#Google

DeepMind releases AlphaGenome 2, a DNA model predicting variant effects in specific cell types

Google DeepMind announced AlphaGenome 2, a next-generation DNA sequence model that predicts how DNA sequences and their variants affect specific human cell types. Trained on more than 107 million individual cell profiles across 68 tissues, the conditional model identified nearly twice as many expression-changing variants as the previous model, and on the TenK10K immune cell dataset it recovered 30% of causal variants versus 16% for the original AlphaGenome fine-tuned on single-cell data. It is available for non-commercial research via the AlphaGenome API and in private preview for commercial research.

Google DeepMind releases AlphaGenome 2, a genetic AI model that predicts variant effects by cell type

Google DeepMind has unveiled AlphaGenome 2, a successor to last year's AlphaGenome that predicts how genetic variants affect individual cell types and states rather than broad tissue averages. Trained on more than 100 million individual cell profiles across 68 tissues, the model identifies nearly twice as many variants that can change gene expression as the previous state-of-the-art model, and can make predictions about new cell types and biological states without retraining. Google is offering it for non-commercial research via the AlphaGenome API from today, with a limited private preview for commercial use; DeepMind's Žiga Avsec said its finer predictions are more computationally expensive, so it will not replace AlphaGenome soon.

Google DeepMind mathematically verifies key parts of Signal

Google DeepMind completed a four-week project that mathematically verified key parts of Signal, according to Ars Technica. The work hints that AI could make formal verification far more practical, though the report provides no further technical details.

Modal joins gVisor maintainers as Google donates the project to CNCF

Modal is one of three companies, alongside Ant Group and Tines, joining gVisor's maintainers as Google donates the project and its trademarks to CNCF under a maintainer-led governance model. Modal says it launches upwards of 40 million gVisor containers a day and has contributed upstream since 2023, including nvproxy GPU support, an RDMA device proxy called rdmaproxy, and tmpfs and memory-allocator optimizations. The company says it is working on multi-GPU memory snapshots and GPUDirect Storage support for gVisor.

Google Arts & Culture Launches Online Retrospective of Dr. Esther Mahlangu

Google Arts & Culture has published the first online retrospective of South African artist Dr. Esther Mahlangu, timed to her 91st birthday, with more than 45 curated stories and a rich archive of her art, life and legacy. Because archives held nothing from before 1980, the team used AI to visually recreate her undocumented memories, generating still images and then using Veo to turn them into videos. The exhibition was curated with institutions including the British Museum, Iziko Museums of South Africa and Serpentine.

Redwood Research Questions Whether GDM Intentionally Trains Gemini 4 on Chain of Thought

Redwood Research says it is unclear whether Google DeepMind intentionally trains Gemini 4 on chain of thought, after the Gemini 4 Safety report cited an auxiliary reward that observes thoughts as context. GDM staff told Redwood they were not training on CoT but could not explain the technical details, while a GDM blog post says the model is never penalized for what it writes in its chain of thought. Redwood warns that CoT rewards biased against misaligned reasoning could suppress honest verbalization and reduce CoT faithfulness.

Simon Willison tests Gemini 4 Carbon in Antigravity IDE as Google opens access to all users

Gemini 4 Carbon, announced two weeks ago for a subset of cyber defenders, is now available to everyone at $2/million input and $10/million output, with prices scheduled to double to $4/$20 on December 1st. Simon Willison tested it in Google's Antigravity IDE, generating a Three.js animation of a mech stomping through New York City using OpenStreetMap data, and noted that Google CEO Sundar Pichai highlighted Antigravity's /swarm feature building an open-world 3D game with Blender assets, WebGL shaders and Lyria music.

Same event; the pick carries“Google DeepMind releases Gemini 4 Carbon for agentic coding, cybersecurity and scientific reasoning”

Gemini Intelligence expands to Motorola signature 27 and Pixel 10 with new features

Google is bringing Gemini Intelligence to more Android devices, including the first Motorola Gemini Intelligence phone, motorola signature 27, up for U.S. pre-order on November 19, and Pixel 10, Pixel 10 Pro XL and Pixel 10 Pro Fold via today's Pixel Drop. New capabilities include Create My Widget, which builds custom widgets from a text description using Gmail, Calendar and Search data, and Device Assistance for controlling and fixing your phone by asking Gemini. Rambler is now available on Pixel 10 series and motorola signature 27, task automation expands to the UK, India and Japan, and Create My Widget is coming to Pixel Watch in the next few weeks.

