Research Scientist at @GoogleDeepMind

Joined December 2017
Writing a STRONGLY WORDED LETTER with Gemini Diffusion and its Instant Edit tab
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Rahma retweeted
John Lindquist
@johnlindquist21 May 2025
The Future of Development: Gemini Diffusion
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Today we introduced Gemini Diffusion⚡️ (& DeepThink, Veo3, Imagen4, 2.5 updates...). It's been a dream of mine to remove the need for "left to right" text generation. It's so fast, that we had to *slow down* the video during the presentation. deepmind.google/models/gemin…
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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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🚀Meet Gemini Diffusion, our first diffusion-based and super fast language model, just announced at Google I/O!🚀 Very excited to be able to share what I've been working on for the past little while with our amazing small team @GoogleDeepMind.
Google DeepMind
@GoogleDeepMind20 May 2025
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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Well now, the prospect of using this 'Gemini Diffusion' contraption... frankly, it's a rather delightful thought altogether!
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Rahma retweeted
Google DeepMind
@GoogleDeepMind20 May 2025
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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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 🪐
Google DeepMind
@GoogleDeepMind20 May 2025
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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In December we began the Gemini Era, and we’ve continued to make relentless progress since. Today we’re thrilled to introduce the next generation: Gemini 1.5 - hugely enhanced performance, highly efficient architecture & long-context length breakthrough blog.google/technology/ai/go…
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Humans and animals reason about events spanning days, weeks, and years, yet current CV systems live largely in the present. Introducing Memory-Consolidated ViT, whose context extends far into the past and sets a new SOTA in long-video understanding with a 10x smaller model
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Transformer seq2seq models enjoy epic practical success, however, they miserably fail on SCAN data that probes for compositional reasoning.. - wait! compositionality is a cornerstone of the language. Is there a contradiction? Is work on SCAN compositionality even useful then? 🧶\
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Wanted: Phd candidate Université de Paris 2021 Meaning-based approach to locality constraints Advisors: Anne Abeillé, Barbara Hemforth, Edward Gibson Please apply and retweet! llf.cnrs.fr/en/node/6836
The way people use words to describe colors is remarkably consistent across thousands of languages. New Facebook AI research published in the “Proceedings of the National Academy of Sciences” shows that cutting-edge AI systems name colors in a similar way: ai.facebook.com/blog/ai-name…
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The latest generation of adversarial image attacks is, uh, somewhat simpler to carry out openai.com/blog/multimodal-n…
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Yay, our w/ @Rahma_Chaa work on probing inductive biases of seq2seq models & connecting them Solomonoff's theory of induction got accepted at #ICLR2021 🎉🥳 openreview.net/forum?id=YmA8…
Did you know that LSTM-based seq2seq models can learn to count, add, and multiply by a constant - from a SINGLE example? That Transformers tend to "reason" hierarchically, while CNNs-linearly? 1/n
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I'm shocked how hard it is to generate text about Muslims from GPT-3 that has nothing to do with violence... or being killed...
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We're presenting this work today at 18:20 CET as part of the #NeurIPS2020 SAS workshop. Check it out if you want to hear more about the upcoming Zero Resource Speech challenge!
The 2021 edition of the Zero Resource Speech challenge is out! Details on the benchmark are presented in our paper : arxiv.org/pdf/2011.11588.pdf. Also do check out the Zerospeech website (zerospeech.com/2021/) for an overview of the upcoming challenge.
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