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Google releases the Gemini 4 Carbon model

On October 28, 2026, Google DeepMind released Gemini 4 Carbon, calling it its strongest model, ranking first with 59 points on the Artificial Analysis Intelligence Index v5.0, and scoring 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench. The model targets long-horizon engineering tasks and was first opened to some cybersecurity defenders, then expanded through the Fairwind Program, and afterward made available to developers, enterprises, and consumers. On October 29, Arena.ai said Gemini 4 Carbon ranked second in Agent Arena with a net improvement of 16.2% and pushed the Pareto frontier forward; the same day, Yuchen Jin cited Artificial Analysis data to raise reservations, noting that the evaluation used the Antigravity CLI. On October 30, the Artificial Analysis Intelligence Index showed it in first place with 59 points, 1 point higher than Claude Opus 5.5. On October 31, Perplexity CEO Aravind Srinivas shared an early evaluation, saying it set a new SoTA on the WANDR benchmark.

UK announces establishment of national AI biosecurity laboratory

The UK announced the establishment of the National AI Biosecurity Laboratory (AIBL). According to a report on October 24, 2026, the laboratory is positioned as an independent non-profit institution, with £100 million funded by the government, OpenAI and Anthropic jointly pledging up to £200 million, for an overall scale of up to £300 million. Initially it will focus on early detection of emerging biological threats and accelerated development of vaccines and treatments. OpenAI will provide £100 million in computing power and model credits, and open model access through the Rosalind Biodefense program; Anthropic will provide up to £100 million in model credits and technical support; Google DeepMind and Basecamp Research are participating in research collaboration. Subsequent reports likewise mentioned that the government is spending £100 million, OpenAI and Anthropic are providing model usage credits worth up to £200 million, and stated that Google DeepMind and Basecamp Research are participating in the collaboration. There are currently no further developments with evidence.

Pichai explains Hassabis's stepping down and Dean's departure

On October 24, 2026, reports relayed Sundar Pichai's explanation for Demis Hassabis stepping down as head of DeepMind and Jeff Dean leaving Google. Pichai described this as a natural evolution after long-term commitment from personnel, and mentioned that Jeff Dean will go on to work on Discovery Loop. He also said that frontier model development has become highly intensive, large-scale work spanning data, compute, algorithms, and team management; Hassabis wants to devote more time to advancing the frontier safely and to using AGI to solve other problems, with AlphaFold and Isomorphic cited as examples of such applications. Currently, this account comes from Alex Heath's relay, with no additional independent sources or official materials to supplement it.

View story:Pichai explains Hassabis's departure and Dean's exit

Pichai explains Hassabis's departure and Dean's exit

On October 24, 2026, reports relayed Sundar Pichai's explanation for Demis Hassabis stepping down as head of DeepMind and Jeff Dean leaving Google. Pichai described this as a natural evolution after long-term commitment from personnel, and mentioned that Jeff Dean will go on to work on Discovery Loop. He also said that frontier model development has become highly intensive, large-scale work spanning data, compute, algorithms, and team management; Hassabis wants to devote more time to advancing the frontier safely and to using AGI to solve other problems, with AlphaFold and Isomorphic cited as examples of such applications. Currently, this account comes from Alex Heath's relay, with no additional independent sources or official materials to supplement it.

Metis Reasoning is founded in London, focusing on a compute-efficient AI approach

On October 20, 2026, the London-based AI company Metis Reasoning was officially established and launched, focusing on a compute-efficient reasoning approach as it seeks a direction distinct from the frontier models of Anthropic and OpenAI. According to Tech.eu, the company was co-founded by Thore Graepel, former head of research at Google DeepMind and co-creator of AlphaGo, and has a team of 12 people spanning researchers, mathematicians, robotics experts and technology entrepreneurs. The company believes that LLMs have fundamental limitations in reasoning, with results that are difficult to verify and lacking an audit trail; it says its approach is more verifiable, more robust and safer, and that it has already achieved some positive results on frontier reasoning problems at a cost far below that of frontier models. The report says its initial funding is believed to be in the tens of millions of dollars, but Metis has not yet announced a release date for its first AI model.

Andreessen Horowitz leads Eka Robotics Series A funding

On October 20, 2026, Andreessen Horowitz (a16z) led the Series A funding round of Eka Robotics. According to a TechCrunch AI report that day, Eka Robotics 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, and its vision-force-action model, paired with force-sensor grippers, can grasp about 1,500 objects weighing under 1 kg per hour with a success rate exceeding 95%; the grippers cost less than $1,000 and are rated for 5 million cycles, and the company is currently conducting pilot tests of pick-and-place and cable manipulation with industrial customers. The next day, Zhidongxi reported likewise that this funding round was $150 million at a post-money valuation of about $1.45 billion, co-led by a16z and F-Prime with participation from Samsung Next and others, and said the company was founded in 2025 and is carrying out pilot cooperation with multiple industrial customers. There is currently no further progress following the completion of this funding round.

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Chollet says Argon performs similarly to Astra on ARC-AGI-3

François Chollet commented that Gemini 4 Argon performs similarly to Astra on ARC-AGI-3, with Google returning to the frontier. On the same day, ARC Prize published the verified results for Gemini 4 Argon on the ARC-AGI series: ARC-AGI-3 scored 97.5% under the provider adapter harness at a cost of $4.8K; under the standard harness it scored 49.8% at a cost of $5.8K. ARC-AGI-2 scored 91.3% at $0.32 per task; ARC-AGI-1 scored 98.5% at $0.16 per task. ARC Prize said Google DeepMind is the second frontier AI lab to exceed 95% on ARC-AGI-3, and Argon's 97.5% is second only to GPT-6 Astra's 99.9%. The standard harness test could not complete all 55 games due to API issues; the high-reasoning setting completed only 19 games, so no score was published.

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