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Join us on Feb 13 for a talk with Danny Driess on Generalist Robot Models—robot policies that can tackle any task in any environment🚀He’ll cover PaLM-E, RT-2, and Pi0, including how Pi0 enabled a robot to unload a dryer and fold laundry autonomously! lu.ma/35h3nb5e

Join us on Feb 20 for a talk on Generalization vs. Memorization in LLMs. Akshara Prabhakar from Salesforce AI Research will dive into how Chain-of-Thought prompting impacts reasoning—does it truly enhance logic, or is it just smart memorization? lu.ma/40zw4308

Don’t miss our in-person talk on Feb 26 about Google DeepMind's Gemma Models: Making Open Language Models at a Practical Size! Kathleen Kenealy will cover Gemma’s architecture, training methods, and its community-driven impact. lu.ma/jiq0r5jv

Thanks Nikita Karaev for the amazing talk on CoTracker—a model that tracks numerous 2D points across long video sequences! This talk explored the technical aspects of training the model and its cool applications in robotics and life sciences. See the link to the full lecture in the

Language model reasoning is a topic of debate in the AI community. One camp believes language models are merely next-token predictors, while another argues they can reason well—and some even suggest they could become conscious. In this talk, our guest Andrew Lampinen shares how

Making robotics R&D accessible and open to the community is one of the most important missions in democratizing AI. Thanks Remi Cadene for sharing with the BuzzRobot community about LeRobot and how Hugging Face is contributing to this mission! Full lecture link in the comments.

Join us on April 3rd for a talk on Google's AI Co-Scientist! Anil Palepu will share how Gemini 2.0 powers a "generate, debate, and evolve" approach to accelerate scientific discovery—starting with breakthroughs in biomedical research. lu.ma/c2h8fuap

Check out our super interesting discussion with AI researcher and cognitive scientist Joscha Bach on AI consciousness and beyond!!!

AI lacks wisdom—it struggles with uncertainty, reasoning & cooperation. Can metacognition help? 🤖 Join us April 10 for a talk with Igor Grossmann, PhD @igi.bsky.social and Sam Johnson on how AI can learn to reason better & navigate uncertainty. lu.ma/kxohr9zp

Thanks to Sophie Bridgers and Rishub Jain for sharing with the BuzzRobot community the Google DeepMind framework on how AI and humans can complement each other and create synergy! Watch the lecture on our YouTube channel: youtu.be/IeXaiCvPM_E

AGI is edging closer—let’s talk about it! On April 15, we’re hosting an AMA with Lawrence Chan from METR. We’ll unpack AI safety, agents’ ability for long-term tasks, and the latest AGI research. lu.ma/7im0zozv

It was a great pleasure to talk with Peter Norvig, learn his take on the current AI, and of course, get my copy of the textbook signed! The main takeaways (the link to the recording in the first comment): - AI development is not a Kurzweil graph but rather asymptotic. - Re

Anil Palepu from Google Research shared technical details of Co-scientist, a multi-agent system that efficiently collaborates with scientists and accelerates scientific discoveries starting with the biomedical domain. Check out the full lecture to learn how the Google Research

Join us on May 1 as Yiran Zhao shares how Alibaba Group built Babel, a multilingual LLM covering 25 major languages and 90% of the global population, including many underserved languages. lu.ma/o0ql5j3e

On May 8, join us for a talk on Google DeepMind's Approach to AGI Safety & Security. Rohin Shah who leads AGI safety research at Google DeepMind, will break down their technical defenses against misuse and misalignment. Don’t miss it! lu.ma/h4t15uav

In this talk, our guests Igor Grossmann, PhD @igi.bsky.social and Sam Johnson from the University of Waterloo argue that to make AI systems more robust, adaptive to changing environments, and capable of deeper reasoning, we need to help them develop wisdom and metacognition. Full lecture in the comments.

The superintelligence debate is heating up. Daniel Kokotajlo's AI 2027 report raised alarms, and in that context, AI security researcher Joshua Clymer shared his own take on a possible AI takeover within 2 years. In his essay, shared with the BuzzRobot community, he outlines a

We are already seeing AI agents like OpenAI's Codex in production. The number of agents will keep increasing. But what risks do multi-agent systems represent? Our guest, Jason Hoelscher-Obermaier , Director of Research at AI safety research lab Apart Research, highlighted 3 major risks:

Don’t miss our June 12 talk: Enabling Memory & Reasoning in Foundation Agents with Bang Liu from Université de Montréal. Discover how R3Mem and System-1.5 reasoning turn LLMs into autonomous thinkers with advanced memory and 20× faster cognition. lu.ma/hyyrfkwz

Excited to host Zan Gojcic talk next week on NVIDIA DiffusionRenderer, a new technique for neural rendering. It approximates how light behaves in the real world and can turn daytime scenes into night, sunny scenes into cloudy ones, and so on. It combines inverse and forward