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/…

Congratulations to Charles Bennett and Gilles Brassard for winning this year's @theofficialacm Turing Award! 🎉 They were recognized for their work on quantum information science & quantum cryptography. Google is proud to support the award to recognize groundbreaking CS work.

Love it. We should all aspire to do the little things that help each other.

We open sourced WAXAL! - Multilingual speech dataset for African languages - 17 languages for TTS - 19 languages for ASR Over 100 million speakers across 40 Sub-Saharan African countries huggingface.co/datasets/googl…

@_ItsmeJJ_9 I think that's the intention once the building opens, but I don't exactly know the details or how to request to do so, etc.

@JeffDean Jeff, do you think public personnel can host events at the AI Exchange space?

I got a "still under construction but getting close to done" look when I was in London a little while ago, and this is going to be an amazing building. I've had offices in many buildings in my time at Google (12?), and I find the ones that are "better spaces" make working and collaborating more enjoyable. The location right near Kings Cross and St. Pancras train stations and underground also makes commuting from all over London and outer areas really convenient. I'm really excited for my London colleagues to move in (yes, it's been a long wait!) and also for the public to experience the public spaces in the building.

@the_transit_guy Part of Google. Similar to other parts of Google like "Google Search", "YouTube", "Google Cloud", ...

@JeffDean Forgive my ignorance but is Google DeepMind considered a separate company or subsidiary from Google itself?

We've raised $6.5M to kill vector databases. Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a Q1 termination notice if the language is close enough. A friend of mine asked his AI about a contract last week, and it returned a detailed, perfectly crafted answer pulled from a completely different client’s file. Once you’re dealing with 10M+ documents, these mix-ups happen all the time. VectorDB accuracy goes to shit. We built @hydra_db for exactly this. HydraDB builds an ontology-first context graph over your data, maps relationships between entities, understands the 'why' behind documents, and tracks how information evolves over time. So when you ask about 'Apple,' it knows you mean the company you're serving as a customer. Not the fruit. Even when a vector DB's similarity score says 0.94. More below ⬇️

@contextkingceo Congrats!

Introducing our biggest upgrade to @googlemaps since the original launch, featuring Ask Gemini (with personalization), Immersive Navigation, and much more!! 🗺️

We’ve been seeing some amazing Nano Banana 2 creations lately. 🍌 Here are some standouts. 🧵

@anneouyang @Standard_Kernel Congrats, @anneouyang and @ChrisRinard and everyone at @Standard_Kernel!

Excited to share @Standard_Kernel's seed round and some reflections on what we’ve learned about kernel generation and what we believe is next. Grateful to our amazing team, supporters, and the broader community pushing this space forward.

Excited to see this joint collaboration between @GoogleResearch, @NHSuk and @imperialcollege showing AI’s potential to detect 25% of the interval cancers previously missed by conventional methods. Additionally, the research found AI can reduce screening workloads, and give results back to clinicians and patients faster. This first figure from the @NatureCancer article shows how the study was set up, and the second figure shows that the AI system dramatically increases sensitivity (detecting true positives) without significantly affecting specificity (false positives). Learn more ⬇️ Blog: blog.google/innovation-and… Nature Cancer paper: nature.com/articles/s4301…

@dweekly Wow!

@JeffDean - wanted to make sure you saw this! Gemini saved someone's life. reddit.com/r/GeminiAI/com…

Say hello to Gemini Embedding 2, our new SOTA multimodal model that lets your bring text, images, video, audio, and docs into the same embedding space! 👀

1/ We released NanoGPT Slowrun 10 days ago. Already at 8x data efficiency and improving fast, so we're doubling down. Announcing Slowrun Research and Slowrun Cluster: our open research effort to collaborate with researchers with crazy ideas, and a serious cluster to back it.

@ZhipengHi @S_OhEigeartaigh Do what?

@JeffDean @S_OhEigeartaigh Jeff, How do you do that?

Jeff Dean continues to quietly be one of the most decent people in AI.

Attending #SALA2026? We invite you to visit the Google booth to meet our team and discover our initiatives to empower AI talent across more than 20 countries in Latin America and beyond. You can find more details of our involvement at SALA at goo.gle/4cCEgpT

@sciencegirl Open claw!

Skilled excavator operator returns a soccer ball to a group of kids