Rahma

Research Scientist at @GoogleDeepMind

[Edouard Leurent @eleurent]

Writing a STRONGLY WORDED LETTER with Gemini Diffusion and its Instant Edit tab

[John Lindquist @johnlindquist]

The Future of Development: Gemini Diffusion

[Oriol Vinyals @OriolVinyalsML]

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.

https://t.co/GR7iXn9sBl

[Himanshu Sahni @sahnihim]

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 ⚡️

[Ivana Balazevic @ibalazevic]

🚀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.

[Vova “words are a motherfucker” Zakharov @vovahimself]

Well now, the prospect of using this 'Gemini Diffusion' contraption... frankly, it's a rather delightful thought altogether!

[Rahma @Rahma_Chaa]

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

[Google DeepMind @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

[Google DeepMind @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

[Jean Tarbouriech @jean_tarbou]

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 🪐

[Demis Hassabis @demishassabis]

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
https://t.co/dKlzOQLyK4

[Rahma @Rahma_Chaa]

@rljfutrell @tallinzen Did you see this https://t.co/TsYeuwfpr4 ?

[Olivier Hénaff @olivierhenaff]

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 https://t.co/AOXiPP8Bsu

[Olivier Hénaff @olivierhenaff]

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

[ëugene kharitonov 🏴‍☠️ @n0mad_0]

Read more in a BlackBox EMNLP 2021 paper by @Rahma_Chaa , @robdessi, and myself https://t.co/d1Pabji5xx

[ëugene kharitonov 🏴‍☠️ @n0mad_0]

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? 🧶\

[Ted Gibson, Language Lab MIT @LanguageMIT]

Wanted: Phd candidate Université de Paris 2021

Meaning-based approach to locality constraints

Advisors: Anne Abeillé, Barbara Hemforth, Edward Gibson

Please apply and retweet!

https://t.co/TJzPJHZpSC

[AI at Meta @AIatMeta]

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: https://t.co/7vfJKGHe6u

[Rahma @Rahma_Chaa]

@TonyBelpaeme @LanguageMIT @SimonKirby Apologies for missing your work. It's most definitely not a deliberate snub. We were not aware of it.

[Rahma @Rahma_Chaa]

We demonstrate next that the nature of the emergent systems depends on communication being discrete. Our study suggests that efficient semantic categorization is a general property of discrete communication systems, not limited to human language.

[Rahma @Rahma_Chaa]

I am very proud about our work with @n0mad_0, Emmanuel and Marco accepted at PNAS.

[Rahma @Rahma_Chaa]

We show that artificial neural networks trained to play a discrimination game develop emergent communication systems whose distribution on the accuracy/complexity plane closely matches that of human languages.

[Rahma @Rahma_Chaa]

I am very proud about our work with @n0mad_0, Emmanuel and Marco accepted at PNAS.