Gemini Pretraining @GoogleDeepMind, RS. Birds, poetry, games, robots

London, England
Joined April 2009
Edouard Leurent retweeted
Introducing Gemini 4 Argon – our new frontier model. It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.
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Edouard Leurent retweeted
Very excited to share that an advanced version of Gemini Deep Think is the first to have achieved gold-medal level in the International Mathematical Olympiad! 🏆, solving five out of six problems perfectly, as verified by the IMO organizers! It’s been a wild run to lead this effort and I am grateful to everyone in the team for such an amazing achievement! Blog post in the thread and more to share soon!
Super thrilled to share that our AI has has now reached silver medalist level in Math at #imo2024 (1 point away from 🥇)! Since Jan, we now not only have a much stronger version of #AlphaGeometry, but also an entirely new system called #AlphaProof, capable of solving many more Olympiad problems. This is a large-scale project that I was fortunate to co-lead at @GoogleDeepMind! See our blog & NYT articel below! Blog: dpmd.ai/imo-silver NYT: nytimes.com/2024/07/25/scien…
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Writing a STRONGLY WORDED LETTER with Gemini Diffusion and its Instant Edit tab
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Edouard Leurent retweeted
The Future of Development: Gemini Diffusion
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Edouard Leurent retweeted
Such a privilege to work on Gemini Diffusion with an amazing team! From a small research project to launching at I/O - we've got unstoppable aura 🚀 Welcome to the era of live vibe coding ⚡️
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Our model is out there in the world! 🚀 It's been the highlight of my career to be part of this outstanding team. It's been incredible to see how fast Text Diffusion went from moonshot into reality. And speaking of fast... 1000+ tokens per second!
We’ve developed Gemini Diffusion: our state-of-the-art text diffusion model. Instead of predicting text directly, it learns to generate outputs by refining noise, step-by-step. This helps it excel at coding and math, where it can iterate over solutions quickly. #GoogleIO
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Edouard Leurent retweeted
As I was saying: it's happening
We’ve developed Gemini Diffusion: our state-of-the-art text diffusion model. Instead of predicting text directly, it learns to generate outputs by refining noise, step-by-step. This helps it excel at coding and math, where it can iterate over solutions quickly. #GoogleIO
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Excited to share what I've been up to: Gemini Diffusion is FAST! I'm convinced this will revolutionise iterative workflows: refine, get instant feedback, repeat! So proud of what our small team achieved here🪐
We’ve developed Gemini Diffusion: our state-of-the-art text diffusion model. Instead of predicting text directly, it learns to generate outputs by refining noise, step-by-step. This helps it excel at coding and math, where it can iterate over solutions quickly. #GoogleIO
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Edouard Leurent retweeted
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
We’ve developed Gemini Diffusion: our state-of-the-art text diffusion model. Instead of predicting text directly, it learns to generate outputs by refining noise, step-by-step. This helps it excel at coding and math, where it can iterate over solutions quickly. #GoogleIO
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Edouard Leurent retweeted
1000+ words per second! ⚡ We just unleashed Gemini Diffusion at #GoogleIO! 🚀 Awesome being part of the team that took this from a small research project all the way to I/O @GoogleDeepMind 🪐
We’ve developed Gemini Diffusion: our state-of-the-art text diffusion model. Instead of predicting text directly, it learns to generate outputs by refining noise, step-by-step. This helps it excel at coding and math, where it can iterate over solutions quickly. #GoogleIO
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It's been an incredible experience being part of the team that took this from a small research project all the way to I/O 🪐 Super proud of the team! @GoogleDeepMind
We’ve developed Gemini Diffusion: our state-of-the-art text diffusion model. Instead of predicting text directly, it learns to generate outputs by refining noise, step-by-step. This helps it excel at coding and math, where it can iterate over solutions quickly. #GoogleIO
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Edouard Leurent retweeted
Steerability is the next frontier of generative models! Having knobs that control the behavior of AI systems will greatly improve their safety & usability. I’m very excited to present ✨Conditional Language Policy (CLP)✨, a multi-objective RL framework for steering language models, at #EMNLP2024 @emnlpmeeting! 🧵
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Edouard Leurent retweeted
Thank you for participating in the Nate Silvers election simulation universe 6896. You have three hours to say goodbye to your loved ones before shutdown!
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I have never seen the orange crown of an Orange-crowned Warbler. Have you?
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Edouard Leurent retweeted
uhh guys I don’t want to be an alarmist or anything…
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Edouard Leurent retweeted
Let me tell you my favorite story about counting! no, not gifts under the tree! By counting particles (colloids, cells, bacteria🦠, bubbles🫧… living things, gifts🎁) in observation boxes, we infer their dynamic properties! We call it *Countoscope*: arxiv.org/abs/2311.00647
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Edouard Leurent retweeted
‘Infinite’ Lego domino ring 📹 JK Brickworks xitter.cf/visualfeastwang/status…
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We’re presenting AlphaProteo: an AI system for designing novel proteins that bind more successfully to target molecules. 🧬 It could help scientists better understand how biological systems function, save time in research, advance drug design and more. 🧵 dpmd.ai/3XuMqbX
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👇 If you haven't already tried it: @googlechrome now has an embedded version of Gemini - and specialized guides for developers detailing how to use other local models within your browser. – at San Francisco, CA
Built-in AI in Chrome (dev channel)
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Edouard Leurent retweeted
uhh, anaconda just sent a message to our HPC admins that we're in violation their ToS and we now need to pay for a license or remove all their software from our system?
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