AI News from Google DeepMind Blog

Latest coverage from Google DeepMind Blog, summarized and scored for signal.

• Introducing Gemini 3.7 Flash — Google DeepMind officially launched Gemini 3.7 Flash — three weeks after 3.6 Flash — with FrontierCode jumping from 34.4% to 43.6%, DeepSWE from 49.0% to 65.3%, and AutomationBench from 17.0% to 30.4%, at $0.75/1M input tokens locked through year-end.
• Putting sign language AI into users’ hands — Google DeepMind's SL2T model ships in Pixel 11, enabling Deaf users to sign instead of type anywhere on their phone — the first consumer deployment of sign language AI at this scale, starting with ASL and expanding to additional languages.
• WeatherNext: AI model achieves breakthrough in forecasting cyclones — DeepMind open-sourced WeatherNext, a Nature-published AI model that unifies hurricane track and intensity prediction, delivering one extra day of average lead time — equivalent to a decade of meteorological progress — and predicting 1,000 storm scenarios per cyclone.
• Accelerating the frontiers of scientific discovery: Google’s $40M commitment to the Genesis Mission — Google is committing $40M in AI tokens and cloud credits to the DOE's Genesis Mission, granting all 17 Department of Energy National Laboratories access to AlphaFold 3, AlphaEvolve, AlphaGenome, WeatherNext, and Gemini for Government seats — the largest Google AI-for-science commitment to a federal research program to date.
• Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber — Google released three new Gemini models — 3.6 Flash (17% fewer output tokens than 3.5 Flash, priced at $7.50/1M output), ultra-fast 3.5 Flash-Lite at 350 tokens/second, and 3.5 Flash Cyber for cybersecurity — while confirming Gemini 4 pre-training has begun.
• Introducing Gemini 3.5 Flash Cyber — Google introduced Gemini 3.5 Flash Cyber, a lightweight cybersecurity model fine-tuned on top of 3.5 Flash, designed for repeated invocation to scan large codebases — offering competitive vulnerability detection against larger models while available exclusively to governments and trusted partners via CodeMender.
• Our approach to bioresilience — Google DeepMind and Isomorphic Labs have published a joint bioresilience framework — covering SynthID watermarking adapted for AI-generated DNA sequence screening, AlphaEvolve-powered pathogen surveillance, and 15+ government biosecurity partnerships — marking the first comprehensive public biosecurity program from a frontier AI lab.
• Empowering India’s next generation of innovators with ATL Saathi — Google DeepMind and India's Atal Innovation Mission launched ATL Saathi, a Gemini-powered assistant for Atal Tinkering Lab educators serving 11 million students — marking Gemini's first major government-backed education deployment in India.
• Google DeepMind and A24 announce first-of-its-kind research partnership — Google DeepMind and A24 announced a long-term R&D partnership to co-develop AI tools for filmmakers, with Google taking an investment stake in A24—the first tie-up between a frontier AI lab and a filmmaker-led studio, though no specific technology, timeline, or model has been announced yet.
• Start building with Nano Banana 2 Lite and Gemini Omni Flash — Google released Nano Banana 2 Lite (gemini-3.1-flash-lite-image), a 4-second, $0.034/1K-image model for high-throughput pipelines, alongside Gemini Omni Flash — now accessible to developers via the Gemini API for video generation and multi-turn conversational editing.
• Introducing computer use in Gemini 3.5 Flash — Google has integrated computer use directly into Gemini 3.5 Flash — previously a standalone Gemini 2.5-only capability — enabling agents to see, reason, and act across browser, mobile, and desktop via the standard Flash API, with enterprise safeguards including automatic prompt injection detection.
• Unlocking UK house-building with AI-accelerated planning — Google DeepMind is partnering with the UK government to deploy a Gemini-powered planning tool targeting a 50% cut in householder application decision times, with national rollout to all UK councils planned from 2027.
• Securing the future of AI agents — Google DeepMind published its AI Control Roadmap — a defense-in-depth security framework for managing potentially misaligned AI agents inside Google, built on the MITRE ATT&CK threat model and treating internal agents as potential insider threats even after alignment training.
• DiffusionGemma: 4x faster text generation — Google DeepMind released DiffusionGemma under Apache 2.0 — a 26B MoE model that generates 256 tokens in parallel using text diffusion, hitting 1,000+ tokens/sec on H100 and 700+ on RTX 5090, up to 4x faster than autoregressive models, with immediate Hugging Face, vLLM, and Unsloth support.
• Investing in multi-agent AI safety research — Google DeepMind, Schmidt Sciences, the Cooperative AI Foundation, and ARIA are jointly funding up to $10M in research grants on multi-agent AI safety — targeting the "emergent behavior" risks that arise when millions of independent AI agents interact across networks at scale.
• Fluid, natural voice translation with Gemini 3.5 Live Translate — Google DeepMind releases Gemini 3.5 Live Translate, a continuous speech-to-speech model supporting 70+ languages that stays just seconds behind the speaker — now in public preview via the Gemini Live API and rolling out to Google Translate on Android and iOS.
• Introducing Gemma 4 12B: a unified, encoder-free multimodal model — Google DeepMind releases Gemma 4 12B under Apache 2.0 — an encoder-free multimodal model with native audio inputs that runs on consumer laptops with 16GB of RAM, delivering benchmark performance close to the larger 26B MoE model.
• Powering the future of robotics in Europe — Google DeepMind launched its first robotics-focused accelerator, selecting 15 early-stage European startups for a three-month program providing access to Gemini robotics models, technical mentorship, and product guidance.
• Measuring the impact of learning with AI in Sierra Leone and beyond — Google DeepMind's pre-registered RCT with 1,763 Sierra Leone secondary students found Gemini's Guided Learning drove conceptual understanding in 91.4% of interactions — posing Socratic questions in 76% of responses and giving direct answers in only 2% — with teachers shifting from lecturers to facilitators.
• We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks — Google DeepMind launched a three-month Asia Pacific accelerator for startups, research teams, and nonprofits working on climate, agriculture, energy, and nature challenges — selected organizations get expert mentorship and direct integration of frontier AI models from Google, kicking off with a Singapore bootcamp.
• Fast-tracking genetic leads to reverse cellular aging — Google DeepMind's Co-Scientist scanned tens of thousands of papers and identified 20+ novel genetic factors for reversing cellular aging; lab tests validated multiple candidates, and follow-up literature analysis that would take 6 months now takes a few days.
• Simulate real-world places with Project Genie and Street View — Google is connecting its Genie world model to nearly 20 years of Street View imagery, letting users generate interactive virtual environments grounded in real locations — live now for Google AI Ultra subscribers ($200/month) globally, with US locations available at launch.
• Introducing Gemini Omni — Google DeepMind is launching Gemini Omni Flash — a multimodal model that accepts text, images, audio, and video input and generates high-quality, editable video through natural language conversation — available today in the Gemini app, Google Flow, and YouTube Shorts.
• Gemini for Science: AI experiments and tools for a new era of discovery — Google is launching 'Gemini for Science' — three experimental AI tools for hypothesis generation, computational discovery, and literature synthesis — built on Co-Scientist, AlphaEvolve, and NotebookLM, available as Google Labs prototypes targeting active researchers.
• Making it easier to understand how content was created and edited — Google is scaling its SynthID watermarking (now embedded in 100 billion+ images/videos and 60,000 years of audio) and C2PA Content Credentials verification across Search, Gemini, Chrome, Pixel, and Cloud — including a 'Is this AI?' verification feature already used 50 million times.