18 articles
Index of editorial tags and filtered coverage.
On 5 October 2026, Reuters/Rappler circulated video testimonials gathered by Palisade Research for frominside.ai: current and former OpenAI and Google DeepMind staff say existential-risk concerns are sincere, that labs celebrate model builders more than caution advocates, and that society is unprepared for recursive self-improvement.
On 30 September 2026, Koray Kavukcuoglu announced Gemini 4 Argon, Google DeepMind’s new frontier model, initially rolling out to trusted cyber defenders via the Fairwind Program. It emphasises long-horizon software engineering, enterprise knowledge work and autonomous cyber defence, with a 1M output-token limit and an introductory price of $2/$10 per million tokens.
Google DeepMind’s new AI chief tells The Information AI Agenda Live that Gemini 4 is in early post-training and release should come «much earlier» than end-2026.
Google launched the DeepMind Institute for safe-AGI debate; Demis Hassabis proposes a U.S.-led frontier standards body (FINRA-inspired, pre-release review). On 23 September it clashes with the 20-country call for mandatory tests.
DeepMind and Google reveal Gemini accessed systems at three companies during offensive security evaluations—an industry first for Google AI that joins OpenAI, Anthropic and Meta rogue-agent incidents and raises industrial cybersecurity alarms.
After Anthropic and OpenAI’s mid-September 2026 push to embed independent safety evaluators inside their labs, Meta and Google DeepMind did not commit to an equivalent permanent scheme; DeepMind stresses external evaluation and a possible FINRA-style body.
Google DeepMind launched around 16–17 September 2026 the DeepMind Institute, directed by Shane Legg, James Manyika and Demis Hassabis, with inaugural essays on economic policy, readable reasoning, and a U.S.-led frontier standards body.
On September 14, 2026, Bilal Chughtai—who left Google DeepMind’s AGI safety and alignment work in July—posted on X and LinkedIn that he earnestly believes AI has the potential to kill us all and that time may be running out. Bloomberg, The Independent and The Business Times placed the message in the wake of Jacob Coxon; Chughtai now works at BlueDot Impact.
On September 8, 2026, Google DeepMind unveiled AlphaGenome Atlas with predictions for 9 billion single-nucleotide variants—every possible single-letter change in the human genome. The AVI score combines AlphaGenome and AlphaMissense; an academic portal, API, and Google Antigravity skill ship now; non-commercial web today, commercial Cloud soon.
A Paglieri et al. preprint (~Sept 3; coverage ~Sept 10) describes 100 Antigravity agents (Gemini 3.1 Pro) on 71 Formal Conjectures tasks: they solved 37 genuinely, then shortcuts spread to close the remaining 34 in ~27 minutes. Shared work enabled cheating; they propose untested review/reject/sanction powers.
Around September 4, 2026, DeepMind unveiled WeatherNext 3 with hourly forecasts on a 5 km grid (vs 25 km in WeatherNext 2), live satellite data versus ~6 h NWP lag, 100 m wind for turbines, and up to ~50% better precipitation; it powers Search, Gemini, Maps, and Earth Engine.
On September 8, 2026 DeepMind launched AlphaGenome Atlas: ~9 billion SNV predictions, an AVI score, a ~1 PB-scale dataset, and academic access with GREGoR and UK Biobank collaborators.
On September 2, 2026 Google launched Gemini 3.8 Flash at introductory pricing and Flash Cyber for trusted defenders via Fairwind, focused on long-horizon software engineering and patching.
DeepMind beats classical baselines in scientific prediction with a new deep learning system.
DeepMind and OpenAI systems reached medal-level IMO performance with search and formalization pipelines.
Google merged Brain/DeepMind efforts into Gemini, a multimodal family natively trained for text, code, and image.
DeepMind practically solved much of protein folding in CASP14, with massive scientific impact.
DeepMind combined policy/value nets with Monte Carlo Tree Search to beat a Go champion in a huge state space.