#Google

Android adds AI scam protection to Google Messages

Android is introducing new scam defenses, including an opt-in enhanced protection setting for Google Messages rolling out in the coming weeks. It uses cloud-based Gemini models to assess conversations with unrecognized senders and on-device Gemini Nano to check unfamiliar links before users open them. Additional safeguards block apps from enabling call forwarding and conceal sensitive information during screen-sharing in Chrome and Android WebView.

Research@ 2026: 10 Ways Google Research Is Amplifying Human Ingenuity

Google Research presented 10 updates at Research@ spanning geospatial intelligence, scientific agents, document verification, edge hardware, numerical models, healthcare, disaster forecasting, education, and collaborative prototyping. It is expanding early access to experimental Google Earth AI capabilities and opening Deep Review to the general public after an early version reviewed over 16,000 research publications. Other updates include an upcoming TimesFM and TabFM integration into Gemini for business and an AMIE study involving 98 patients, in which clinicians reported that AI summaries helped them prepare in 75% of cases.

Google releases Deep Review for analyzing complex technical documents

Google Research has publicly released Deep Review, an agentic AI system for technical verification and feedback on research papers and other complex documents, including legal and financial materials. Evolving from the Paper Assistant Tool, which provided optional feedback on more than 16,000 manuscripts, it combines document segmentation, adaptive compute budgets, parallel verification, and global synthesis. Users worldwide receive two complimentary reviews per day, with higher limits and API integration available through a Gemini API key; uploaded documents are never used to train, fine-tune, or improve Google models.

Google evaluates Earth AI geospatial agents and expands experimental access

Google released a technical report evaluating its experimental Geospatial Reasoning agent across four benchmarks and is expanding early access through Ask Google Earth and an Agent-to-Agent API. Evaluations using Gemini 3.8 Flash and Gemini 3.1 Pro found that specialized Earth AI tools improved spatial reasoning, while upfront planning helped with open-ended workflows. Google is releasing development splits for GeoKTools and GeoExpertQueries, but cautions that GeoExpertQueries evaluates adherence to expert workflows rather than final-answer correctness, making agent outputs drafts for expert review.

Textbook biology, brought to life right in your browser 🌿 This interactive 5-stage visual atlas built by Argon in @antigravity turns dense textbook biology into a hands-on experience. With fluid animations and scientific precision, you can scroll from a sunlit leaf all the way down to sub-cellular chloroplasts. The model pairs accuracy with a seamless interactive design, demonstrating how to build educational tools that can make complex science visual and effortless to explore.

Textbook biology, brought to life right in your browser 🌿 This interactive 5-stage visual atlas built by Argon in @antigravity turns dense textbook biology into a hands-on experience. With fluid animations and scientific precision, you can scroll from a sunlit leaf all the way down to sub-cellular chloroplasts. The model pairs accuracy with a seamless interactive design, demonstrating how to build educational tools that can make complex science visual and effortless to explore.

Ethan Mollick Shares a “Gemini 4 TiKz Unicorn”

Gemini 4 TiKz unicorn https://t.co/On8DiHHQC2 https://t.co/IU4uAJM8fh

Very cool to see Embedding Gemma 2 by @Google, number on trending on HF! The media and silicon valley bubble only talks about reasoning LLMs when there is a much bigger variety of AI models that are super impactful and useful like embeddings, decision models, audio, video, time-series,... (over 3M public models on HF!). Let's put them back in the spotlight!

Very cool to see Embedding Gemma 2 by @Google, number on trending on HF! The media and silicon valley bubble only talks about reasoning LLMs when there is a much bigger variety of AI models that are super impactful and useful like embeddings, decision models, audio, video, time-series,... (over 3M public models on HF!). Let's put them back in the spotlight!

Greg Brockman highlights GPT-5.6 Sol’s role in XBOW’s Chrome exploit

Greg Brockman highlights a critical Chrome vulnerability found with GPT-5.6 Sol in 6 days using $40,000 of compute. He points to an opportunity for defenders to use these tools to secure their software to unprecedented levels: https://twitter.com/oegerikus/status/2110032518674018367 In the quoted post, @oegerikus reports that Google awarded XBOW a $250,000 bounty for a full-chain exploit affecting Chrome on Windows.

Researchers report jailbreak vulnerabilities in OpenAI and Google image models

White Circle researchers report that their RISE attack method bypassed safeguards in DALL·E 3, Nano Banana 2, and GPT-Image-2 to generate explicit images about 13 percent of the time. The method uses widely available models to iteratively develop and evaluate jailbreak strategies. White Circle told Ars Technica that subsequent testing found ChatGPT Images 2.5 and Nano Banana 2.1 significantly more vulnerable than their predecessors; Google and OpenAI did not respond to requests for comment.

