←Google / Google DeepMind
← All topics

Google / Google DeepMind

Google, Google DeepMind, Gemini, foundational research and product developments.

Public reading groups
114
Last 30 days
60
Directory status
Curated topic

LatestAMD Acquires World Labs for $8.2 Billion; Fei-Fei Li to Serve as AMD Executive Vice President and Chief Scientist

Latest reading groups

Duplicate reports of the same fact are grouped

  1. Leiphone
    AI score80

    AMD Acquires World Labs for $8.2 Billion; Fei-Fei Li to Serve as AMD Executive Vice President and Chief Scientist

    AMD announced an all-stock acquisition of World Labs, founded by Fei-Fei Li, for approximately $8.2 billion. After the deal closes, Fei-Fei Li will serve as AMD Executive Vice President and Chief Scientist, reporting directly to Lisa Su, and World Labs' roughly 70-person team will be integrated as a relatively independent research unit. The article reviews Fei-Fei Li's three directional choices—from ImageNet, to AI democratization, to spatial intelligence—and notes that this acquisition is about 52% higher than World Labs' $5.4 billion valuation after its February 2026 Series C funding round. The author believes that what comes next is whether the performance gains of Atlas and Marble on MI450 can continue the curve of the 4x speedup on MI325X, and whether other spatial intelligence teams will consequently shift to AMD hardware.

    Why read thisThe article reviews Fei-Fei Li's three directional choices from ImageNet to World Labs, and lays out two concrete criteria for judging whether spatial intelligence succeeds following the AMD acquisition.

  2. CNBC Technology
    AI score76

    Google adjusts its cloud business strategy, selling TPUs externally through partners such as Oracle

    Alphabet announced that Oracle will offer Google's TPUs, marking the first time customers can use TPUs outside of Google's infrastructure. Google had previously opened TPUs to external data centers in the second quarter, and analysts expect Google Cloud revenue to grow about 90% year over year. TD Cowen forecasts TPU sales of $9.4 billion in the second half of this year and $62.5 billion in 2027, while Wells Fargo expects about $9 billion in the third quarter and $99 billion next year; Anthropic reached an agreement last October to use up to 1 million TPUs, and OpenAI also plans to purchase TPUs from Google.

    Why read thisFor the first time, Google is selling TPUs outside its own data centers, giving readers a way to observe its impact on the AI chip market landscape dominated by Nvidia.

  3. SwyxOpinion
    AI score76

    swyx comments on Gemini 4 Carbon topping the AA Intelligence Index: the number of frontier labs has roughly doubled

    swyx reposted Artificial Analysis's evaluation results: Gemini 4 Carbon topped the Intelligence Index v5 with a score of 59, and ranked second only to Claude Opus 5.5 on the Coding Agent Index. He said this made him open Antigravity for the first time in a long while, and that he is gathering early evaluations and will report back afterward. He also noted that compared with the last time saranormous took the aie stage, the number of frontier labs has roughly doubled, which he considers a peculiar counterexample to the bitter lesson.

    Why read thisThe author uses Gemini 4 Carbon topping the AA Intelligence Index as a starting point to discuss the doubling of frontier labs and a counterexample to the bitter lesson.

  4. The DecoderProduct release
    AI score78

    Google opens Android Studio to third-party integration at Android Dev Summit…

    At the Android Dev Summit, Google launched the Bring Your Own Agent feature for Android Studio Rabbit 2. Through the open Agent Client Protocol, developers can run more than 40 coding agents simultaneously within the IDE, including Claude Agent, Codex, and Google Antigravity, with direct access to project structure, the emulator, and Logcat. Google says that in internal tests, after agents rendered Compose previews in the terminal, they completed UI tasks 77% faster and cut token usage to as little as one-third; in an A/B test using Claude Opus 5.5, the CLI with built-in LeakCanary found and fixed memory leaks nearly twice as fast, with about 25% fewer tokens. On the on-device side, Google added an Agentic API alpha powered by Gemini Nano 4 to ML Kit, and launched the MCP-based AppFunctions API beta and the Agent-to-UI interface; it also partnered with XREAL to release the Android XR smart glasses XREAL AURA, priced at $1,099 and shipping in mid-November.

    Why read thisAndroid Studio opens to third-party coding agents, with measured speedup data for terminal previews and memory leak detection, which can be used to assess the room for change in existing development workflows.

  5. Yuchen JinOpinion
    AI score65

    Yuchen Jin: Artificial Analysis data shows Gemini 4 Carbon is smarter than…

    Citing Artificial Analysis data, Yuchen Jin says Gemini 4 Carbon is smarter than Opus 5.5 and costs less per task. He raises one caveat: the evaluation ran Gemini 4 Carbon using the Antigravity CLI, and he hasn't used Antigravity for months and isn't in a hurry to install it; he plans to try it in Codex and Omnigent instead to see how it actually performs.