Google DeepMind releases Gemini 4 Carbon for agentic coding, cybersecurity and scientific reasoning

Google DeepMind made Gemini 4 Carbon available to developers, enterprises, scientists and consumers, positioning it above Gemini 4 Argon for tasks that need deeper reasoning and more tokens. Carbon ranks #1 on CursorBench 4.0, Perplexity's WANDR and Zapier's AutomationBench at more than 2X lower cost per task than the next best external model, and is priced at $2 per million input tokens and $10 per million output tokens, the same introductory price as Argon. Google also previewed /swarm in Google Antigravity, which turns a single prompt into a coordinated team of agents, and reported that Carbon blocked 99% of attack trajectories in simulated cyberattack testing.

NVIDIA Contributes OpenShell Agent Runtime to CNCF and Adds DSX Kubernetes Tools

NVIDIA is contributing OpenShell, its open source runtime for securing and governing autonomous agents, to the Cloud Native Computing Foundation as a Sandbox project, and is also contributing to Google-led Agent Substrate. NVIDIA announced three new DSX AI Factory Platform components: NVIDIA Kubernetes Engine and NVIDIA Kubernetes Recipes, now in public preview, and NVIDIA Snapshot, which restores checkpointed replicas in seconds without model reload or warmup. Crusoe tested GLM-5.3 on Crusoe Cloud and cut workload ready time from roughly eight minutes to 31 seconds, while Saturn Cloud reduced vLLM startup from between two and 8.5 minutes to six and 34 seconds.

Google releases A2UI 1.0, a stable open protocol for agent-generated native UI

Google released A2UI 1.0, the first stable version of its open protocol that lets AI agents answer with interactive screens rendered by each app's own native components. Version 1.0 adds bidirectional function calls, accessibility support and extension metadata, plus open-source renderers for React, Angular, Lit, Flutter, SwiftUI and Jetpack Compose (the Compose renderer is at 0.9.1 with 1.0 coming soon) and agent SDKs for Python, TypeScript and Dart. Atlassian is bringing A2UI to Jira, Alation renders its feeds with it in Claude, and ByteDance shipped a Lynx renderer in June 2026 that supports 0.9 today.

Google explains how it ships Agent Skills like products with CI gates and an AI review agent

Google Agent Skills now hosts over 170 skills from teams across Google and has passed 21,000 GitHub stars, up from 15,000, and its maintainers describe the pipeline every change must clear. Each pull request passes six automated gates, including structural conformance, linters, semantic versioning, evaluation suite validation, link checks and an AI review agent, before a human subject matter expert approves it. The post also shares lessons such as atomic evaluation expectations, generated index files and running cheap deterministic checks before expensive LLM checks.

DeepMind unveils Gemini Robotics 2.5 and open safety benchmark ASIMOV-jailbreak

Google DeepMind revealed Gemini Robotics 2.5, a new version of its vision-language-action model that generates robot actions, saying it is much better at tasks requiring high dexterity. The model was evaluated across more than 200 activities, including serving food with tongs and using a pipette, and Apptronik's Apollo 2 humanoid robot running it can now tie a bow with its five-fingered hands. DeepMind also introduced an open source safety benchmark, ASIMOV-jailbreak, as it prepares for robots to operate alongside humans, and said some Gemini robots did actual work in Mercedes-Benz factories.

Google and Adobe expand partnership to bring Acrobat and creative tools into Gmail, Drive, Gemini and Search

Google and Adobe are expanding their partnership to embed Adobe's creative and productivity tools directly into everyday Google apps, and to bring Google's frontier AI models into Adobe's apps. Google Drive and Gmail will soon surface Adobe Acrobat as a suggested app with an "Edit with" entry point in file previews, while Adobe is adding Acrobat and creative tool connectors to Gemini and Gemini Enterprise and bringing creative tools to AI Mode in Google Search. Businesses can use Adobe's CX Enterprise Coworker agent in Gemini Enterprise, and Adobe with Google DeepMind will explore an image model for Photoshop that could enable near-real-time edits.

Google Cloud launches Gemini for healthcare to automate clinical and administrative workflows

Google Cloud announced Gemini for healthcare, an AI solution that unifies fragmented clinical, operational and administrative systems by connecting to electronic health records, billing platforms, clinical guidelines and Medicare datasets. The platform reasons across that context to orchestrate multi-step workflows such as medical records synthesis and prior authorization review within defined guardrails and with human oversight. It is initially available in preview with launch partners including HCA Healthcare, Highmark Health and Northwell Health, targeting the roughly 28 hours a week clinicians lose to paperwork.

