Google is developing a new server chip that directly integrates the design of its Gemini AI model, The Information reported on July 21, citing two people familiar with internal matters. The chip, called Frozen v2 inside Google, is aimed at addressing an AI computing power shortage that has fueled internal conflict and led Google Cloud to turn down external customer contracts. Employees involved expect Frozen v2 to be 6 to 10 times more efficient than the latest TPU by tokens processed per unit of power. Google plans to deploy it as early as 2028.

Hugging Face used the open-weights GLM 5.2 model from Chinese AI company Z.ai to analyse an internal security breach, instead of commercial frontier AI models. SiliconANGLE reported that safeguards in commercial models blocked analysis requests containing real attack logs, commands, exploit payloads and traces. Hugging Face said it confirmed last week that an attacker using an autonomous AI agent system accessed internal datasets and some credentials, then it blocked the attacker and strengthened systems.