Discussion

• r/technology r on reddit

  Google has a big AI advantage: it already knows everything about you |  Google is slowly giving Gemini more and more access to user data to ‘personalize’ your responses.

• r/technews r on reddit

  Google has a big AI advantage: it already knows everything about you |  Google is slowly giving Gemini more and more access to user data to ‘personalize’ your responses.

• @kantrowitz Alex Kantrowitz on x

  Here's the transcript of our conversation. Some highlights! Hassabis on agents: “We are trying to build AGI, which is a full general intelligence, clearly, that would have to understand the physical environment, physical world around you. And two of the massive use cases for

• @kantrowitz Alex Kantrowitz on x

  This was pretty funny. https://www.bigtechnology.com/ ... [image]

• @kantrowitz Alex Kantrowitz on x

  I spoke with @GoogleDeepMind CEO @demishassabis and @Google co-founder Sergey Brin yesterday about AI scaling, the AGI timeline, robotics, simulation theory & plenty more. Full interview is up on Big Technology Podcast on your app of choice. [image]

• @timkellogg.me Tim Kellogg on bluesky

  oh wow, Gemini is doing is doing a text diffusion model  —  this is likely most useful when you have a fixed peak amount of time you can wait for a response, like in robotics  —  blog.google/technology/g...

• @timkellogg.me Tim Kellogg on bluesky

  I got access to Gemini Diffusion.  It definitely has small model feels, but i like it  —  long responses appear in evenly-sized chunks.  so i think they're doing like 1000 tokens at a time.  i did not anticipate that but it makes sense [embedded post]

• @bodonoghue85 Brendan O'Donoghue on x

  Excited to share what my team has been working on lately - Gemini diffusion! We bring diffusion to language modeling, yielding more power and blazing speeds! 🚀🚀🚀 Gemini diffusion is especially strong at coding. In this example the model generates at 2000 tokens/sec, [video]

• @oriolvinyalsml Oriol Vinyals on x

  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://deepmind.google/... [video]

• @jack_w_rae Jack Rae on x

  The Gemini Diffusion release feels like a landmark moment. For text generation, autoregressive models have always outperformed diffusion models from a quality perspective. It wasn't clear that the gap could ever be closed. The team behind this have kept laser focused, broken [ima…

• @dorialexander Alexander Doria on x

  Gemini Diffusion does pass honorably my nearly impossible OCR correction benchmark. [image]

• @kalomaze @kalomaze on x

  ughhhh how do they determine adequate depth. i dont wanna be in the sampling mines again if this approach catches on

• @flennerhag Sebastian Flennerhag on x

  Excited to share what we've been cooking - Gemini Diffusion!⚡️ Super proud of the team - cracking text diffusion was never a given but now the door is open for new capabilities and unparalleled speed. You can experience vibe-coding in real time here: https://deepmind.google/... […

• @jainprateek_ Prateek Jain on x

  Thrilled about Gemini Diffusion, the SOTA text diffusion model! Generates 2000 tokens/sec while outperforming Flash-lite on coding tasks. Really ambitious, innovative project with endless possibilities, and the team is just getting started! Congrats @bodonoghue85, @flennerhag, [i…

• @hillbig @hillbig on x

  Gemini Diffusion employs diffusion models for LLM, achieving nearly 5x faster output (1500 tokens/second). While diffusion LLMs are particularly effective for coding where fill/fix-in-the-middle are common, this will likely catch up in other domains. https://deepmind.google/...

• @deedydas Deedy on x

  The future of building software. LLMs are pretty good at generating code, but they're slow. Gemini Diffusion is 10-15x faster than autoregressive models by using diffusion, which used to be for images. This is the 2nd model after Mercury Small to show this. 2/12

• @blancahuergo Blanca Huergo on x

  Very excited to share what I have been working on. Having been part of the Gemini Diffusion team since day one, it is amazing to see our model demoed at Google I/O :) sign up below to try it out!

