American Airlines to Deploy Starlink Wi-Fi Across 500+ Aircraft

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.

A study of 67 frontier models from 21 providers reveals that enterprises using multiple AI models significantly underestimate failure rates by 2.25x due to a phenomenon called the co-failure ceiling. The research shows that combining diverse models based on low pairwise error correlation does not reliably improve performance, and in some cases can degrade it when models have unequal capabilities. Developers are investing in complex routing infrastructure and multi-model orchestration that often fails to deliver promised safety benefits.

SK Hynix, a South Korean memory chipmaker already listed in Seoul, raised $26.5 billion in a Nasdaq IPO, the largest ever by a foreign company in the U.S. and surpassing Alibaba's 2014 record of $25 billion. The company plans to deploy proceeds toward unspecified strategic initiatives. The listing marks a significant capital raise for the semiconductor sector amid ongoing global chip demand.

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.