    Why read thisWhile relaying the third-party evaluation conclusions, the author points out the variable of the tool used for testing, so readers can judge the credible boundaries of this comparison.

  6. ArenaAnalysis
    AI score70

    Gemini 4 Carbon ranks 2nd on Agent Arena with a net improvement of 16.2%

    Arena.ai says Gemini 4 Carbon ranks 2nd in the real-task-based Agent Arena with a net improvement of 16.2%, and sits on the Pareto frontier for cost, time, and output tokens per task. Compared with Gemini 4 Argon, which ranks 7th with an 11% improvement, Carbon is 5 places higher and 5.2 percentage points better; the gains mainly come from a +13.2 percentage point increase in the positive-feedback-to-complaint ratio, +5.6 percentage points in confirmed success, and +4.8 percentage points in steerability. Arena says Carbon's availability will be announced by Google DeepMind.

    Why read thisArena's empirical data breaks down Carbon's improvement over Argon into three signals—steerability, task completion rate, and user sentiment—making it easier to identify the source of the gap.

  7. Google Developers BlogFirst-partyAnalysis
    AI score70

    Google A2UI Team and CopilotKit Explain How to Build Generative UI Applications

    The Google A2UI team and CopilotKit CEO Atai Barkai explain how to build generative UI applications using the A2UI open standard and CopilotKit. A2UI describes interfaces with declarative JSON, and the client only renders components from a trusted component catalog; the same response can be rendered to React, Angular, SwiftUI, Jetpack Compose, and Flutter. The article provides a code example for integrating CopilotKit with Google ADK, and explains the bidirectional flow, implemented via the AG-UI protocol, in which user actions are sent back and the agent regenerates the interface.

    Why read thisThe original article provides complete integration steps and bidirectional interaction examples for A2UI and CopilotKit, which can be used to evaluate how generative UI can be implemented in practice.

  8. Google BlogFirst-partyProduct release
    AI score74

    Gemini app now supports generating, previewing, and editing documents directly

    The Gemini app now adds the ability to generate, preview, and edit files within a conversation; you can type edits directly in full screen, select text to ask questions, or have Gemini rewrite the file. PDF preview and editing are supported on both web and mobile, while other formats such as Google Docs, Google Sheets, Slides, Markdown, TXT, and code are supported only on web. This feature is available to all users in all languages covered by the Gemini app.

    Why read thisThe original text explains that the Gemini app can directly generate, preview, and edit multiple file formats, and outlines the platform support differences for each format.

  1. Google ResearchFirst-partyResearch
    AI score67

    Google Research proposes the sleep framework, enabling LLMs to retain knowledge during continual learning

    Google Research proposes the sleep framework, which introduces periodic sleep stages to LLMs to consolidate short-term context into long-term parameters, thereby mitigating catastrophic forgetting and static knowledge cutoff. The framework consists of two stages: memory consolidation and dreaming. The former uses MoE parameter expansion and knowledge seeding based on GKD and reinforcement learning imitation, while the latter achieves self-improvement through random expert activation, filtering synthetic samples, and RL refinement. On BABILong, this method scales nearly perfectly within 10M tokens, and achieves accuracies of 79.2%, 69.0%, and 46.1% on AIME 24/25 and HMMT 25, respectively.

    A flowing stream of glowing blue geometric shapes consolidates into a bright, interconnected neural network sphere.

    Why read thisGoogle proposes splitting continual learning into two stages—awake interaction and offline consolidation—and presents comparison results on 10M-token long context and mathematical reasoning.

  2. Google BlogFirst-partyModel releases
    AI score78

    Google DeepMind releases world model Genie 4, supporting real-time interactive simulation and native audio

    Google DeepMind releases the world model Genie 4, focused on real-time interactive simulation and introducing native audio for the first time in the series. The model is built on capabilities from the Gemini family: Gemini Omni is responsible for making simulations match the appearance and behavior of the real world, while other Gemini models provide the complex reasoning needed to maintain simulation coherence. Users can control scenes in real time using natural language, such as moving the camera, changing the weather, or introducing new characters, and each world also generates ambient sound, music, and interactive dialogue on the fly.

    Why read thisThe original text explains that Genie 4 adds native audio and natural language control to real-time interactive simulation, allowing readers to understand the new capability boundaries of world models.

