Google DeepMind Dismantles AlphaFold Team — Not Even a Nobel Prize Protected It
Google DeepMind has dismantled the team behind AlphaFold, the Nobel-winning protein-folding AI, shifting focus to broader AI systems for scientific discovery.
Coverage of Google, Google DeepMind and Gemini, from model launches and research breakthroughs to strategy shifts and regulation.
Google DeepMind has dismantled the team behind AlphaFold, the Nobel-winning protein-folding AI, shifting focus to broader AI systems for scientific discovery.
Gemini managed agents now use Gemini 3.6 Flash, adding hooks and scheduling to support faster, production-ready AI workflows at scale.
Chinese AI models from Kimi and DeepSeek are undercutting US rivals by up to 90% on price, forcing the global AI market toward commodity dynamics in 2026.
Alphabet raised its 2026 capital expenditure guidance above $200 billion during Q2 earnings, citing surging AI infrastructure demand as Google Cloud posted.
Google DeepMind dropped three new Gemini Flash models at once: 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber, each targeting a different speed-cost tradeoff.
Pro Delay pushes Gemini 3.5 Pro back several months over coding issues, pressuring Alphabet shares as AI rivals advance their frontier models.
Search Data to Rivals is mandated by the EU, forcing Google to open its index by January 2027 and weakening its AI data advantage.