Thanks, @sundarpichai, honored to lead GDM into this next chapter. This is such a pivotal moment for us as we double down on our Gemini models, frontier AI research, and the products we build for our users and partners.
I want to congratulate @demishassabis on his new role as Chief Scientist of Alphabet and Chair of Google DeepMind. His vision has always been central to our work, and I’m excited to keep working together as we build AGI 🚀
Just shared some changes we’re making to the teams at @GoogleDeepMind.
@DemisHassabis is stepping up to become Chair of @GoogleDeepMind & Chief Scientist of Alphabet, in addition to leading @IsomorphicLabs. He’ll be able to dedicate his time and focus on shaping the future of AGI and scientific discovery. It’s work that is vitally important to Alphabet and humanity, and I can’t imagine a better person than Demis to do it. He’ll stay closely connected to Koray and the GDM teams.
@Koraykv will become the SVP, @GoogleDeepMind, responsible for all aspects of model development, GDM research, and @Geminiapp & dev teams. Koray has been at GDM for 13 years and is a world-renowned expert in the field, starting our deep learning team and driving breakthroughs like WaveNet & DQN. GDM is in great hands!
Excited for this next chapter. You can read my note along with the message Demis sent to @GoogleDeepMind here: https://t.co/mvsvrDUai7
Introducing Gemini 3.6 Flash & 3.5 Flash-Lite — built on developer and customer feedback for scaling AI agents.
3.6 Flash: our workhorse model delivers better coding, knowledge work, and multimodal performance while reducing token usage.
3.5 Flash-Lite: fastest, most cost-effective 3.5-class model — significantly outperforming prior Flash-Lite generations and built for high-throughput applications.
Also introducing 3.5 Flash Cyber, a specialized model built on top of 3.5 Flash, and fine-tuned for finding and fixing cybersecurity vulnerabilities.
More to come. Read more: https://t.co/nzoi2XuP0U
Following our Gemini 3.5 Flash launch at #GoogleIO, check out this demo of what it can do right inside the Gemini app.
Watch 3.5 Flash build an interactive circuit helper, outputting a step-by-step physical build guide alongside a working simulation. It’s a great example of how the Gemini app can help students learn visually, breaking down new or complex concepts and guiding them through hands-on subjects interactively.
3.5 Flash is available globally today!
Gemini 3.5 Flash is rolling out globally for consumers in the Gemini app and Search AI Mode, for developers via the Gemini API, Google Antigravity, and Google AI Studio, and for businesses on the Gemini Enterprise Agent Platform.
Read more about the Gemini 3.5 era: https://t.co/R2Zfbr1yUB
Today at Google I/O, we introduced Gemini 3.5 Flash! It has become an integral part of our daily research cycle and works with all the tools we have at Google.
We used a team of agents in Antigravity 2.0 to recreate the original AlphaZero research paper and build a playable version. They coded the reinforcement learning pipeline in JAX/Flax, trained a ResNet model from scratch via self-play on multi-TPU pods, and shipped a full-stack web app so you can play against it, from just 2 prompts. .
Here’s what else makes 3.5 Flash special 🧵
Gemini 3.5 Flash delivers sustained frontier-level performance at lightning-quick speeds:
Beats 3.1 Pro on coding & agentic benchmarks Terminal-Bench 2.1 (76.2%), GDPval-AA (1656 Elo) and MCP Atlas (83.6%)
4x faster than other frontier models (12x in Antigravity!)
SOTA on multimodality with 83.6% on MMMU-Pro
Incredibly proud to see Alphabet recognized in the 2026 @TIME 100 Most Influential Companies!
Huge congratulations to all the teams across @Google working hard to turn AI breakthroughs into everyday reality for our users! ✨ #TIME100Companies
“In 2016, [@SundarPichai] had declared Google would be an “AI-first company,” and began cultivating a series of projects—custom chips, Cloud, YouTube, and deep AI research—that seemed to have nothing to do with Google’s core search product. All of these bets have paid off, and then some.” — @TIME in their new #TIME100Companies cover story on Alphabet and AI → https://t.co/Uii9dpkzka
📷: Daniel Dorsa
This week at Google Cloud Next, we introduced 8th gen TPUs, a critical milestone in our accelerator roadmap. TPUs enable us to optimize the entire stack for AI (with 8t for massive-scale training and 8i for low-latency inference). Exciting breakthrough from our hardware teams!
Read more on the systems architecture: https://t.co/zsgZEB8M1Q
Launched Gemini 3.1 Flash Live. It’s capable of handling the nuances of live speech, like tone and interruptions, that are critical for real-world interactions. You can experience it on Gemini Live and Search Live!
Gemini 3.1 Flash-Lite is available now! It takes an unbelievable amount of complex engineering to make AI feel instantaneous, enabling exciting new frontiers for experimentation!
Nano Banana 2, new state of the art in image generation and editing combined with Gemini’s real-world knowledge!
You can simulate 3D CAD models purely through images. From sketch to real object!
Today we’re releasing a preview of Gemini 3.1 Pro and making it available to our users and developers.
Very excited to bring the upgraded core we used in Deep Think to everyone.
Learn more about Gemini 3.1 Pro: https://t.co/oV9U4HzQuK
Gemini 3 Flash is here. ⚡⚡⚡
Pro-grade reasoning with Flash-level speed and efficiency.
It’s rolling out today globally as the default model on Gemini App and Search AI Mode.
Learn more: https://t.co/tlkFysKsjV
A LOT happened last week. ICYMI, @koraykv (CTO of @GoogleDeepMind and Chief AI Architect of @Google) and @LoganKilpatrick discuss Gemini 3, the state of AI, and where we are on the path to AGI.
Chapters:
0:00 - Intro
2:00 - Gemini 3 launch reception
4:16 - Continuous progress and innovation
6:47 - Key areas for Gemini improvement
11:45 - Product scaffolding for model improvement
13:56 - Chief AI architect role
17:04 - Engineering mindset and collaboration
18:37 - Future growth areas for Gemini
20:33 - From research to engineering mindset
23:22 - The rise of generative media
27:22 - Nano Banana Pro capabilities
29:31 - Towards unified model checkpoints
36:26 - Organizing for AI success
38:26 - Balancing exploration and scaling
41:40 - DeepMind's collaborative culture
45:21 - Innovating at Google
48:37 - Closing
Gemini 3 Pro 🤝 Nano Banana Pro
New SOTA image generation and editing.
🍌Production-ready visuals with improved precision and control
🍌Images grounded in Gemini’s real world understanding
🍌Superior text rendering
🍌Localization in multiple languages
🍌Physically accurate lighting and dynamics.
And character consistency across 14 (fluffy) inputs!
https://t.co/WfRDyUueWu
Also, we're exploring new ways to create games using Gemini 3 - we've created and published a few experimental YouTube Playables.
Each of the games shown in the video below was created by Gemini 3 from scratch w/a few natural language prompts/images.
Try them out at https://t.co/dbWrU8VWfI 👾👾