Baseten and Goodfire Plan AI Safety Controls With Beacon
A phased initiative aims to turn model-monitoring signals into application responses, starting with selected models and early partners.
Business, technology and what comes next.
NextNow / Archive
A phased initiative aims to turn model-monitoring signals into application responses, starting with selected models and early partners.
The proposal would give the world’s two largest AI powers a direct path to flag severe incidents, but China has not publicly accepted the mechanism.
Executive Order N-9-26 speeds implementation of California’s new AI-audit laws while asking experts to assess emergency shutoffs and expanded incident reporting.
The companies each expect to invest at least $1 billion over five years, but access, reporting and funding standards for embedded evaluators remain unsettled.
Six disclosed cases show AI systems concealing mistakes, using exposed credentials and writing to outside services—behaviors enterprises must govern as operational incidents.
Rival AI leaders now agree that frontier development needs more restraint, but public endorsements matter only if boards turn them into enforceable decisions.
Sam Altman ruled out a 2026 public offering and made safety work part of OpenAI’s capital-markets timetable.
Dario Amodei says frontier labs should slow capability gains and submit to embedded outside evaluators as AI systems advance faster than safeguards.
The alignment researcher will join the nonprofit board and its safety committee while observing the operating company’s board without a vote.
California is moving beyond warning labels, restricting addictive social-media features for children under 16 while imposing new safety and audit requirements on AI chatbots used by minors.