Tencent Hunyuan Reacts to HY Image Challenge Winners

@gmi_cloud announced the HY Image Challenge winners and shared some favorite creations. Tencent Hunyuan reacted: AMAZING😍

Gemini 4 Argon Goes GA as AI Engineer NYC Highlights Benchmarks

Google released Gemini 4 Argon globally for coding, knowledge work, enterprise workflows and cyber defense, with access through the Gemini API and several Google products. Introductory API pricing is $2 per million input tokens and $10 per million output tokens, with cached input discounted 95%; Artificial Analysis reports rates double after November 30. At AI Engineer NYC, about 20,000 people joined keynotes on AI and finance, including a discussion of benchmarking models like Argon by Vals AI’s CEO.

SenseTime’s Three Agents Bring AI to Shanghai’s “Quantum City” Governance

SenseTime’s AI platform, based on the upgraded “Cloud Universe Starry Sky” model, developed and delivered three agents for Shanghai’s first batch of government agents under its “Quantum City” initiative. They handle flood-control dispatch, spatial analysis, and planning updates. In the Suzhou Creek basin, the “Yuzhi Heluo” agent improved dispatch efficiency by 80%, alongside reported gains of 65% in spatial computing and 70% in dynamic simulation.

Over half of reported crimes in Singapore use sophisticated social engineering. With @GovTechSG, we’re building on-device fraud detection using our open model Gemma. By fine-tuning it on local scam tactics, it identifies threats in real time without compromising personal privacy → https://goo.gle/4ygVkJa

Over half of reported crimes in Singapore use sophisticated social engineering. With @GovTechSG, we’re building on-device fraud detection using our open model Gemma. By fine-tuning it on local scam tactics, it identifies threats in real time without compromising personal privacy → https://goo.gle/4ygVkJa

Google DeepMind and Singapore GovTech deliver on-device Gemma model for scam detection

Google DeepMind and Singapore’s Government Technology Agency (GovTech) have delivered a Gemma model fine-tuned on local scam conversations and optimized for typical smartphones in Singapore. A lightweight classifier screens incoming messages before the model evaluates broader conversation context and triggers warnings about suspected manipulation, with conversation processing kept on the device. Training excluded private or personally identifiable information, using anonymized datasets derived from scam reports and intelligence feeds.

Gemini 4 Argon: How a 24-word prompt built a custom synthesizer that turns galloping horses, rippling water, and your own hands into music.

Gemini 4 Argon: How a 24-word prompt built a custom synthesizer that turns galloping horses, rippling water, and your own hands into music.

Ethan Mollick Shares a Gemini 4 TikZ Unicorn

Gemini 4 TikZ unicorn https://t.co/LoMVqLkZjD https://t.co/IU4uAJM8fh

Simon Willison adds Gemini 4 Argon support to llm-gemini 0.35

Simon Willison added Gemini 4 Argon support to llm-gemini, following the model’s availability today through the Gemini API and a $100/month subscription plan. He praised its SVG pelican illustrations, with the high illustration costing 17.166 cents. Argon launches at $2/million input and $10/million output, with prices set to double on December 1st; Artificial Analysis reports $2,407 to run its benchmark, which Willison considers a more useful comparison than per-token pricing.

Nathan Lambert Calls Situational Awareness Eerie but Not Remarkable

I feel like this level of situational awareness isn't that remarkable, but the interaction still reads as very eerie. I bet pretty old models with "be safe, you are an AI, we are watching" would do stuff like this too.

How Gemini 4 Argon Built a Japanese Temple Complex in Blender

Baoyu describes a demonstration in which Gemini 4 Argon used Antigravity to build a Japanese temple complex in Blender from one prompt containing a detailed workflow. The prompt referenced a scene-building skill document and requested architectural plans, four Nano Banana reference images, and coordinated agents that checked renders against those references and iteratively revised the scene. The demonstrator requested animation and programmatically generated bell sounds and ambient audio the next day, making those later additions to the initial modeling workflow.

Sundar Pichai highlights security and alignment work for Argon 4

Sundar Pichai writes, “Good summary of our security and alignment work for Argon 4.” In the quoted post, @ancadianadragan describes work to understand Gemini 4's capabilities and propensities and improve mitigations for its launch, linking a summary at https://blog.google/innovation-and-ai/technology/safety-security/gemini-4-model-safety-security/ and a report at https://storage.googleapis.com/deepmind-media/gemini/gemini_4_safety_report.pdf

Gemini 4 Argon lets you reimagine your video or webcam feed as a playable synthesizer. Spin up an interactive audio app in Canvas, set the vibe, and play your camera like an instrument.

