Rahma retweeted

John Lindquist@johnlindquist21 May 2025
United States
United StatesConnected via United States Android AppAccount-level information, not a live location or per-post device.
The Future of Development: Gemini Diffusion
Rahma retweeted
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…
Rahma 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 ⚡️
Rahma retweeted
🚀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 2025United Kingdom
United KingdomConnected via WebAccount-level information, not a live location or per-post device.
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
Well now, the prospect of using this 'Gemini Diffusion' contraption... frankly, it's a rather delightful thought altogether!
Rahma retweeted

Google DeepMind@GoogleDeepMind20 May 2025
United Kingdom
United KingdomConnected via WebAccount-level information, not a live location or per-post device.
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
Rahma 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 🪐
Google DeepMind@GoogleDeepMind20 May 2025United Kingdom
United KingdomConnected via WebAccount-level information, not a live location or per-post device.
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
Rahma retweeted
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…
Rahma retweeted
Another tour de force by @ibalazevic, and a thoroughly enjoyable new collaboration with @YugeTen, @pinelopip3, @Rahma_Chaa, and @skandakoppula
You can find the paper here arxiv.org/abs/2402.05861
Rahma retweeted
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
Rahma retweeted
Read more in a BlackBox EMNLP 2021 paper by @Rahma_Chaa , @robdessi, and myself arxiv.org/abs/2107.01366
Rahma retweeted
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? 🧶\
Rahma retweeted
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
Rahma retweeted
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…
Rahma retweeted
The latest generation of adversarial image attacks is, uh, somewhat simpler to carry out openai.com/blog/multimodal-n…
Rahma retweeted
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…
Rahma retweeted
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...
Rahma retweeted
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.
Rahma retweeted
Looking forward to our CoMaze Live Coding Session at EmeCom20 @NeurIPS Dec 12th 10:40 EST
marieossenkopf.webnode.com/l…
@robdessi @filangelos @aggielaz @j_foerst @mnoukhov @backpropper @BullardKalesha @n0mad_0 @Rahma_Chaa






















