Andrew Flovel @FlovelAndrew

Even the most epic travelers need the right tools for the journey ahead. 🧭 Chart a triumphant course for your next web project with the latest features, programs, and APIs: goo.gle/4wsKPCF

Dairy farming is a complex biological system driven by unpredictable market forces. See how Michigan farmer Paul Windemuller built "The Farm Brain" with Gemini 3.6 Flash inside Google @Antigravity — a local, multi-agent AI system that automates daily performance tracking to help manage his farm.

¿Y si pudieras impulsar tu carrera con formación práctica y educación universitaria al mismo tiempo? Entra a platzi.com/utel_tw para conocer más sobre esta alianza 💚 @Utel_

👾Watch a multi-agent system built with Gemini 3.6 Flash iterate on playable game design in real time. It uses Gemini 3.5 Flash-Lite to design, construct, and verify puzzle challenges based on live player actions balancing speed and reasoning in a fast-paced environment.

Which slash commands have you found most helpful?

Morgan Stanley is redefining threat defense in the AI era with Google Cloud Security and @wiz_io. Learn how @MorganStanley collapsed its mean time to detect threats by 99.9%—shifting from a reactive 45-minute window to proactive mitigation in 90 seconds or less: goo.gle/4fd4uQJ

¿Conoces a alguien que hace algo increíble, asume que no tiene valor y luego se frustra viendo a otra persona cobrar por hacer lo mismo? Lanzamos un curso que te ayuda a descubrir cuál de tus pasiones y hobbies puedes monetizar. AI construye las piezas que necesitas, pero tú aportas lo que ningún modelo tiene: tu experiencia de vida, tus pasiones y tus talentos. Comienza a aprender hoy 👇

Google just dropped a 1-hour course on agentic engineering from scratch: 00:00 – How to build your first AI agent 08:24 – Build agent memory (short, persistent, long) 28:34 – Agentic loops, long-running AI agents 40:04 – How to build MCP (MCP vs API) 1:00:22 – Multi-agentic systems This 1-hour watch will replace 10 paid agentic courses on the internet. Bookmark this. Watch this weekend.

Stunning timelapse of the United States at night and the Aurora Borealis over Canada, captured from the International Space Station.

“Wish You Were Here” - Pink Floyd

Demis Hassabis reveals Google's three-stage stack rewrite: AI first, model first, agent first. Bolting agents onto normal software does not scale to billions. "We've got to, we've done a lot of engineering work under the hood in the last year, which you'll see, you see the surface of when we announced things like this." "But actually, you can almost think that whole stack had to be rewritten to be sort of AI first, model first, and now agent first." "So that's quite a big change from like normal software." "And obviously there's all this huge infrastructure that serves billions of users every day at lightning speed and that's all gonna work." "And I think we've made massive improvements on that over the past year. And that's why you can see all the goodness of the AI models flowing through into our product surfaces so quickly and in such compelling ways." Most companies are adding an agent interface to yesterday's software. Demis says Google changed the substrate itself. The moat may not be the model. It may be the infrastructure that lets the model reach billions of users every day without breaking. - Demis Hassabis (@demishassabis), CEO of Google DeepMind, with @rowancheung at Google I/O 2026

Argentina y España jugarán la final del mundial. ¿Qué nos dicen los datos?

Build with Gemma community hackathons are going on now in over 20 countries. Join a hackathon near you to create awesome AI applications with Gemma 4, or apply to host your own!

3 years ago we started as a tiny experiment with the goal of helping you learn faster. Since then, we grew to bring audio, video, and interactivity to your sources, transitioning from a passive workspace to your true research companion. And now, notebooks have even become an entire ecosystem: you can already access them in the @GeminiApp and soon in Google Search So, with these advancements, it’s time for us to evolve once again: NotebookLM is now Gemini Notebook ✨📓 The same app you know and love isn’t going anywhere, we just have an updated name that reflects our role in Google's AI portfolio. And our mission stays exactly the same: helping you learn, faster. Thank you for believing in us— this wouldn't have been possible without your passion (and feature requests...) Big things to come (yes, even folders📂!) so stay tuned. Sincerely, The Project Tailwind team

Here’s how we used the Predicting the Past Skill in Google @antigravity to track down a Roman ring thief, map an ancient cult across Europe, and reconstruct the networks of people visiting a Greek oracle. 🧵

Gemma 4 is live on @cerebras, the fastest multimodal inference ever! Running on Gemma 4 31B open-weight model at a blistering 1,500+ tokens/sec. That's a 15x speedup, unlocking real-time visual and agentic loops without the GPU lag.

XPENG’s aircraft fleet conducts synchronized test flights. Following steady progress in batch trial production, multiple flying cars have completed coordinated formation flights, demonstrating the maturity of our production systems and flight control capabilities.

Schrödinger migrated its computational modeling platform to Google Cloud to accelerate the discovery of new therapeutics and materials. By using Compute Engine and Cloud GPUs, the company now has access to high-performance computing resources that scale up to 10,000 times its standard capacity on demand. This shift allows Schrödinger to complete complex calculations in hours rather than weeks ↓

Upgrading your image pipeline? ⚡ Meet Nano Banana 2 Lite! Engineered for rapid ideation and high-velocity developer pipelines, it’s the ultimate choice when speed and cost are your primary constraints. If you’re currently using the first-generation version (gemini-2.5-flash-image), this new model offers an easy way to unlock immediate latency leaps and performance gains. Explore the new model in Google AI Studio: goo.gle/googleaistudio