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#Google

Sep 16

Sep 16Wed

Sep 15

Sep 15Tue
  1. Google Developers BlogAI score46

    Google Launches Agent Anomaly Detection in Private Preview on Gemini Enterprise Agent Platform

    AIGoogle has put Agent Anomaly Detection into Private Preview on the Gemini Enterprise Agent Platform, a reasoning-based audit layer that reviews agent reasoning traces, tool calls, and execution flow to flag behavioral anomalies and policy violations. It runs asynchronously without adding runtime latency and publishes findings to Security Command Center. The preview requires ADK 1.2 or later.

  2. Google AI StudioAI score72

    Google releases Gemini 3.8 Live and 3.5 Transcribe for real-time voice apps

    AIGoogle AI Studio released Gemini 3.8 Live, a native speech-to-speech model with an Extended Thinking variant, and made it available through the Live API. Gemini 3.5 Transcribe, released last month, supports 85+ languages with a reported 4.0% streaming and 2.6% non-streaming Word Error Rate, and accepts a custom vocabulary of up to 1,000 terms. Live API audio pricing is listed at $0.005/min for input and $0.018/min for output.

    Why it matters: The post lists concrete Live API capabilities, per-minute audio pricing, and transcription accuracy figures, helping developers weigh voice agent options against their own cascaded pipelines.

  3. Google AI StudioAI score46

    Google launches Gemini 3.8 Live and Extended Thinking dialogue models

    AIGoogle introduced two live dialogue models, Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, available through AI Studio and the Gemini API. Gemini 3.8 Live is built for scale and cost efficiency, combining conversational intelligence with fluid dialogue and visual grounding. The Extended Thinking variant targets high-complexity tasks with increased intelligence and multi-step reasoning.

  4. Sundar PichaiAI score42

    Google outlines AI for science, weather, languages, and economic research

    AIGoogle says it is focusing AI efforts on health, disaster and weather resilience, learning, and economic opportunity. Recent examples include AlphaGenome Atlas, which maps all 9B possible single-letter genetic changes across the human genome and is openly available to researchers, and WeatherNext 3, described as its most accurate and capable global weather AI model to date. The post also cites AI & Economy ATLAS, an open-access look at global AI usage, and says its translation services now cover nearly 300 languages spoken by 7B people.

  5. Google AIAI score72

    Google rolls out Gemini 3.8 Live and Extended Thinking across consumer, developer, and enterprise channels

    AIGoogle is rolling out Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking across several channels. Consumers get them in Search Live and Gemini Live, developers get public preview access through the Gemini API, and enterprises get private preview through Gemini Enterprise, with Customer Experience support coming soon.

    Why it matters: The post lays out where each Gemini 3.8 Live variant reaches consumers, developers, and enterprises, which clarifies access paths for a voice model release.

  6. Google AIAI score62

    Google releases Gemini 3.8 Live and 3.8 Live Extended Thinking audio models

    AIGoogle AI announces Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking as its most advanced Gemini Audio models. Gemini 3.8 Live is built for scale, speed, and cost efficiency, handling mid-sentence interruptions, transitions across 97 languages, and visual context through Search Live. Gemini 3.8 Live Extended Thinking reasons and speaks in parallel, narrating its progress on multi-step tasks such as event planning.

  7. Google DeepMindAI score72

    Google DeepMind releases Gemini 3.8 Live models for real-time voice agents

    AIGoogle DeepMind introduced Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, two live dialogue models for voice agents. Extended Thinking scores 82.6 on Artificial Analysis' Speech to Speech Quality Index, 68.6% on τ-Voice, and 97.7% on Big Bench Audio. Gemini 3.8 Live is rolling out now in the Gemini API, Google AI Studio, and Search Live, with enterprise access in private preview.

    Why it matters: The release covers a voice model's benchmark results and availability across developer, enterprise, and consumer products, useful for judging voice agent options.

  8. Google AI StudioAI score72

    Google launches Gemini 3.8 Live and Extended Thinking voice models

    AIGoogle introduces Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, two live dialogue models for voice agents that reason and speak simultaneously. The Extended Thinking version scores 82.6 on Artificial Analysis' Speech to Speech Quality Index and 97.7% on Big Bench Audio, while 3.8 Live targets scale and cost efficiency. Developers can access both through the Gemini API in Google AI Studio, and enterprise and consumer rollouts vary by product.

    Why it matters: The source names the two models, their access paths, and specific benchmark results, showing how the voice agent capabilities differ between the two tiers.

  9. Google DeepMindAI score33

    Gemini 3.8 Live Extended Thinking adds upgraded reasoning for real-time programming tutoring.

    AIGoogle DeepMind demonstrated 3.8 Live Extended Thinking acting as a programming tutor in Gemini Live. Both 3.8 Live models feature upgraded reasoning, near real-time visual understanding, automatic detection across 97 languages, and background tool calling that doesn't interrupt the chat. The Extended Thinking variant adds higher performance and precision for harder tasks and narrates its progress, and it is available in Gemini Live in the Gemini app or through the Gemini API via Google AI Studio.

  10. Google · Innovation & AIAI score52

    Google says its language technology now covers over 300 languages with new speech, data, and on-device tools

    AIGoogle reports that its technologies and products now power everyday interactions in more than 300 languages used by over 7 billion people, about 86% of the global population. The post describes new speech models, including Gemini 3.5 Live Translate and Gemini 3.5 Transcribe, plus the TranslateGemma open translation models trained across 55 languages.

