Research lab
Google's AI research lab, developer of the Gemini family of models and other AI systems spanning language, reasoning, and scientific research.
Google DeepMind's Gemini 4 safety report says bugs block any pass on about a quarter of audited ML R&D challenges. DeepMind estimates fixing them would not change its risk call, but a post on lesswrong.com asks whether the benchmark can still rule out the automation threshold.
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Google DeepMind's Gemini 4 Argon scored 97.5% on ARC-AGI-3 at a $4,800 run cost in ARC Prize testing, second to GPT-6 Astra's 99.9%. The score depends on vendor-specific harness features, so it says less about a team's own workload than the headline implies.
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Goodfire's Nick Cammarata says the vast majority of neurons in models up to trillions of parameters are legible, reversing an explanation he helped shape. Google DeepMind's Neel Nanda warns against overhyping it, and the model-level numbers are preliminary.
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Google is rolling out Gemini 4 Argon to AI Pro subscribers in the Gemini app, where it was Ultra-only. Antigravity's own desktop app and CLI still require Ultra, 9to5Google reported.
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OpenAI UK Ltd's accounts show its 110 London staff averaged £2.3m each in salary and shares in 2025, about double the £1.1m of the year before. The average spans researchers and sales and government affairs staff, so it is a weak guide to what an AI researcher costs.
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Google DeepMind's Gemini 4 Argon report shows no significant acceleration in AI progress since April, though AI writes over 75% of the lab's code. The post-April rate is 30% above the earlier one, yet DeepMind's analysis finds no substantial difference.
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Mathematician Thomas Bloom stopped tagging Erdős problems as open or solved before OpenAI posted 722 AI-produced manuscripts. A DeepMind paper in Science shows the documented, human-vetted alternative: 9 of 353 open problems solved.
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Google DeepMind and Singapore's GovTech announced a Gemma-based scam detector on October 14 that runs on the phone and reads whole conversations. It has no public release date, and Google has not named the messaging apps that will support it.
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Anthropic's Frontier Red Team ran a Gemma model across 15 chained TV boxes, each too weak to run it alone, in research on AI worms. Scientific American reports the work suggests a worm may not need data-center GPUs but stops short of showing the full threat.
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Gemini 4 Argon beats Claude Opus 5.5 on 14 of 18 benchmarks in Google DeepMind's published scores, according to a dev.to comparison. Opus takes the other four, including Terminal Agents at 66.4 to 57.4.
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Google DeepMind's table puts Gemini 4 Argon ahead of GPT-6 Astra on 14 of 19 benchmarks, with four losses and one tie, The Daily Flare reports. Astra's wins cluster in terminal tests, so coding teams should run their own workloads.
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DeepMind chair Demis Hassabis told a Dublin summit that AI agent hacks are early warning shots and could turn major within a couple of years. He wants agents sandbox-tested before release, so the first bill lands on the companies shipping them.
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Google DeepMind and Google Cloud will give up to 200 European researchers access to frontier models and $3 million in compute credits. The pool is small, so any lock-in would come from the habits labs build around five Google models.
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DeepMind reports that Gemini 4 Argon scores 87% on the ERQA embodied reasoning benchmark. Its Spot and robot-arm demos run through a named skill and a set of action primitives, so they test planning over a control stack that already exists.
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Andy Burnham said the government will legislate to curb non-competes and lengthy notice periods. An Addleshaw Goddard partner expects employers to lean on gardening leave instead.
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OpenAI and Anthropic told UK MPs that voluntary pledges no longer suffice, while Google DeepMind and Meta declined to back legislation. Teams building on these models now have vendors on the record disagreeing about whether they should be bound.
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Google is rolling out Gemini 4 Argon broadly and says it solved all 12 simulated end-to-end cyberattack scenarios, up from five. Every figure comes from Google's own post, and the foundational vulnerabilities it cites are still in responsible disclosure.
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Google made Gemini 4 Argon widely available and says it ranks #1 on the Vals Index at 68.90%. On the CWE-bench v1 security benchmark it ties two other models at 68%.
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Daniel Kokotajlo, who quit OpenAI over safety concerns, told MPs on Tuesday that the industry's risk tolerance is 'catastrophically high'. Two more ex-lab researchers gave similar warnings as MPs test whether the firms can regulate themselves.
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Washington lifted a 17-day request that OpenAI and Anthropic hold back pre-release models from the UK's AI Security Institute. The hold was set to last until a US national security review finished, and the reports do not say whether it has.
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