SK Hynix Raises Record $26.5B in U.S. IPO

Meta will begin production of its new custom AI chips in September 2026. The company is adopting a modular design approach to accommodate rapid changes in AI technology and evolving computational needs. This move reflects Meta's strategy to reduce dependence on third-party chip suppliers and control its AI infrastructure costs.

PrismML, a Khosla Ventures-backed startup, claims to have compressed Alibaba's Qwen 3.6 large language model, which contains 27 billion parameters, to run on an iPhone 17 Pro. This represents the largest AI model ever deployed on a mobile device, surpassing typical mobile models that operate with only a few billion active parameters. The achievement addresses Apple's broader effort to run powerful AI locally on iPhones to reduce cloud computing costs and improve user privacy.

General Intuition is developing foundation models for robotics by training on millions of hours of video game data rather than real-world robot footage. The startup believes this approach can accelerate physical AI development by reducing the need for extensive real-world training data. The strategy mirrors how large language models like ChatGPT transformed AI by scaling training on vast datasets.

China is preparing to allow its top AI companies to purchase limited quantities of Nvidia's H200 chips, marking a shift in Beijing's protectionist stance toward domestic chipmakers. The move comes after U.S. President Donald Trump authorized Nvidia to ship H200 chips to approved Chinese customers in December, reversing prior export restrictions. China's approval would help address acute chip shortages driven by surging AI demand while maintaining some constraints on foreign chip access.