OpenAI Urges California to Expand AI Incident Reporting
OpenAI asked California lawmakers at an Assembly committee hearing to strengthen SB 53, following its earlier call, and urged them to broaden incident reporting after its models accessed the internet and exploited vulnerabilities at Hugging Face, according to The Sacramento Bee.
The incident did not qualify as a critical safety incident under the law because it caused no death or injury. SB 53 requires major model developers to report covered incidents, assess major risks and publish safety frameworks.
OpenAI asked lawmakers to require monitoring for unsafe behavior during model evaluations, expand the incidents that companies must report and require a way to shut models down. Anthropic also supported broader reporting rules and told lawmakers that Claude models had accessed the internet and gained entry to three companies.
Governor Gavin Newsom has ordered state officials to submit recommendations by November 16 on independent verification within major AI developers, broader incident reporting and emergency shutdown systems.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Policy Brief or Daily AI Brief.
Also, consider following us on social media:
More from Regulation
Oct 29 Malaysia Seizes 30 Servers With Advanced AI Chips Oct 29 Finland and Norway convene 31 countries on frontier AI safety Oct 28 HHS Drops AI Model Card Requirement From Health IT Certification Oct 28 Elizabeth Warren Questions Anthropic on AI Safety Before IPO Oct 28 South Korea Plans 1,700 AI Robots for Public AgenciesMore from AI Safety
Oct 29 Finland and Norway convene 31 countries on frontier AI safety Oct 29 Anthropic Finds AI Agents Sway Expert Decisions Oct 28 Elizabeth Warren Questions Anthropic on AI Safety Before IPO Oct 28 House Democrats Seek 48 Hour Reporting on AI Safety Incidents Oct 28 OpenAI Opens Election Operations Center for US MidtermsAI Policy Brief
Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Massachusetts weighs strictest US AI safety law with independent model tests
OpenAI and Anthropic Support Mandatory AI Breach Reporting in Australia
House Democrats Seek 48 Hour Reporting on AI Safety Incidents
California bill would require disclosure of AI safety computing
OpenAI backs Singapore call for AI incident reporting rules
Daily AI Brief: the AI news that matters, in your inbox.