Google

Google released Gemini 4 Argon to Pro and Ultra subscribers on Oct 13, with introductory pricing roughly a fifth of rival frontier models. The model claims top benchmark scores in coding and cybersecurity, but broader access and independent verification are still pending.

Google is pouring €13bn into Finnish data centres backed by nuclear power, signing a $4.3bn deal with Constellation to modernise US reactors, and preparing to launch its first orbital data center test satellite. The moves show AI infrastructure is now as much about energy and physical deployment as algorithms.

Google has announced Gemini 4 Argon, its next frontier model, but initial access is limited to trusted cyber defenders while Google completes safety work. The model supports 1 million-token outputs and has been used internally for large-scale codebase migrations, though API pricing and broad availability remain unannounced.

Google's pilot program pays around 100 publishers for content used in AI Overviews and Gemini, with some earning over $1 million. Meanwhile, its efforts to license Hollywood studios' libraries for AI training have yet to yield deals with major studios like Disney, Warner Bros., and Universal. The contrasting approaches highlight the challenges of acquiring high-quality training data, while a separate bankruptcy case involving Spirit Airlines raises questions about data ownership.

Google DeepMind released Gemini 3.8 Flash, topping the DeepSWE coding benchmark at lower cost. The model improves agentic computer use over 3.7 Flash but still trails Claude Opus. A new Cyber variant for vulnerability detection is limited to trusted testers.