01:03:20
Build & deploy AI-powered apps — Paige Bailey, Google DeepMind
Paige Bailey, Developer Relations Lead at Google DeepMind, presents a demo-heavy overview of the latest Gemini model family and AI St...
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19:03
Open Models at Google DeepMind — Cassidy Hardin, Google DeepMind
Google DeepMind researcher Cassidy Hardin presents a detailed technical breakdown of Gemma 4, the latest generation of Google's open-...
46:50
This AI Agent can actually self-evolve… just watch
David Ondrej interviews Van, the creator of Agent Zero, on the launch of Space Agent—a browser-based AI agent framework that runs ent...
43:55
The Future of AI Studio and Gemini ( Logan Kilpatrick @ Google Cloud Next)
Sam Witteveen sits down with Logan Kilpatrick, Google's lead on AI Studio, for a wide-ranging 45-minute conversation recorded live at...
09:08
Open WebUI Desktop App – Install on Linux, Windows & Mac
Open WebUI has shipped its first native desktop application for Windows, macOS, and Linux, and Fahd Mirza walks through the complete...
32:45
Hermes Agent + Browser Harness = Local AGI
David Ondrej provides a complete setup walkthrough for combining Hermes Agent with Browser Harness, a new library from the browser-us...
15:26
Gemma, DeepMind’s Family of Open Models — Omar Sanseviero, Google DeepMind
Omar Sanseviero, a researcher at Google DeepMind, delivers the first public conference talk on Gemma 4 just one week after its releas...
39:04
My M5 Max, Gemma 4, MLX LOCAL Stack. (This KILLS MODEL PROVIDERS)
IndyDevDan runs a structured head-to-head benchmark between a fully specced Apple M5 Max MacBook Pro and its M4 Max predecessor, test...
10:51
Running LLMs on your iPhone: 40 tok/s Gemma 4 with MLX — Adrien Grondin, Locally AI
Adrien Grondin, developer of the Locally AI app, delivers a technical walkthrough of running Google's Gemma 4 model directly on iPhon...
08:13
Turbovec – Google’s TurboQuant Implementation with Ollama | 8x Compression Proven
TurboVec is a newly released open-source Python library that translates Google's TurboQuant research paper into a pip-installable vec...