  3. Google BlogFirst-partyProduct release
    AI score60

    Gemini app launches immersive explorations library, supports layered browsing of topics

    The Gemini app has added an immersive explorations library. Users can enter by clicking "Try immersive explorations" in the student hub and explore topics ranging from microscopic systems to deep space layer by layer in an interactive, visual way. Each scene has clickable labels for deeper viewing, and audio narration is coming soon; the feature will later also be integrated directly into conversations with Gemini. The feature supports English, Indonesian, Hindi, Brazilian Portuguese, French, and Simplified Chinese; users of other languages can currently only use the English version.

    Why read thisThe original text explains the entry point, interaction method, and language coverage of immersive explorations, so readers can judge which learning scenarios it suits.

  4. Google BlogFirst-partyProduct release
    AI score68

    Google and XREAL Launch the First Android XR Wired Glasses, XREAL AURA

    Google and XREAL have launched the XREAL AURA, the first wired XR glasses powered by Android XR. Orders open today in the United States, Canada, and South Korea, with sales in Japan starting November 2, at a starting price of $1,099. The glasses weigh less than 95 grams, use transparent lenses and a 70-degree field of view to project apps into the user's field of view, and offload heavy computing to a portable computing puck connected by cable; the puck is powered by the debut Qualcomm Snapdragon Reality Elite platform. Users can open multiple apps at once and pair them with a Bluetooth keyboard and mouse, or connect a laptop screen as a window via USB-C wired mirroring, and Gemini can provide assistance based on the content in the field of view and on the screen.

    XREAL AURA

    Why read thisThe original text explains the combination of transparent lenses, a 70-degree field of view, and a split-computing puck, allowing readers to judge the boundaries of everyday use for wired XR glasses.

  5. Google BlogFirst-partyModel releases
    AI score82

    Google DeepMind Releases Gemini 4 Carbon Frontier Model

    Google DeepMind has released Gemini 4 Carbon, calling it its strongest model, ranking first with 59 points on the Artificial Analysis Intelligence Index v5.0 and leading on SEC-bench Pro (88.2%), ExploitGym (54.8%), and CWE-bench (71.0%). The model targets long-horizon engineering tasks; an internal team once had it run continuously for several days to investigate and fix hidden defects in a large codebase, and it rose 89 elo to 4th place (1768) on WebDev Arena. Starting this week, Carbon will first be opened to some cybersecurity defenders, then gradually expanded through the Fairwind Program, and only afterward made available to developers, enterprises, and consumers; after the introductory period, pricing will be $4 per 1M input tokens and $20 per 1M output tokens.

    Faceted iridescent crystal surrounded by floating white number 4s.

    Why read thisThe original text provides Carbon's benchmark results on cybersecurity and long-horizon coding tasks and its phased rollout path, which can be used to assess the pace at which frontier models will be deployed in attack and defense scenarios.

  6. Google BlogFirst-party
    AI score68

    Alphabet Q3 2026 Earnings: Revenue Up 25% Year-over-Year, Gemini App Reaches 1 Billion Users

    Alphabet's Q3 2026 revenue grew 25% year-over-year, with annualized revenue reaching $500 billion, and Google Cloud revenue up 103%. CEO Sundar Pichai said first-party model APIs process nearly 32 billion tokens per minute, 40% more than last quarter; the Gemini app has reached 1 billion users, making it the fastest-growing product in Google's history. A new model in the Gemini 4 series, Carbon, was also released that day; it ranks first on the Artificial Analysis Intelligence Index with a score of 59, will first be made available to select trusted cybersecurity defenders, and is being tested by the U.S. government.

    An infographic titled "Q3 Earnings Highlights: Alphabet now at half-trillion annual revenue run rate" featuring six metric cards: Alphabet (+25% Q3 Y/Y revenue growth to ~$128B), Search & Other Ads (+12% Search Q3 Y/Y revenue growth), Google Cloud (+103% Q3 Y/Y revenue growth), Gemini App (1B+ monthly active users), Gemini App API/Models (~32B tokens per minute, up 40% Q/Q), and YouTube (150M Music & Premium subscribers).

    Why read thisThe earnings call provided specific figures on the Gemini 4 series, model API call volume, and cloud business growth, which can be used to gauge the current pace of Google's AI commercialization.

  1. 36Kr · AIResearch
    AI score81

    DeepMind paper points out rounding bugs in Softmax and cross-entropy implementations; Gemini participated in discovery and fix

    Jon Barron, a principal research scientist at Google DeepMind, disclosed that the standard implementations of Softmax and cross-entropy in PyTorch, JAX, and textbooks contain two floating-point rounding bugs, which cause gradients to be zeroed out and ghost gradients to appear in distillation. The team submitted the paper "Fixing Softmax and Cross-Entropy" to arXiv, giving a rewrite solution; in the modular addition (a + b mod 31) task, test accuracy under bfloat16 precision increased from 93.3% to 100.0%. Barron said the bug was initially discovered and fixed by Gemini Flash 3.7, most of the paper's experiments were completed by Flash 3.8, and Gemini 4 Argon wrote the first draft.

