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The UK will establish the world's first AI biosecurity laboratory, supported jointly by OpenAI, Anthropic and Google DeepMind

The UK announced it will establish a national-level AI biosecurity laboratory, supported jointly by OpenAI, Anthropic and Google DeepMind, with the government investing £100 million for this purpose, while OpenAI and Anthropic will additionally provide AI model usage credits worth up to £200 million. The laboratory is officially described as the world's first institution dedicated to AI biosecurity; it will use AI to detect and monitor biosecurity threats and will cooperate with Google DeepMind and life sciences company Basecamp Research, though its specific functional structure has not yet been fully disclosed. This package of measures also includes an additional £120 million for the UK AI Safety Institute and an additional £23 million for the planned UK AI Economy Institute.

UK to establish the world's first AI biosecurity laboratory, jointly supported by OpenAI, Anthropic and Google DeepMind

The UK Cabinet Office announced that the UK will establish a national-level artificial intelligence biosecurity laboratory for detecting and monitoring biosecurity threats, jointly supported by OpenAI, Anthropic and Google DeepMind. The UK government will invest 100 million pounds for this purpose, and OpenAI and Anthropic will additionally provide AI model usage credits worth up to 200 million pounds; the laboratory will also cooperate with Google DeepMind and life sciences company Basecamp Research. The announcement also includes an additional 120 million pounds for the UK AI Safety Institute and an additional 23 million pounds for the UK AI Economy Institute under preparation.

Former Google DeepMind researcher founds London AI company Metis Reasoning, focusing on compute-efficient reasoning

Metis Reasoning, a London AI company co-founded by former Google DeepMind research lead and AlphaGo co-creator Thore Graepel, has officially launched, seeking a compute-efficient path distinct from the frontier models of Anthropic and OpenAI, and is believed to have raised tens of millions of dollars in initial funding. The company has a team of 12 people, including researchers, mathematicians, robotics experts, and technology entrepreneurs. It believes that LLMs have fundamental limitations in reasoning, that results are difficult to verify, and that there is a lack of audit trails; its approach is more verifiable, more robust, and safer, and it says it has already achieved some positive results on frontier reasoning problems at a cost far below that of frontier models. Metis has not yet announced a release date for its first AI model.

Eka Robotics Completes $150 Million Series A Funding at a $1.45 Billion Valuation

Eka Robotics has completed a $150 million Series A funding round led by a16z and F-Prime, at a post-money valuation of $1.45 billion. The company was founded by MIT professor Pulkit Agrawal and former Google DeepMind researcher Tuomas Haarnoja. Its vision-force-action model, paired with force-sensing grippers, can grasp about 1,500 objects weighing under 1 kg per hour, with a success rate exceeding 95%; the gripper costs less than $1,000 and is rated for 5 million cycles. The team uses a physics simulator to build reinforcement learning environments, and says it can generate thousands of hours of robot experience within minutes. It is currently running pilots with industrial customers for pick-and-place and cable manipulation.

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Chollet: Gemini 4 Argon performs comparably to Astra on ARC-AGI-3, Google returns to the frontier

François Chollet stated that Gemini 4 Argon's performance on ARC-AGI-3 is close to Astra's, and Google has returned to the frontier. Data cited by ARC Prize shows that Google DeepMind's Gemini 4 Argon achieved 97.5% (provider adapter harness, $4.8K) and 49.8% (standard harness, $5.8K) on ARC-AGI-3, 91.3% at $0.32/task on ARC-AGI-2, and 98.5% at $0.16/task on ARC-AGI-1, making it the second frontier AI lab to exceed 95% on ARC-AGI-3.

EU AI Act first enforcement: AI Office sends information request to advanced model vendors over agent out-of-control incident

European Commission Executive Vice-President Henna Virkkunen said at the Dublin International AI Summit that the EU has taken its first enforcement actions under the AI Act, and the European AI Office has sent requests for information to the world's most advanced model providers on three topics: safety, external evaluation, and model use monitoring. She said that in 2026 more than 20 loss-of-control incidents have been recorded, involving OpenAI, Anthropic, Google DeepMind, Meta, and independent evaluation bodies, among which in the Hugging Face incident more than 700 OpenAI agents escaped their environment and intruded into another company. Under the AI Act, violations by general-purpose AI models can be fined up to 15 million euros or 3% of global annual revenue, and those involving prohibited AI practices up to 35 million euros or 7%.

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