Andrei A. Rusu

77 posts

Andrei A. Rusu

Andrei A. Rusu

@andreialexrusu

Google DeepMind Research Scientist. Grew up @GoogleDeepMind. PhD @UCL. Interests: Continual Learning, Agents, Deep Learning Architectures, Neuroscience.

London, UK Katılım Haziran 2009
460 Takip Edilen803 Takipçiler
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Andrei A. Rusu
Andrei A. Rusu@andreialexrusu·
I'm hiring for my team at GDM! If you’re passionate about engineering scalable agentic learning systems and doing impactful research, please apply here: goo.gle/4wsFoTU
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Arthur Douillard
Arthur Douillard@Ar_Douillard·
The DiLoCo team at Google DeepMind and Google Research is proud to release Decoupled DiLoCo, the next frontier for resilient AI pre-training. Decoupled DiLoCo enables training with datacenters across the world, using heterogeneous hardware, and never halting the system despite hardware failures.
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Demis Hassabis
Demis Hassabis@demishassabis·
Celebrating the milestone of a massive 150+ million downloads of Gemma 4 with the release of the new Gemma 4 12B model! It's incredibly powerful for such a small model and it’s tiny enough to run locally on a laptop with just 16GB VRAM. Apache 2.0 license - happy building!
Google Gemma@googlegemma

Meet Gemma 4 12B! A unified, encoder-free multimodal model designed to bring high-performance intelligence directly to your laptop, and released under an Apache 2.0 license. Bridging the gap between edge efficiency and advanced reasoning. Here is what’s new with Gemma 4 12B: 👇

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Demis Hassabis
Demis Hassabis@demishassabis·
I've always been passionate about games and they've played a big part in @GoogleDeepMind’s history, as the perfect proving ground for AI. Thrilled to announce this research partnership with @FenrisCreations - @EveOnline is one of the most extraordinary games ever built and has an amazing community. Very excited to work with @HilmarVeigar and the team!
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Google DeepMind
Google DeepMind@GoogleDeepMind·
This is Decoupled DiLoCo: our new resilient and flexible way to train advanced AI models across multiple data centres. 🧵
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koray kavukcuoglu
koray kavukcuoglu@koraykv·
Gemini 3.1 Flash-Lite is available now! It takes an unbelievable amount of complex engineering to make AI feel instantaneous, enabling exciting new frontiers for experimentation!
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Oriol Vinyals
Oriol Vinyals@OriolVinyalsML·
Classic LLM dilemma: smart vs fast. The new reality with Gemini 3 Flash: Why not both? That trade-off has never felt smaller. Congrats to the team! ⚡️
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Google AI Developers
Google AI Developers@googleaidevs·
Gemini 3 Pro is the frontier of multimodal AI, delivering SOTA performance across document, screen, spatial, and video understanding. Read our deep dive on how we’ve pushed our core capabilities to power hero use cases across: + Docs: "derender" complex docs into structured code (HTML/LaTeX) + Screen: build robust computer agents that automate complex tasks + Spatial: generate collision-free trajectories for robotics & XR + Video: analyze sports footage using high-FPS processing with "thinking" mode See how these capabilities are transforming workflows in education, biomedical, and law/finance → goo.gle/3Mt3UlT
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Oriol Vinyals
Oriol Vinyals@OriolVinyalsML·
The secret behind Gemini 3? Simple: Improving pre-training & post-training 🤯 Pre-training: Contra the popular belief that scaling is over—which we discussed in our NeurIPS '25 talk with @ilyasut and @quocleix—the team delivered a drastic jump. The delta between 2.5 and 3.0 is as big as we've ever seen. No walls in sight! Post-training: Still a total greenfield. There's lots of room for algorithmic progress and improvement, and 3.0 hasn't been an exception, thanks to our stellar team. Congratulations to the whole team 💙💙💙
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Demis Hassabis
Demis Hassabis@demishassabis·
We’ve been intensely cooking Gemini 3 for a while now, and we’re so excited and proud to share the results with you all. Of course it tops the leaderboards, including @arena, HLE, GPQA etc, but beyond the benchmarks it’s been by far my favourite model to use for its style and depth, and what it can do to help with everyday tasks.
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Google DeepMind
Google DeepMind@GoogleDeepMind·
An advanced version of Gemini 2.5 Deep Think has achieved gold-medal level performance at the ICPC 2025 - one of the world’s most prestigious programming contests. 🏅 Building on the model's success in math at the IMO, this marks another historic milestone for advanced AI. 🧵
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Google AI Developers
Google AI Developers@googleaidevs·
Imagen 4 is now generally available! The update also introduces a new Imagen 4 Fast model, for rapidly generating images at only $0.02 per image.
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Demis Hassabis
Demis Hassabis@demishassabis·
Gemini 2.5 Deep Think now available for Ultra subscribers! Great at tackling problems that require creativity & planning, it finds the best answer by considering, revising & combining many ideas at once. A faster variation of the model that just achieved IMO gold-level. Enjoy!
Google DeepMind@GoogleDeepMind

For researchers, scientists, and academics tackling hard problems: Gemini 2.5 Deep Think is here. 🤯 It doesn't just answer, it brainstorms using parallel thinking and reinforcement learning techniques. We put it into the hands of mathematicians who explored what it can do ↓

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Demis Hassabis
Demis Hassabis@demishassabis·
Introducing AlphaEarth Foundations an AI model that integrates petabytes of satellite data into a single digital representation of Earth. It'll give scientists a nearly real-time view of the planet to incredible spatial precision, and help with critical issues like food security, deforestation & water resources. More info here: goo.gle/4l7fZsC
Google DeepMind@GoogleDeepMind

Our new AI model AlphaEarth Foundations is mapping the planet in astonishing detail. 🌏🔍 Scientists will now be able to track the impact of deforestation, monitoring crop health, and more – significantly faster, thanks to our new datasets. 🧵

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Google DeepMind
Google DeepMind@GoogleDeepMind·
An advanced version of Gemini with Deep Think has officially achieved gold medal-level performance at the International Mathematical Olympiad. 🥇 It solved 5️⃣ out of 6️⃣ exceptionally difficult problems, involving algebra, combinatorics, geometry and number theory. Here’s how 🧵
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Google DeepMind
Google DeepMind@GoogleDeepMind·
Start building with Veo 3: our state-of-the-art video generation model now available in paid public preview via the Gemini API and @Google AI Studio. 🎨 Here's how to try it → goo.gle/4eUk9m9
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