Welcome to Eye on AI. Beatrice Nolan here. In today’s issue: This week, the major players in the AI industry met with the U.S. government in a bid to end the confusion around the regulation of frontier AI models. The meeting was convened at the White House on Tuesday, and featured OpenAI, Anthropic, Google, Meta,
Technicians joined the Orion crew and service modules together on July 30, 2026, inside the Neil Armstrong Operations and Checkout Building at NASA’s Kennedy Space Center in Florida. The crew module will carry and sustain NASA astronauts Randy Bresnik, Andre Douglas, and Frank Rubio, and ESA (European Space Agency) astronaut Luca Parmitano, while the service
AI is reshaping Uber — gradually, and as it keeps a handle on AI spending. The ride-hailing company kept a lid on its token spending during the second quarter by “by setting better defaults for different use cases,” using lower-cost models for some tasks, and “letting employees more clearly understand and manage their spend,” CFO
Indian electric vehicle startup River on Wednesday said it had raised $120 million to scale manufacturing for its next phase of growth. The Series C round was led by Indian investors Elev8 Venture Partners and Claypond Capital, with participation from Singularity AMC, Anicut Capital, 360 ONE Asset, JIF Capital, and HDFC AMC, alongside existing backers
As policymakers debate how to govern increasingly powerful AI systems like OpenAI’s GPT-5.6 Sol and Anthropic’s Mythos, a Chinese open-weight model has narrowed the gap with the industry’s leaders. GLM-5.2, the open-weight AI model from China’s Z.ai, is only a few months behind OpenAI’s GPT-5.5 and Anthropic’s Claude Opus 4.7 on cyber and bio capabilities,
The global AI debate often fixates on models: Which ones are faster, which ones can do more, which ones are cheaper. The prominence of low-cost systems from China, like those from DeepSeek, z.ai, and Moonshot, has sharpened this focus, suggesting a narrowing gap with U.S. leaders. The rise of these brilliant, cheap AI models diverts