Mark your calendar: Dec 11 we’re hosting @danijarh (ex-@GoogleDeepMind ) for an AMA on World Models, Continual Learning and Embodied AI - and what it takes to build machines that truly understand and interact with the world. 👇Register below https://t.co/tqIGqe8DAk

🤖This Thursday: Gemini Robotics On-Device talk! @xiao_ted and @shahdhruv_ from @GoogleDeepMind will share technical details on their most advanced on-device VLA model for robotics. Don’t miss it - register below👇 https://t.co/TzJkxURwaH

Join us this Thursday for a new talk: Electricity Consumption by Data Centers: Figuring Out AI Infra Demands. @DigitalArman and Dr. Sarah Smith from @BerkeleyLab will share insights from their report on the rapid growth of data center electricity use.

Join us on October 16 for an AMA with @TheZvi, author of a popular AI newsletter Don’t Worry About the Vase, as we discuss the latest in AI: Yudkowsky’s new book (If Anyone Builds It, Everyone Dies), SB 53, AI lab competition and more. https://t.co/maKOjXiujg

Most digital work will be automated by 2030. The world needs more distributed data centers to reduce geopolitical pressure. Compute and chip production are still paramount for AI success. Falling behind frontier AI by a year is still acceptable to maintaining competitiveness.

How do we know what machines know? How can we understand the new, emerging behavior of machines? In this conversation between @_beenkim from @GoogleDeepMind and the @buZZrobot community, we dug into the challenges of interpretability and explored how humans and machines can

Join us September 25 for a discussion with @_beenkim, Senior Staff Research Scientist at @GoogleDeepMind DeepMind, to explore new approaches to interpretability - from recent advancements to the challenges ahead as AI becomes more powerful.

On Aug 28, we’re hosting a talk on the Gemini 2.5 Tech Report with @kiranvodrahalli from @GoogleDeepMind . We’ll explore highlights of the report, including Kiran’s contributions on long context and the playful Pokémon evaluation. Register below⬇️ https://t.co/8oZfJjwl0n

Join us on Aug 19 for an in-person AMA with @Jsevillamol Director of @EpochAIResearch on the future of AI - from hardware trends & data challenges to its economic impact and where it’s taking humanity in the next 5 years. Register here:

Some reflections on what consciousness is, how to measure if AI is developing consciousness. The importance of considering AI well being, intersections of AI safety and well being — these and many more things we covered with @rgblong , the executive director of @eleosai . It was

Join us on June 26 for a talk on the credibility of Chatbot Arena as an AI benchmark. @cohere researchers @mziizm & @singhshiviii will present "The Leaderboard Illusion", a deep dive into bias, strategy, and the race to the top in LLM evaluation. https://t.co/XiA4yOoWET

The problem that @eshear is working on deeply resonates with me: How to align AI and humans together so both see each other as part of their tribe. This doesn't mean aligning AI to human preferences, which is what AI labs seek to do today, by imposing a system of control on AI.

Enjoyed the opportunity to host AMA with @jeffclune , one of the luminaries of AI research. We covered continual learning in AI and why it's so challenging (spoiler alert: AGI will probably happen before we solve it), catastrophic forgetting in AI systems and possible ways to

Excited to host @ZGojcic 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

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, @JasonObermaier , Director of Research at AI safety research lab @apartresearch, 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. https://t.co/15syA07Jjj

The superintelligence debate is heating up. @DKokotajlo'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

In this talk, our guests @psywisdom and @SamuelGBJohnson from the @UWaterloo 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.

On May 8, join us for a talk on @GoogleDeepMind's Approach to AGI Safety & Security. @rohinmshah who leads AGI safety research at @GoogleDeepMind, will break down their technical defenses against misuse and misalignment. Don’t miss it! https://t.co/kfVGq7lShQ

Join us on May 1 as @yiran_zhao924 shares how @AlibabaGroup built Babel, a multilingual LLM covering 25 major languages and 90% of the global population, including many underserved languages. https://t.co/LbClwYtHe3