Gemini 4 Argon lets you reimagine your video or webcam feed as a playable synthesizer. Spin up an interactive audio app in Canvas, set the vibe, and play your camera like an instrument.

Google Play adds private installation of AI Studio apps without developer registration

Google announced that users can wirelessly install Android apps created in Google AI Studio on their own devices through Google Play using a regular Google account, without developer registration. The feature begins rolling out today to users 18 and older in selected markets, including the US; apps remain private, with sharing for close friends and family planned over the coming months. Baoyu also reports updates to Ask Play app comparisons, Play in Gemini, and game discovery through Game Finder and Gamer DNA.

How Google DeepMind developed Gemini 4 Argon responsibly and safely

Google DeepMind explains the safeguards for Gemini 4 Argon as it begins a broad rollout and expands its Fairwind Program for trusted cyber defenders. Defenses include input screening, activation probes, continuous monitoring, and a monitor of agent actions and chain of thought. Reported results include 2% shortcut or cheating attempts on coding benchmarks and 0.7% attack success across 15 adaptive prompt injection attempts; in one training run, accidentally penalizing chain-of-thought shortcuts increased silent shortcuts from 11.2% to 36.4%.

We’ve been exploring the potential of using Gemini 4 Argon to accelerate research @Google. One of our tests was using videos of humans performing fun tasks (game of bags, anyone?) to autonomously spin up training simulations, rather than relying entirely on manual programming. https://t.co/3oK74wKSmt

We’ve been exploring the potential of using Gemini 4 Argon to accelerate research @Google. One of our tests was using videos of humans performing fun tasks (game of bags, anyone?) to autonomously spin up training simulations, rather than relying entirely on manual programming. https://t.co/3oK74wKSmt

Gemini 4 Argon is now available in Cursor

Gemini 4 Argon is now available in Cursor! It scores 52.8% on CursorBench at default effort, on par with Opus 5.5. Priced at $2/M input and $10/M output tokens. https://t.co/1wOk4NvgFJ

Gemini 4 Argon taught a robot to play cornhole just by watching a video

Gemini 4 Argon taught a robot to play cornhole just by watching a video. It mapped the physics, coded its own simulation, and taught @Apptronik's Apollo humanoid to sink 7 throws in a row.

Gemini 4 Argon is now available worldwide as Google's most capable frontier model

Google is rolling out Gemini 4 Argon worldwide to developers, businesses, and consumers, replacing Gemini Pro as its frontier series. Access includes the API through AI Studio and the Gemini platform, plus selected subscription tiers across Antigravity, the Gemini app, and Google Search's AI mode; free and Plus users are limited to Flash models. Introductory pricing is $2 per million input tokens and $10 per million output tokens, with a 95 percent discount on cached inputs.

Gemini 4 Argon reaches GA, matching GPT-6 Astra on Artificial Analysis Intelligence Index

Artificial Analysis reports that Gemini 4 Argon is now GA, matching GPT-6 Astra on its Intelligence Index at 60% of the Cost per Task under discounted pricing until November 30. Argon costs $1.99 per task and $2/$10 per 1M input/output tokens, rising to $4/$20 after November 30, with a 95% cache-read discount. Artificial Analysis also reports substantial agentic evaluation improvements and a 15% hallucination rate on AA-Omniscience, the lowest among models scoring 45+ on its Intelligence Index.

Google releases Gemini 4 Argon with competitive pricing and claimed benchmark gains

Google launched Gemini 4 Argon, claiming improved reasoning and benchmark performance against GPT-6 Astra, Claude Fable 5.1, and Claude Opus 5.5. It is rolling out today to Pro and Ultra subscribers in the Gemini app and AI mode in Search, and Ultra subscribers on Antigravity; access for Plus subscribers and free users remains unclear. Introductory pricing is $2 per million input tokens and $10 per million output tokens, doubling at the end of November, though lower token rates do not necessarily mean lower task costs.

The same story is shown in the picks as 《Gemini 4 Argon is now available worldwide as Google's most capable frontier model》

Google lets users launch AI Studio apps directly through the Play Store

Google announced a new feature in the US that lets users launch personal Android apps built with Google’s AI Studio directly through the Play Store without connecting their phone to a computer. Apps remain private and separate from the public store catalog, and users can launch them with a standard Google account. Sharing with a select group is coming soon; public distribution requires a professional developer account and Google Play’s standard reviews.