  11. Google · Innovation & AIAI score44

    Google says its language tools now support over 300 languages used by 7 billion people

    AIGoogle says its technologies now support more than 300 languages spoken by 7 billion people, representing 86% of the global population. The company also released its AI & Economy ATLAS, which it describes as a look at how people are using AI globally. The post highlights recent AI science work, including AlphaGenome Atlas, WeatherNext 3, and a Planetary Prediction Engine.

  12. Google · AI blogAI score14

    Google spotlights AI projects for disease, disaster prediction, education, and economic opportunity

    AIGoogle is showcasing how partners are applying AI to societal challenges, including making disease detectable, treatable, and preventable, predicting natural disasters, expanding learning, and unlocking economic opportunities. The source describes these efforts as measurable real-world impact but provides no specific models, figures, or benchmarks.

  13. Gemini API ChangelogAI score62

    Google makes Gemini 3.8 Live models generally available for real-time voice

    AIGoogle has made two audio-to-audio models, Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, generally available through the Live API. Gemini 3.8 Live, model ID gemini-3.8-live, is the default for low-latency voice agents, with interleaved reasoning and asynchronous function calling. Gemini 3.8 Live Extended Thinking, model ID gemini-3.8-live-extended-thinking, supports background reasoning during live audio and is recommended when more reasoning is needed.

    Why it matters: The changelog names two model IDs and their intended use, showing how Live API developers can choose between low-latency voice and higher background reasoning.

Sep 14

Sep 14Mon
  1. Google Developers BlogAI score60

    Build zero-trust AI agents that judge intent, not just syntax

    AIPart 2 of the zero-trust agents series moves security checks from agent code to the Gemini Enterprise Agent Platform runtime. Model Armor screens prompts and responses, Semantic Governance Policies judge proposed tool calls against intent and business rules, and Agent Anomaly Detection flags multi-turn drainage that single-turn checks miss. The same Customer Support and Returns Agent from Part 1 is used, with the companion demo open-sourced on GitHub.

    Why it matters: The post walks through a concrete refund agent under four attacks, showing how screening, intent judgment, and anomaly detection each catch what the others miss.

  2. Google · new models on Hugging FaceAI score62

    Google releases EmbeddingGemma 2, an open multimodal embedding model

    AIGoogle DeepMind released EmbeddingGemma 2, an open model under Apache 2.0 that maps text, images, video, and audio into one shared 768-dimensional vector space. The model has 740M total parameters and supports 8,192-token context, with Matryoshka truncation to 128d, 256d, and 512d. The source reports 14% better code-task performance than EmbeddingGemma 1 and says it is designed for consumer hardware such as phones and laptops.

    Why it matters: The release combines text, image, video, and audio retrieval in one 768-dimensional space at 740M parameters, a useful reference for on-device multimodal search design.

  3. Google AIAI score44

    Google Labs' Dreambeans turns connected data into personalized daily stories

    AIGoogle Labs has launched Dreambeans, an opt-in experience that connects data from Gmail, Calendar, Search, the Gemini app, and Google Photos face grouping to generate personalized illustrated stories. It can spot events such as a friend's upcoming birthday and suggest gift ideas, with daily in-app notifications when stories are ready. Users can tap a story for links to next steps like movie trailers or gift purchases, and give a thumbs-down to help the system learn their preferences.

Sep 12

Sep 12Sat
  1. Demis HassabisAI score62

    Demis Hassabis backs Dario Amodei's essay calling for AI industry to slow down

    AIDemis Hassabis says Dario Amodei's essay, which argues the AI industry should slow down, points toward the right path, though the details still need working through. He also points to Google DeepMind's recent proposal for an industry-wide standards body for frontier AI. The quoted essay describes a three-part plan, and Anthropic is committing to give third-party evaluators permanent, employee-level access to its systems.

Sep 10

Sep 10Thu
  1. Google Developers BlogAI score55

    Google details autonomous LLM post-training loops using Tunix on TPUs

    AIGoogle Developers Blog describes autofinetune, a project applying autonomous agent loops to LLM post-training with Tunix, Gemma, and Cloud TPUs. In an SFT case study on FunctionGemma, an agent ran 20 automated experiments on a Cloud TPU v5e-1 to adjust LoRA settings, optimizers, and learning rates. In a GRPO case study on Gemma 3 1B for GSM8K math reasoning, the agent ran 40 experiments on a Cloud TPU v6e-1 and improved total reward by about 10%.

  2. Google LabsAI score38

    Google Labs' Dreambeans personalized daily story app now available to all U.S. accounts

    AIGoogle Labs has made Dreambeans, its experimental app that creates personalized daily story collections, available to all U.S. accounts aged 18 and over on Android and iOS. Each daily collection combines personalized topics with information distilled from connected Google apps, including Calendar, Gmail, Photos, Search, YouTube, and Gemini. Users can dive deeper into stories, bookmark them, share them, and give feedback to improve future collections.

Sep 9

Sep 9Wed
  1. Google DeepMind · YouTubeAI score38

    How AI is transforming weather prediction, featuring WeatherNext 3

    AIGoogle DeepMind's Peter Battaglia discusses how machine learning is changing global weather forecasting, including early warnings for storms such as Hurricane Melissa. The episode covers traditional physics-based models versus AI models and probabilistic forecasting, and highlights WeatherNext 3 as Google DeepMind's most advanced global weather AI model yet.