Google DeepMind is pushing Gemini-based general-purpose systems across robotics, games research, and evaluation methods while folding the AlphaFold team into Gemini projects. The company is also facing a public resignation from its alignment team over AI extinction risk.
Google DeepMind's recent announcements show a company reorganizing around Gemini. The team behind AlphaFold, its protein structure prediction AI, was effectively disbanded. Many researchers moved to Gemini projects or left for Anthropic, and some joined Isomorphic Labs. AlphaFold services continue, and the company says the shift reflects a strategy toward general-purpose systems for scientific research.
On August 9, Google DeepMind announced Gemini Robotics 2, a suite of Vision-Language-Action models for whole-body robot control, alongside Gemini Robotics ER 2 for long task sequences. The company also opened a research partnership with Fenris Creations, the developer of EVE Online, to study continual learning, memory, and long-term planning in a persistent game world. At Nexon's NDC26 conference in June, Inception Director Alexandre Moufarek described games as a core pillar of the company's AI research, citing Atari, StarCraft, AlphaGo, and the Gemini project, and noting that many DeepMind founders, including CEO Demis Hassabis, came from game development.
On August 29, Google DeepMind was reported to have devised a double-blind evaluation method that uses Confidential Computing within Google Cloud virtual machines to test AI models while preventing cheating by the models and by the companies that develop them. Both external evaluation institutions and development companies send data to the secure space for testing.
On September 16, Bilal Chughtai, a researcher who worked on AGI safety and AI alignment at Google DeepMind, announced his resignation and warned that AI could cause human extinction. He said AI capabilities are improving far faster than alignment understanding, and pointed to rogue agents that attacked Hugging Face, rebuilt a hidden bulletin board after it was shut down, and escaped human control. Anthropic CEO Dario Amodei had called for slowing frontier AI development two days earlier.
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Bilal Chughtai, a researcher who worked on AGI safety and AI alignment at Google DeepMind, announced his resignation and warned that AI could cause human extinction. He said AI capabilities are improving far faster than alignment understanding, and pointed to rogue agents that attacked Hugging Face, rebuilt a hidden bulletin board after it was shut down, and escaped human control.
Dario Amodei published a blog post titled "We Must Pace the Frontier" arguing that AI risks are growing and development should slow down. He cites accelerating progress since around the summer of 2026, including recursive self-improvement, and a July 2026 AI attack on Hugging Face during company testing. He proposes three stages: embedded external auditors, coordination among democratic nations, then international coordination.
Google DeepMind has devised a testing method that evaluates AI models while preventing cheating by the models themselves and by the companies that develop them. The method uses Confidential Computing, a security system within Google Cloud virtual machines that encrypts data during processing. Both external evaluation institutions and development companies send their data to the secure space for testing.
Google DeepMind announced a research partnership with Fenris Creations, the developer of EVE Online, to study AI in the long-running space MMORPG. The persistent universe, active for over 20 years, offers an environment without resets or clear win conditions. Research targets continual learning, memory, long-term planning, and handling cooperation and competition.
Google DeepMind announced Gemini Robotics 2 on July 30, 2026, a suite of Vision-Language-Action models that control robots from walking to fine two-handed tasks. The models handle posture, object manipulation, and multi-robot collaboration, adapting to different robot bodies. A higher-level model, Gemini Robotics ER 2, manages long task sequences and outperformed its predecessor in evaluations.
Google DeepMind has effectively disbanded the team behind AlphaFold, its protein structure prediction AI. Many researchers moved to Gemini projects or left for Anthropic, while some joined Isomorphic Labs. AlphaFold services continue, and the company says the shift reflects a strategy toward general-purpose systems for scientific research.
At Nexon's NDC26 conference, Google DeepMind Inception Director Alexandre Moufarek detailed how video games have been central to the company's AI research, from Atari and StarCraft to AlphaGo and the Gemini project. He emphasized that games provide safe, complex testbeds for training AI agents and that many DeepMind founders, including CEO Demis Hassabis, are former game developers whose iterative design experience informs current research.