Google DeepMind introduces AlphaProof Code, formally verifying Signal's cryptographic code

Google DeepMind researchers used AlphaProof Code, a multi-LLM agentic framework, to formally verify key security properties of the actual code underlying the Signal protocol. Agents powered by Gemini Carbon generated over six million lines of Lean, and human experts reviewed only about one percent of the codebase; the verification took four weeks, a task that historically takes expert teams years. When two previously fixed bugs were reintroduced into an isolated version of Signal's code, the system produced machine-checked proofs that the buggy versions were insecure, and DeepMind is open-sourcing its formal verification artifacts.

Hugging Face Hub now supports billing through Google Cloud accounts

Hugging Face organizations can now link to a Google Cloud account so Hub usage appears on the existing Google Cloud invoice instead of a credit card. The setup runs through the Google Cloud Marketplace and covers Team or Enterprise subscriptions, pay-as-you-go compute such as Jobs, Inference Endpoints, Inference Providers and GPU Spaces, plus additional storage at public Hugging Face pricing. Subscriptions are reviewed by Hugging Face before marketplace billing starts, and organizations with a card on file switch at the start of their next billing period.

Claude Fable 5.2 Now Available on Google Cloud

Claude Fable 5.2 is now available on Google Cloud, targeting long-running agents for demanding technical work. The model is positioned for agentic coding across multiple repositories and monorepos, workflows spanning hours to days of unattended work with subagent coordination, and scientific and data pipelines including physics computations, formal proofs, and data analysis.

Google's Language Explorer Visualizes the World's Linguistic Diversity

Google has launched Language Explorer, an interactive web platform that lets researchers, educators, and language enthusiasts discover and visualize linguistic diversity across thousands of languages. Built as part of Google's 1,000 Languages Initiative and based on the open-source LinguaMeta dataset, it is featured in a new exhibition at the Museum of Communication Berlin opening this week. Google Translate now supports nearly 250 languages, while Gboard covers 900+ language varieties.

Google DeepMind releases Gemini Robotics 2.5 VLA model for real-world dexterity

Google DeepMind introduced Gemini Robotics 2.5, its most capable vision-language-action model to date, which expands the range of skills a robot can learn and speeds up how fast it acquires them. Evaluated across 200 distinct tasks, the model achieves a 30% to 100% higher success rate than previous baselines while completing tasks 20% to 30% faster, and in a Mercedes-Benz production-line proof-of-concept, Apptronik's Apollo 2 humanoid picked and packed automotive parts with a 96% success rate. The release also adds inference-time reasoning guidance for physical safety, which raised safe task completion by 33% around obstacles and 43% around nearby people, plus ASIMOV-Jailbreak, an open-source benchmark on which Gemini 4 Argon reaches 99.5% jailbreak resistance.

Why the data center backlash is really about electricity

A visit to Virginia's Data Center Alley suggests the backlash against AI data centers is driven more by electricity demand than by the culture war Big Tech describes. A typical facility there draws 54 megawatts, while the smallest sites attractive for AI training need 300 megawatts and ideal ones about 6,000—roughly Chicago's draw. Companies are turning to onsite gas turbines and diesel generators, and Virginia has imposed new rules requiring data centers to pay fully for new transmission lines.

Ethan Mollick tests Claude Fable 5.2 across coding, business and research, calling it almost AGI

2 on tasks spanning hardware hacking, business planning, humanities course building, academic research and a 450-world 3D portal project, and judged it almost AGI under his definition of matching most human experts at most computer-based intellectual tasks.

Google DeepMind and Artificial Analysis launch MKA benchmark for agentic knowledge work on complex visual files

Google DeepMind partnered with Artificial Analysis to launch the Multimodal Knowledge Agent (MKA) benchmark, which tasks agents with reviewing dense visual project files such as architectural drawings, engineering schematics and clinical scans to produce slide decks, spreadsheets, PDFs, Word documents and marked-up images.

Gemini Omni Flash 1.2 arrives in Recraft Studio with steadier characters and clearer lip-sync

Gemini Omni Flash 1.2, Google's newest video model, is now available in Recraft Studio, where clips run up to 10 seconds with native audio. Compared with 1.1, it keeps characters, products and scenes steadier across a clip, follows camera directions with fewer unwanted cuts, and produces clearer lip-synced dialogue including scenes with several speakers. Google released the model on November 5, 2026, and notes it still struggles with fast sports action, rapid script changes and complex physics.

