BuzzRobot

BuzzRobot is a communications company founded by OpenAI alumni that is focused on AI storytelling.

[BuzzRobot @buZZrobot]

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

[BuzzRobot @buZZrobot]

🤖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

[BuzzRobot @buZZrobot]

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. https://t.co/Dx5DBm0sny

[BuzzRobot @buZZrobot]

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

[Sophia @sopharicks]

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.

These and many more interesting topics I had the pleasure to discuss with @Jsevillamol , the Director of @EpochAIResearch .

Find the full discussion on the @buZZrobot YouTube channel.

Timestamps:
0:00 What AI will look like by 2035?
4:57 AI agents and their limitations
9:12 Trillions of dollars investments into AI infra
13:57 Big tech to generate trillions of dollars revenue
16:32 Economic impact of AI
23:19 Geopolitical implications of AI
35:18 AI arms race
39:19 AI innovations to take us to Superintelligence

[Sophia @sopharicks]

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 better understand each other.

Watch the full discussion on our YouTube channel.

Thank you, Been, for taking the time to talk to us!

Timestamps:
0:00 Intro
0:18 AI teaches grandmasters chess
05:30 AI neologisms
10:17 Extracting knowledge from machines
13:43 Interpretability research
17:19 Are we keeping up with AI progress
18:34 New AI related terms
20:26 The right direction for interpretability
23:35 AI lying
27:49 Conseptual maps
30:30 AI researchers bias
33:33 Generalizing AI teaching humans
35:11 Is AI sentient
36:04 Does AI has concepts
41:53 Progress in machine understanding

[BuzzRobot @buZZrobot]

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. https://t.co/hws4zUncz8

[BuzzRobot @buZZrobot]

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

[BuzzRobot @buZZrobot]

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: https://t.co/aVWsKPkZvg

[Sophia @sopharicks]

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 a blast!

Link to the recording below👇

Timestamps:
0:00 Intro
0:51 Eleos AI research and funding
3:59 Are LLMs conscious
4:53 Intro into AI wellbeing research
6:32 Defining consciousness in AI
14:44 Correlation between consciousness and wellbeing in AI
20:19 Do AI models feel or just pull from training data? 23:01 The AI ocean vs. AI personas consciousness 26:38 When a robot commits a crime
29:16 If an LLM is just a tool why should we care
31:49 Should we care about human welfare instead 33:29 Changing unethical AI frameworks
36:33 AI welfare tough questions
39:43 When will AI develop consciousness?

[BuzzRobot @buZZrobot]

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

[Sophia @sopharicks]

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. You can't control something that is more powerful than you are.

What you can do is align yourself with AI, and AI might align itself with you. Tell good stories to AI and show it your care and kindness. Then there's a higher probability that it will see us as part of its tribe. This is a more holistic approach to alignment than anyone else is talking about right now.

AI alignment is one of the most fundamental AI research problems. Knowing that people like Emmett are working on it really gives me hope that maybe we have a chance to get Superintelligence right.

The link to the full talk is in the first comment.👇

[Sophia @sopharicks]

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 address it. We also speculated on the AGI timeline, which AI lab has a better shot at building AGI, the nationalization of AI labs, and more. You don't wanna miss this conversation!

Full conversation at the link below.👇

[Sophia @sopharicks]

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 rendering into a unified neural engine that outperforms SOTA methods.

The talk is online. Use the link below to register and join the discussion with Zan https://t.co/w6XmxZx5lg

[Sophia @sopharicks]

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:
✔️miscoordination (AIs with shared goals still fail);
✔️conflict (resource competition can rapidly escalate);
✔️collusion (AIs cooperate against human interests).

Learn more about those risks in Jason's recent talks for the @buZZrobot community. See the link below👇

[BuzzRobot @buZZrobot]

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

[Sophia @sopharicks]

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 detailed scenario and estimates a 20% chance it could happen.

Check out our YouTube channel for the full talk - link in the comments 👇

[Sophia @sopharicks]

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.

[BuzzRobot @buZZrobot]

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

[BuzzRobot @buZZrobot]

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