    Why read thisThe original text sorts out the causes of two floating-point rounding defects in Softmax and cross-entropy implementations, and provides accuracy comparisons before and after the fix.

  2. InfoQ AIProduct release
    AI score76

    Google and Meta Open-Source TorchTPU at PyTorch Conference 2026

    Google and Meta open-sourced TorchTPU at PyTorch Conference North America 2026. This is a native PyTorch backend for Google TPUs, replacing PyTorch/XLA from 2020; migrating a model only requires changing model.to("cuda") to model.to("tpu"). The official release also open-sources four repositories: TorchTPU, vLLM-TorchTPU, SGLang-TorchTPU, and TorchTitan. Hugging Face models can run directly, with native support from the vLLM and SGLang inference engines. Google's published results include running the Qwen3 235B MoE model on 8192 TPU v7x chips and reaching 28% model FLOPs utilization, but the announcement also states that a one-line change only gets the model running; achieving peak performance still requires adjusting shapes, sharding, and operators.

    Why read thisThe original text explains how TorchTPU is integrated, the repositories already open-sourced, and the measured scale, and also notes that a one-line change is only a starting point and tuning still requires investment.

  1. Alex Heath
    AI score65

    Pichai responds to Hassabis stepping down as DeepMind head and Jeff Dean leaving Google

    Alex Heath relays Sundar Pichai's explanation for Demis Hassabis stepping down as head of DeepMind and Jeff Dean leaving Google. Pichai called it a natural evolution after the individuals' long-term commitment, and mentioned that Jeff Dean will go work on Discovery Loop; he said frontier model development has become high-intensity, large-scale work spanning data, compute, algorithms, and team management, while Hassabis wants to devote more time to safely advancing the frontier and using AGI to solve other problems, with AlphaFold and Isomorphic as examples of such applications.

    Why read thisPichai framed the changes involving the two key figures as a natural division of labor after frontier model development became a high-intensity, full-time job.

  1. Google BlogFirst-partyModel releases
    AI score80

    Google releases Gemini 4 Argon, showcasing 5 community creative projects

    Google releases new frontier model Gemini 4 Argon, stating it performs outstandingly on complex tasks such as coding, mathematics, and 3D world building, and surpasses other frontier models on benchmarks across multiple domains. The official showcase features 5 community projects, including a 3D Earth that maps wildfires and seismic activity in real time, a turbofan engine simulation with real-time data, a 3D carriage generated from a single image, and a multiplayer capture-the-flag browser game. The model has been widely available since last week.

    Collage showing five builds with Gemini 4 Argon

    Why read thisOfficial lists five community cases, demonstrating the new model's concrete outputs on 3D scenes and multi-step tasks.

  1. MediaNama
    AI score76

    TTP investigation: teen accounts with parental controls enabled can still download undressing AI apps from Google and Apple stores

    A Tech Transparency Project investigation using four test accounts for 13-year-old boys found that even with parental controls enabled, 135 AI apps capable of generating nude images could still be accessed on the Apple and Google app stores. Both platforms rely on developers' self-reported questionnaires to determine age ratings, causing apps with sexually explicit features to receive ratings suitable for children; as of September 28, Apple had removed 25 apps and Google had removed 6, but all the removed apps remained fully usable on the test phones.

    Why read thisThe investigation shows that app store age ratings rely on developers' self-reporting, and neither parental controls nor takedown measures have blocked such apps.

  2. The PaperResearch
    AI score80

    Four Gemini agents autonomously complete Minecraft, defeating the Ender Dragon in 27 hours

    Four autonomous agents running Gemini 4 Argon took 27 hours and 14 minutes to defeat the Ender Dragon in Minecraft survival mode, with no human intervention throughout and without receiving game-specific training; the DeepMind research team disclosed this experiment in an arXiv paper. During the process, the agents wrote and ran 2,783 programs, exchanged 229 chat messages, died 605 times, processed about 1.35 billion input tokens, and cost about $520 at discounted prices. The paper states this is the first end-to-end autonomous completion using only the standard Mineflayer library, without pre-exploring seeds or human-written game-specific tools.

    Why read thisThe paper discloses that four general-purpose agents autonomously completed the game without game-specific training, comparable to the specialized training approaches of AlphaGo and AlphaStar.