Review: Gemini 4 Carbon's coding outpaces its judgment

Every's hands-on review finds Gemini 4 Carbon, released today by Google DeepMind, is a much stronger coder than Gemini 4 Argon and can build better 3D objects and work for hours with little supervision. Testers disagree on how much supervision it needs, and the review says Anthropic's Fable 5.2, released a day earlier, has raised expectations that a flagship agent also pick the right work, respect limits and know when it is finished. Google gave Every early access and had no input on the review.

Google AI Edge Gallery adds on-device speech recognition and text-to-speech

Google introduced on-device Automatic Speech Recognition and Text-to-Speech in Google AI Edge Gallery, letting apps run multilingual ASR and expressive TTS fully offline alongside on-device SLMs like Gemini Nano and Gemma 4. On Android, ML Kit's new speech models transcribe 100+ languages at 10x real-time speed with an 8.0% to 9.0% Word Error Rate on FLEURS, while the few-step diffusion TTS starts speaking in about 100 ms and generates 24 kHz audio at up to 50x real-time speed. Cross-platform support comes through MediaPipe Tasks and LiteRT with open-weight bundles including Parakeet-TDT 0.6B, PocketTTS 100M, Kokoro-82M and Phonon 31M, demonstrated in the XR Language Teacher showcase and voice-enabled AI Chat.

Best AI Sticker Generators in 2026: 7 Tools Compared

Recraft is the best AI sticker generator for die-cut outlines, transparent PNGs, and SVGs from one canvas, while Canva is better for sticker sheets and print orders in the same editor. Seven tools were scored on November 9, 2026 against five print criteria, and only Recraft, Kittl, and Canva Print offer a real path to cut lines or print sheets. Firefly, Ideogram, Leonardo AI, and ChatGPT win narrower jobs such as photo-to-sticker conversion or chat packs.

Google Cloud MaxText adds context parallelism for long-context training on TPUs

Google Cloud released long-context training support in MaxText v0.2.4, its open-source JAX training framework, adding four context-parallel strategies on Cloud TPU: All-gather, A2A (DeepSpeed Ulysses), P2P (Ring Attention) and the A2A + P2P hybrid (USP). Benchmarks with Llama 3.1 8B reached 70% MFU on TPU 5p at sequence lengths up to 4 million tokens, and context extended to 14 million tokens on both TPU 5p and TPU 7, with TPU 7 holding 50% MFU below 6 million tokens. The release is available on PyPI, in Docker images and on GitHub main, with sample recipes for TPU 7 and TPU 5p.

Google AI Studio adds Google Maps Platform app building from a prompt

Google AI Studio now lets users build apps powered by Google Maps Platform directly from a prompt, with AI Studio handling configuration and API key management and no credit card required. The integration covers Maps, Places, Routes and Environment APIs, and the sandbox allows 100 calls per day per API with quotas resetting every 24 hours. Linking a Google Cloud billing account unlocks production-grade quotas under standard Google Maps Platform pricing.

Google makes Pathways generally available on Google Cloud for large-model training

Google announced the General Availability of Pathways, its distributed training system for large models including Gemini, on Google Cloud Platform. Pathways replaces lockstep SPMD execution with a single Python client that declares the whole computation as a dataflow graph, while a distributed runtime places blocks on virtual devices, moves and reshards tensors, and orders work across the cluster. Google says the design lets a failed host be remapped onto healthy chips instead of restarting the job, and that a shared Pathways service can serve several clients from one cluster.

Apple Tests Qwen in Apple Intelligence in China as Tencent Adds Vision to Hy4

Apple began developer testing of Qwen inside Apple Intelligence in China this week, ahead of a planned December rollout with iOS 27.3, bringing Qwen into Siri, Writing Tools and Visual Intelligence on an opt-in basis. Tencent's November 4 Hy4 release adds visual reasoning and computer use, while Baidu, Moonshot, Ant and Meituan also published or launched new models.

Why the AI-era cyberpocalypse may hit China harder

Chang Che argues that AI has shifted cybersecurity from an era of zero-day scarcity to zero-day abundance, and that China's top-down system is poorly suited to the fast, decentralized patching this requires. One week after the PHP zero-day was disclosed, the US had patched over a quarter of the 14 million exposed services while China had patched 4%, per Censys data. Che traces this to China's 2021 law barring researchers from publicizing or selling zero-days abroad, which cut the incentives behind Western bug bounty ecosystems, and to Nicole Perlroth's view that AI models make hoarded exploits obsolete, spelling the death of NOBUS.

