Carmakers are testing or using agentic AI in product development, with 68% saying so. Only 5% have the matching governance in place, which suggests the industry is adopting the technology faster than it is learning to control it.
This column looks at cybersecurity as AI spreads, asking which data and reference frameworks organizations should rely on. Its answer is that autonomous AI needs a solid IT foundation to strengthen resilience.
Linus Torvalds published a series of eight Linux kernel patches in his own repository that were built with Anthropic's Claude Code. It is a striking endorsement of AI coding tools from one of open source's most demanding figures.
Z.ai released GLM-Legal, a legal AI model built on GLM-5.3-Flash that scores 19.2% all-pass on Harvey's Legal Agent Benchmark, nearly three times its base model, at $0.15 per test. Access is granted by application.
This column argues that with agentic AI the main issue is no longer reliability but control. It points to targeted agents, executives lagging behind and sovereignty, and says only clear governance lets companies adopt agents without being overwhelmed.
Google is starting to integrate its Spark agent more tightly into the Gemini app on Android. Users will be able to move from a conversation to a delegated task and follow its progress in the same place.