• @testingcatalog @testingcatalog on x

  Gemini Diffusion will be one of the steps that will define how user interfaces will evolve within the next several years. This is a huge prerequisite for the next level of generative UIs. There won't be a need to build a frontend UIs soon. Insane 🤯 [video]

• @eleurent Edouard Leurent on x

  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🪐 [video]

• @johnlindquist John Lindquist on x

  The Future of Development: Gemini Diffusion [video]

• @jean_tarbou Jean Tarbouriech on x

  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 🪐 [video]

• @kimmonismus @kimmonismus on x

  [video] Gemini Diffusion has also been lost among the announcements. However, nobody would have expected a diffusion model with 2000t/s to be on a par with Transformer models. It is particularly good at coding. Underhyped.

• @pminervini @pminervini on x

  Since Gemini Diffusion was just announced, diffusion LLMs may become mainstream in the near future! Being able to incorporate arbitrary constraints into the model can unlock many possibilities in terms of trustworthiness and robustness 🚀🚀🚀 Paper: https://arxiv.org/... [image]

• @lauriewired @lauriewired on x

  I tried to tell you guys that dLLMs were cool😉 gemini diffusion is a neat coder!

• @googleai @googleai on x

  Gemini Diffusion, our newest research model, is significantly faster than our fastest model so far AND matches its coding performance. By correcting errors as the model thinks, it is extremely fast for editing tasks like math and coding. [image]

• @wesrothmoney Wes Roth on x

  I just coded up 7 apps in 30 seconds with Gemini Diffusion...this has to be a world record. the video is 1x speed 👀 [video]

• @volokuleshov Volodymyr Kuleshov on x

  Congratulations Google on announcing a Mercury-level diffusion language model! 🙃 https://deepmind.google/...

• @petarv_93 Petar Veličković on x

  little known fact: i sit next to the team that built gemini diffusion — such an amazing and dedicated group of people, keeping us inspired every day! — and they've now delivered this amazing model for google i/o. give it a try... it's blazing fast! 🚀♊️🪐

• @pranamanam Pranam Chatterjee on x

  As you know, we've been deep in the discrete diffusion trenches for sequence design for quite some time now (both theoretically and for biology!)—PepTune for multi-objective discrete diffusion for therapeutic peptide design from @_sophia_tang_, P2 for path planning and improved

• @cindyxywu Cindy Wu on x

  My team at GDM has just launched Gemini Diffusion, a SOTA text diffusion model, at #GoogleIO. Text diffusion generates the text in parallel via iterative refinement, making it super fast. Get on the waitlist to try the experimental demo model: https://deepmind.google/...

• @stanfordnlp @stanfordnlp on x

  It's an interesting phenomenon of the current age how development of large deep learning text models (LLMs) is sucking in the research brainpower of so many)!

• @sedielem Sander Dieleman on x

  In 2022, I worked on text diffusion for a bit and wrote a blog post. Since then, people have regularly asked me about scaling diffusion LLMs. All the while, I was on the first row watching Brendan assemble a cracked team and make it a reality. Now I can stop being coy about it😁

• @amyxlu Amy Lu on x

  It's finally happening!!! Diffusion is so much more satisfying than autoregressive for protein & DNA sequences that don't really have directionality 🥹 Waiting for this to empirically land & replace BERT/one-step discrete diffusion for protein foundation models 👀

• @jeremyphoward Jeremy Howard on x

  @bodonoghue85 Makes me so happy to see this! :D I've hearing about this project for quite some time, and was really hoping that it would see the light of day.

• @archiexzzz Archie Sengupta on x

  Got access to Google diffusion. HOLY SH!T 909 tokens/s ?????? I made a calendar in 3s? 3 fcuking seconds? [image]

• @googledeepmind @googledeepmind on x

  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 [image]

• r/LocalLLaMA r on reddit

  Why nobody mentioned “Gemini Diffusion” here?  It's a BIG deal

• r/mlscaling r on reddit

  Gemini Diffusion