The Blue Tsunami Is a Victory for Democracy — and a Wake-Up Call for Silicon Valley

Democrats' midterm sweep is being read as a wake-up call for Silicon Valley, with AI infrastructure and chip stocks sliding as investors price in slower data center buildouts. Texas governor-elect Gina Hinojosa made data center opposition and Elon Musk central to her campaign, and new comptroller Sarah Eckhardt will review JETI subsidy applications. Tesla and SpaceX shares fell 11% and 9% on Thursday.

The AI backlash needs a plan

US voters punished Republicans over data centers and AI accelerationism, with bans or restrictions passed in at least 38 jurisdictions and pro-AI super PACs largely failing. Platformer argues that regulating AI cannot follow the social media playbook, which produced no comprehensive privacy law, no Section 230 reform and no new antitrust legislation despite years of hearings.

SemiAnalysis benchmarks Google TPUv7 Ironwood on agentic inference against NVIDIA GPUs

SemiAnalysis released the first long-context, multi-turn agentic inference results on InferenceX/AgentX for Google TPUv7 Ironwood across four models, finding it competitive on performance per dollar or state-of-the-art in several cases. On GLM-5.2 in FP8, TPUv7 delivered 1.2x to 2.7x the tokens per dollar of B200, B300 and MI355X from 60 to 300 tok/s/user, while FP4 GPUs still led on GLM-5.3 because TPUv7 lacks native FP4 support until TPUv8 in Q1 2027. The piece also argues NVIDIA's bureaucracy slows driver and ecosystem contributions compared with AMD and Google.

Google DeepMind releases Gemini Omni 1.2 Flash with 15-second clips and 30% lower price

Google DeepMind rolled out Gemini Omni 1.2 Flash, now generally available across the Gemini API and Gemini for business, with native 15-second video generation, multi-turn conversational editing and stronger reference following. The price drops 30% from Gemini Omni 1.1 to $0.07 per second for 720p video, and users can draft at 360p or 720p before upscaling to 1080p or 4K. Clips can be set from 3 to 15 seconds in one-second increments, and outputs carry an imperceptible SynthID watermark.

Google releases Gemini Omni 1.2 Flash with 15-second clips and a 30% price cut

Google DeepMind rolled out Gemini Omni 1.2 Flash and made it generally available across the Gemini API and Gemini for business. The model generates and edits native clips up to 15 seconds, up from 10 seconds in Omni 1.1, supports multi-turn conversational editing, and holds character, product, and style references more consistently; 720p video now costs $0.07 per second, 30% less than Omni 1.1. Outputs carry a SynthID watermark, and the model is rolling out in Flow, Google Vids, the Gemini app, and Google Ads.

Google researchers detect hypertension signs with smartwatch PPG and accelerometer data, no cuff calibration needed

Google Research published a Nature study on AI-PPG-ACC-HTN, a multimodal system that detects signs of hypertension from smartwatch PPG and accelerometer data without cuff calibration. Validated against 24-hour ambulatory blood pressure monitoring in 196 participants across five US sites, it reached 65.8% sensitivity and 90.0% specificity for initial screening, and 78.4% sensitivity and 90.9% specificity for confirmatory testing. The authors describe the work as early feasibility research, not a replacement for clinical arm cuffs or a standalone diagnosis.

Google study finds stale TODO bug references distract coding agents in 13% of sessions

) references. Agents acted on the bug ID in 6% of encounters, and 83% of those actions were unprompted by the developer; 41% of unprompted detours chased already closed tickets while 57% hit still-open bugs and expanded scope. Controlling for developer, codebase complexity, task type, model tier and other factors, unprompted bug detours added 70% more steps, 77% more tokens and 105% more wait time per session.

Google Research's Agile Deliberation helps humans define subjective AI categories

Google Research introduced Agile Deliberation, a framework that turns subjective AI classifier creation into an iterative conversation where the AI helps users sharpen their own definitions. It splits the task into concept scoping and concept iteration, using vision-language models to surface borderline images and route feedback into an automatic prompt optimization loop. In 18 live 1.5-hour user sessions, the approach reduced user fatigue and anxiety and produced more consistent models that outperform standard baselines; the code is open-sourced on GitHub.