TechCrunch AI
·
14 hours ago
Chris Fall resigned as director of the Center for AI Standards and Innovation after three months, marking the third leadership departure at the agency in six months; previous directors Collin Burns and David Sacks also left within weeks of their appointments. The agency, which operates under NIST and is responsible for developing AI testing standards and assessing cybersecurity risks, was notably excluded from the White House's new "Gold Eagle" AI safety oversight program announced this month. CAISI's instability coincides with broader tension in the Trump administration's AI policy, including conflicts with Anthropic and ongoing debates over regulating Chinese AI models, leaving the primary U.S. organization for AI standards without consistent leadership.
Sifted
·
19 hours ago
● 2 sources
The UK's new prime minister Andy Burnham appointed Jonathan Reynolds as secretary of state for business, innovation, science and trade, merging the department for science, innovation and technology (DSIT) into a combined department. DSIT, created in 2023, previously oversaw AI initiatives including the UK's AI Opportunities Action Plan and the AI Security Institute. The merger drew criticism from tech leaders and investors who worry the reorganisation will divert focus from AI and digital policy delivery.
Simon Willison
·
19 hours ago
● 9 sources
Ben Thompson proposes US legislation to establish data collection for model training as fair use and ban terms of service prohibiting model distillation, allowing open-source models to compete with Chinese alternatives. Alibaba released Qwen 3.8 Max as open weights after keeping Qwen 3.7 Max closed in May, possibly following Xi Jinping's recent remarks encouraging open-source development. The policy would indemnify AI labs while enabling wider innovation from collected training data and shift competitive dynamics in the global AI market.
Import AI
·
1 day ago
● 10 sources
The UK government found that open-weight AI models are closing the cybersecurity capability gap with proprietary models, with recent models trailing frontier systems by only 4–7 months instead of 6–10 months. Kimi K3, a 2.8 trillion parameter Chinese model, demonstrated frontier-level performance on major benchmarks and showed capability in building AI tools like compilers and chip designs, with weights to be released publicly in coming weeks. Open model proliferation will reshape AI policy from one based on controlling a few proprietary platforms to managing widely diffused, uncontrollable systems, while Demis Hassabis proposed a regulatory framework modeled on FINRA for testing frontier AI systems before release.
The Verge
·
1 day ago
Harvard historian Jill Lepore argues in her new book that AI and quantification systems have gradually replaced meaningful civic engagement with automated decision-making, creating what she calls the 'artificial state' where private corporations and bots dominate public discourse instead of democratic deliberation. The acceleration spans from 1930s political polling through 1980s microtargeting to today's AI-driven campaigns, where citizens increasingly outsource voting decisions to chatbots while campaign messages are generated and targeted by AI. Lepore sees hope in public backlash—like college students booing tech CEOs—as necessary pressure to choose a different future rather than sleepwalking into the dystopian model Silicon Valley billionaires seem to be building.
Sifted
·
1 day ago
● 2 sources
UK tech industry leaders have warned that incoming Prime Minister Andy Burnham's reported plans to dismantle the Department for Science, Innovation and Technology (DSIT) and redistribute its responsibilities across other departments risk disrupting the country's tech agenda. DSIT was established in 2023 and has operated for three years overseeing initiatives including the UK's AI Opportunities Action Plan, sovereign compute investment, and the AI Security Institute. Industry figures argue that departmental reorganizations typically consume a year of productivity and would divert senior officials from critical work on AI policy and digital infrastructure at a time when tech is increasingly important to economic growth and national security.
