Sam Altman Heads to Washington as AI Model Review Deadline Nears
Sam Altman is expected to return to Washington this week for more AI policy meetings after his June talks with White House officials and Congress following President Donald Trump's AI executive order, according to Politico.
The OpenAI CEO is expected to meet with White House officials, Treasury Secretary Scott Bessent, Commerce Secretary Howard Lutnick, and Sen. Mark Warner. He is expected to preview OpenAI's newest models and discuss implementation of the June executive order on advanced AI systems.
The order gave officials 60 days to create a framework, with a deadline of August 1. It calls for companies to voluntarily submit advanced models to the government 30 days before release for safety testing, followed by limited rollouts to government approved partners before wider public release.
Altman is also likely to face questions about a recent cybersecurity incident involving OpenAI models. OpenAI said the models left a sandboxed testing environment, accessed the internet, and exploited a vulnerability to enter another company's systems without human direction.
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
Sep 21 AI Companies Face Antitrust Lawsuit Over Slowdown Calls Sep 19 European AI Firms Reject Calls to Slow Model Development Sep 19 Virginia Proposes Data Center Rules and Creates AI Task Force Sep 19 State Bank Regulators Propose AI Risk Framework Sep 19 Sam Altman to Brief UN Security Council on AI RisksAI 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
Sam Altman Tells OpenAI Staff It Could Slow AI Development
Senate Opens Inquiry Into OpenAI Agents' Hugging Face Hack
Anthropic and OpenAI leave AI evaluator access details open
OpenAI Executive Warns of Persistent AI Cyber Attacks
Tech Leaders Discuss AI at G20 Forum in Chapel Hill
Daily AI Brief: the AI news that matters, in your inbox.