Jeff Dean

In April, '17, @jsomers of @NewYorker reached out & said he wanted to do a small profile of me & my longtime colleague Sanjay Ghemawat, watch us work for a few hours, maybe dinner, etc. It came out today. I think it captures our working style really well. newyorker.com/magazine/2018/…

@venkat_systems Sanjay is between Bart (the tallest person in the last row) and Paul (wearing the maroon hat)

@JeffDean and Sanjay ?

Those early whole company @Google ski trips were fun! I'm eighth from the left in the top row, wearing the white bathrobe (ninth if you count Susan's baby, Ari)

Today, we introduced Gemini Intelligence, which brings the best of Gemini to our most advanced devices. Gemini Intelligence integrates premium hardware and innovative software to help you stay a step ahead and work proactively to get things done throughout your day. #TheAndroidShow

Great to see @percyliang as a keynote speaker at #cais2026!

Today we're launching the Open Defense Initiative: up to $5 million in @depthfirstlabs credits for critical open source projects to find and fix real, exploitable vulnerabilities. We’ve been investing heavily in the entire agentic security technology stack: a harness that allows models to efficiently reason through code the way a security engineer would, the context understanding to validate exploitability and produce ready-to-merge fixes, and recently, post-trained models optimized for vulnerability discovery. Today we shared a datapoint that highlights the value of that approach. depthfirst autonomously identified 12 vulnerabilities in @FFmpeg , after Anthropic did several hundred runs with Mythos, for 1/10th of the compute cost reported by Anthropic. As a former @GoogleDeepMind researcher, I am grateful to foundation labs for pushing the boundaries of what AI can do, as every advance there gives us a stronger base to build on. But running general purpose models without the proper harness can be too expensive to be economically viable. That's what makes today's launch possible. The efficiency we've built lets us put frontier-level security in the hands of the maintainers who need it most, before open source models catch up and bad actors wield these capabilities without filters or guardrails. If you maintain a critical open source project, apply for Open Defense credits through the form in the comments.

Free Universal Healthcare is so complicated and expensive that only 32 of the 33 wealthiest countries in the world have figured it out.

Bleh. Talks. But dishes also works. The keynotes are like a multicourse tasting menu!

Great to see my friend @andykonwinski as one of the keynote dishes at the first @CAISconf later this month!

Introducing Altara: the scientific intelligence platform for the physical world. Today @evatuecke and I are excited to announce our $7M seed led by @GreylockVC, joined by @Neo, @BoxGroup, @Liquid2V, and angel investors including @JeffDean and leadership from OpenAI & AMD. We’re already working with early customers in semiconductors, batteries, and advanced materials. More below.

@catherinehyeo @evatuecke @GreylockVC @neo @BoxGroup @Liquid2V Congratulations!

Thariq Shihipar (@trq212) from @AnthropicAI's Claude Code team. 61 papers. 45 live demos. One conference. ACM CAIS 2026 is the first major conference dedicated to compound AI and agentic systems. May 26–29 · San Jose Spots are limited. Register today ↓

You can now ask Gemini to create Docs, Sheets, Slides, PDFs, and more directly in your chat. No more copying, pasting, or reformatting, just prompt and download. Available globally for all @GeminiApp users.

@LH It's not a technical paper at the level of the GNMT paper, but this blog post discusses some aspects: blog.google/products-and-p…

@JeffDean I think Google Translate is one of the most important products Google has ever made, and I use it daily for language learning. However, I would love to hear much more detail on the move from NMT to the transformer architecture (Claude shows transformers excel at translation).

Google Translate is turning 20! 🎉. There are 20 fun facts and tips in the thread below. Translate is one of my favorite Google products because it brings us all closer together! I've been involved with a couple of things over the years. The first was our deployment of the initial system in 2006, which provided a huge leap forward in quality because it used a much larger 5-gram language model trained on trillions of words of text (indeed, probably the first trillion token language model training in the world: paper has some nice heads showing scaling-law-like quality improvement from scaling to more data/compute). See "Large Language Models in Machine Translation", Thorsten Brants, Ashok C. Popat, Peng Xu, Franz J. Och and Jeffrey Dean, aclanthology.org/D07-1090/ The second major collaboration was in 2016 when we moved Translate over from a statistical machine translation approach to using deep neural networks.  This approach relied on two key innovations.  The first was Google's work on Sequence-to-Sequence models (arxiv.org/abs/1409.3215).  The second was our development of TPUs, custom cups that improved the performance of inference for deep neural networks by 30-80X over existing CPUs and GPUs of the day (and reduced latency by 15-30X).  This made launching compute-intensive language model services like Translate feasible for hundreds of millions of users. See "In-Datacenter Performance Analysis of a Tensor Processing Unit",  Norman P. Jouppi et al.  arxiv.org/abs/1704.04760 GNMT paper: "Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation",  Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Łukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, and Jeffrey Dean, arxiv.org/abs/1609.08144 Most recently, we have advanced Translate further using Gemini models. Each of these advances relied on research that have major quality leaps over the existing status quo translation approaches, bringing better quality and connectedness to all of our Translate users! 🎉

@gilbert Thanks for the great conversation!

I could listen to @JeffDean tell engineering stories all day. Jeff and Amin on the history of TPUs and AI at Google: youtu.be/BpnJYJmbXcM

The video of my conversation with Amin Vahdat, @gilbert, and @djrosent at Cloud Next last week is now up. youtu.be/BpnJYJmbXcM?si… Thanks for a great conversation!

Following positive feedback from other venues, like STOC and ICML, NeurIPS is pleased to announce a new initiative in partnership with Google: for NeurIPS 2026, authors will have access to Google's Paper Assistant Tool (PAT) to help improve their submissions.  This program offers authors the opportunity to receive free, automated, and actionable feedback on their manuscripts before the final deadline, private to the authors. It is a completely optional service that is kept strictly private to the authors and will not be used in the review process. Read more in our blog post: blog.neurips.cc/2026/04/21/neu…

THE FIRST MAN IN HISTORY TO BREAK 2 HOURS IN A MARATHON!!!🤯🤯🤯 Sabastian Sawe 🇰🇪 has just shattered the World Record at the London Marathon, running 1:59:30!!! He makes history as the first man to officially break 2 hours in the marathon. Yomif Kejelcha 🇪🇹 in his debut ran 1:59:41 to become 2nd fastest alltime, while Jacob Kiplimo 🇺🇬 finished in 2:00:28. All under the previous World Record.

@HazanPrinceton Nice! I saw great presentations by some of these folks a couple of months ago!

Finished teaching, time for end-of-year toast with my excellent batch of undergrad advisees