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Aug 7

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  1. koray kavukcuogluAI score38

    Koray Kavukcuoglu named SVP leading Google DeepMind's model development

    AIKoray Kavukcuoglu, who will become SVP of Google DeepMind, announced he will lead all aspects of model development, GDM research, and Gemini app and dev teams. He thanked Sundar Pichai and congratulated Demis Hassabis on becoming Chair of Google DeepMind and Chief Scientist of Alphabet while continuing to lead Isomorphic Labs. Kavukcuoglu said he will keep working with Hassabis as the teams pursue AGI.

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  1. Jeff DeanAI score38

    Jeff Dean thanks Diana Hu after Startup School conversation at Chase Center

    AIJeff Dean, Google's Chief Scientist, thanked YC partner Diana Hu for an engaging conversation at Chase Center last weekend, his first in a basketball arena. The post is a brief acknowledgment, with the surrounding context describing a Startup School 2026 discussion on AI inference hardware, the origins of TPUs, and advice for founders.

Jul 29

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  1. Google LabsAI score60

    Google Launches Lyria 3.5 in Flow Music With Better Vocals and Lyrics

    AIGoogle is rolling out Lyria 3.5, its newest music generation model, in Google Flow Music today. The update improves musicality, lyric quality and prompt adherence, and vocal expressiveness and pronunciation, and gives users more control over tempo and duration.

    Why it matters: The post names the specific capability changes and where users can access them, which helps readers judge fit for music creation workflows.

Jul 27

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  1. Google LabsAI score36

    Google and KDDI launch AI Startup Support Program for Japanese AI startups

    AIGoogle's AI Futures Fund and KDDI are launching the AI Startup Support Program to back AI-native Japanese startups with joint equity investment. Selected startups will get early access to Gemini, Nano Banana, and Lyria, plus Google Cloud credits, sovereign Gemini and GPU credits provisioned in Japan via KDDI's Osaka-Sakai Data Center, and hands-on technical support.

Jul 21

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  1. koray kavukcuogluAI score72

    Google releases Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber

    AIGoogle introduces Gemini 3.6 Flash as its workhorse model, with better coding, knowledge work, and multimodal performance while reducing token usage. It also launches Gemini 3.5 Flash-Lite, described as the fastest and most cost-effective 3.5-class model for high-throughput applications, and 3.5 Flash Cyber, a version of 3.5 Flash fine-tuned to find and fix cybersecurity vulnerabilities.

    Why it matters: The post lists three distinct models, each aimed at a different job, so readers can map which one fits coding, high-volume, or security workloads.

    Video from @koraykv's post
  2. Air Street PressAI score67

    DeepMind's Raia Hadsell argues AI should move beyond language to world models and robotics

    AIAt RAAIS, DeepMind VP of Research Raia Hadsell argued that the field focuses too much on language and should apply large-model training to worlds, robots, biology, and weather. The article cites DeepMind's DiffusionGemma, a 26-billion-parameter open text model that generates blocks by denoising rather than one token at a time, and the Genie-3 world model, which runs in real time for several minutes. It also describes world models as a source of synthetic training data for robots.

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  1. Google LabsAI score36

    NotebookLM Renamed Gemini Notebook, Same App, Expanded Role

    AIGoogle Labs announced that NotebookLM, which began as the Project Tailwind experiment, is now called Gemini Notebook. The app remains the same and keeps its mission of helping users learn faster, with the name change reflecting its role in Google's AI portfolio. Notebooks are already accessible in the Gemini app and are coming to Google Search, with folders promised as a future feature.

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  1. OpenRouter BlogAI score74

    OpenRouter Fusion panels beat individual models on the DRACO deep research benchmark

    AIOpenRouter introduced Fusion, a tool that sends a prompt to a panel of models and has a judge model fuse their results into one answer. On 100 DRACO deep research tasks, a Fable 5 and GPT-5.5 panel scored 69.0%, above Fable 5 alone at 65.3%, and a budget panel of Gemini 3 Flash, Kimi K2.6, and DeepSeek V4 Pro reached 64.7% at about half the cost of Fable 5.

    Why it matters: The source gives benchmark scores, panel compositions, and contamination controls, letting readers judge how much of the gain comes from model diversity versus self-synthesis.

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Jun 3

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  1. Google LabsAI score31

    Google Labs launches experimental Dreambeans app with personalized daily stories

    AIGoogle Labs has launched Dreambeans, an experimental mobile app that uses Personal Intelligence to connect to users' Google apps and deliver daily collections of personalized stories. The app surfaces relevant topics to help users explore what they care about most. It is available starting today to eligible US-based Google AI Ultra users aged 18 and older, with an open waitlist on the Google Labs website.

    Video from @GoogleLabs's post

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May 27

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  1. Google LabsAI score22

    Google I/O creators discuss human imagination shaping AI creative tools

    AIAt Google I/O, creators behind Flow, Project Genie, and Google Flow Music said human imagination, not the technology itself, shapes new storytelling. Designers Khyati Trehan and Kaloyan blend traditional design knowledge with vibe-coding to build Google Flow Tools, with Trehan saying that if the right tool doesn't exist, she can make it. Google Labs points users to Google Flow, Project Genie, and Google Flow Music at labs.google.

    Image from @GoogleLabs's post

May 22

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  1. AI Snake OilAI score60

    Google's $916 agent-built operating system claim lacks key methodology details

    AIGoogle claimed a team of agents built an operating system from a single prompt for about $916 in API fees, using Gemini 3.5 Flash and Antigravity 2.0. The authors argue the prompt was many thousands of lines, the scaffold and human intervention are undefined, and no code, logs, or similarity analysis were released to verify the claim. They still see value in such open-world evaluations, which need stronger methodological norms and independent scrutiny.

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