Some great use cases from Googlers building with Gemini 4 Argon 🧵 It has a much stronger grasp of coding and multi-step tool use - starting from a raw Pixel CAD file in Google Antigravity, Argon created this exploded-view animation, lighting, camera choreography, and audio through Blender MCP. It ran 1,000 rounds of iterative loops to check its own renders and refine the code along the way.

Some great use cases from Googlers building with Gemini 4 Argon 🧵 It has a much stronger grasp of coding and multi-step tool use - starting from a raw Pixel CAD file in Google Antigravity, Argon created this exploded-view animation, lighting, camera choreography, and audio through Blender MCP. It ran 1,000 rounds of iterative loops to check its own renders and refine the code along the way.

XBOW earns Google Chrome full-chain bounty using GPT-5.6 Sol

Greg Brockman highlights XBOW’s report of finding a critical Chrome vulnerability with GPT-5.6 Sol in 6 days using $40,000 of compute, earning Google’s first full-chain reward in 2026 for an exploit affecting an estimated 1 billion users. He emphasizes the opportunity for defenders to use these tools to secure their software. In the quoted post, @oegerikus reports a $250,000 bounty for the Chrome on Windows exploit.

Using Gemini 4 makes you realize how many other models must be distilling Claude/GPT (or using a similar training pipeline). It feels quite different than other models.

Using Gemini 4 makes you realize how many other models must be distilling Claude/GPT (or using a similar training pipeline). It feels quite different than other models.

Google Play adds private Android apps built with Google AI Studio

Google announced that users can build personal Android apps with Google AI Studio and run them privately through Google Play using a standard Google account. The apps remain accessible only to their creators, must comply with existing Play policies, and will initially be available to U.S. users age 18 and up. Google says sharing with trusted friends will follow in the months ahead, with a path to public publication after trust and safety reviews.

Josh Woodward Says the Latest Gemini Model Made This

@chetaslua says Gemini 4 ARGON built a detailed Pagoda model using multi-agent visual critique loops in Antigravity. The model autonomously sculpted a temple complex in Blender. Josh Woodward reacted: “WTF” https://twitter.com/chetaslua/status/2110050110784798950

Ethan Mollick Says Gemini 4 Is a Big Jump Over Previous Models

Ethan Mollick says Gemini 4 is a big improvement over earlier Gemini models and the first non-OpenAI or Anthropic model to pass the Fable/Mythos/Astra bar. He finds it more pleasant and agentic, with a distinct personality, while noting that it lags in complex multi-agent work and can be overly certain and lazy. His post also links to three city-builder demos.

Google releases Gemini 4 Argon with paid access and introductory API pricing

Baoyu reports that Google released Gemini 4 Argon on October 13 for complex, multistep tasks, citing Sundar Pichai’s announcement of global paid availability. Access includes the paid Gemini API and platform, Ultra subscriptions in Google Antigravity, and Pro or Ultra subscriptions in the Gemini app and Search. Introductory API pricing is $2 per million input tokens and $10 per million output tokens, including thinking tokens, through November 30; prices double December 1. Input, thinking, and output share a 1,048,576-token limit.

Gemini 4 Argon rolls out across GeminiApp, Search, and antigravity

The quoted post announces Gemini 4 Argon rolling out today to Google Ultra and Pro subscribers in GeminiApp and Search, and Ultra subscribers in antigravity, alongside a wizard chess demo highlighting physics understanding and 3D modeling. Hassabis’s own comment recalls his childhood interest in argon lasers and a favorite Val Kilmer film scene. Links: https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/ https://www.youtube.com/watch?si=6NQue5-ulgGedGrt&t=50&v=G-gAbSQGGqM&feature=youtu.be https://twitter.com/demishassabis/status/2110041008100843835

The same story is shown in the picks as 《Gemini 4 Argon is now available worldwide as Google's most capable frontier model》

Google wants to host your personal vibe-coded apps in the Play Store

Google says the Play Store will soon let people privately host and share apps they built with AI. Starting today, Ask Play expands from answering questions on individual listings to recommending apps and games, including detailed comparison charts; Gemini will get a similar capability soon. Google also announced Game Finder, which draws on insights into how 1.2 billion people play games on Android to build a Gamer DNA profile and match users with similar players.

Google DeepMind launches Gemini 4 Argon for complex reasoning and agentic tasks

Google DeepMind has launched Gemini 4 Argon globally through its API and selected Google products, with access depending on subscription or service tier. Introductory pricing is $2 per million input tokens and $10 per million output tokens, with cached input tokens at 95% off and a 1M unified input-output token limit through the Gemini API. Google reports improvements across coding, professional workflows, scientific research, and robotics, alongside stronger agent safeguards and prompt injection resistance.