and controls for customers.
Our read
Only 2 of 30 newsletters covered this story, Big Technology and Deep Learning Weekly, which framed it differently. It follows Google's August 18 addition of safety controls to Workspace AI agents and its August 27 move of its AI safety team out of an independent lab.
Earlier on this story
Written by Newskeryx from which newsletters covered this story and from our own archive.
Where they differ
Big Technologypresents Pichai's remarks as a candid but reassuring account of safety work.
Deep Learning Weeklytreats the MASS paper as a route toward recursive self-improvement, so the two cover different things rather than disagreeing on the same claim.
What each one covered
Recursive self-improvement loops, alignment gaps, real-time monitoring, and deployment controls
MASS method and evolutionary workflow search, Qwen3.6-27B results, training efficiency of multi-agent traces