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Also I'm giving a talk on Thinking in Gemini at AGI House *today* (Fri 18th at 6pm) 🫡 app.agihouse.org/events/google-…

The best of Google DeepMind AI (including Gemini Advanced with 2.5 Pro, and the smartest Deep Research capability around) is now free for US college students through to finals 2026! 🎓 gemini.google/students

Context caching is a feature we hope devs would use more - because it can result in significant cost benefits. Exciting updates here today

Me coming back to Gemini 2.5 Pro after trying to code with o3.

This is a really cool demo that we mentioned briefly at Cloud Next. Prompting Gemini with DeepMind's DQN paper from 2013 and asking for an implementation of the RL training loop and a game environment showcasing the agent.

Logan is the 🐐 and on top of many things! But in fact, there are many more Googlers from ICs to VPs actively listening to your feedback about Gemini. Some more accounts that can help: Mat Velloso Josh Woodward Omar Sanseviero Philipp Schmid kat kampf 👩‍💻 Paige Bailey

POV : Vibe coder after new Gemini 2.5 Pro Preview release.

Hear about our work on Thinking in Gemini at the AI Engineer World's Fair in SF in three weeks!

Deeply excited for tomorrow!

It's been an incredible experience working on Gemini Diffusion. So much pride in what we've accomplished bringing this from a small research project to an I/O launch

Today Demis announced Deep Think which marks our progression to greater test-time compute and stronger reasoning capabilities in Gemini 💎 Highlighting USAMO which is a very challenging set of held-out math problems, we're now at 49% accuracy. This is equivalent to the top

2.5 Pro Deep Think is an incredibly smart model. Some of the benchmark results, simply put were surprising to me. But, the benchmarks don’t tell the whole story. It can go into far more intricate details, especially open-ended prompts, unlike any of our previous thinking models.

The Gemini Diffusion release feels like a landmark moment. For text generation, autoregressive models have always outperformed diffusion models from a quality perspective. It wasn't clear that the gap could ever be closed. The team behind this have kept laser focused, broken

Veo 3 can 🗣️

There was a lot of announcements at IO, easy to overlook the new 2.5 Flash. It's pushing new boundaries in capability vs speed!

We want Gemini to be able to think about problems on the frontier of math and science and ultimately assist the creation of new knowledge. These kinds of user experiences are very motivating to the team, and an exciting sign of what's to come!