
Next goal: 5
Nomination created on August 14, 2026

Nobel Laureate. Co-Founder & CEO @GoogleDeepMind - working on AGI. Solving disease @IsomorphicLabs. Trying to understand the fundamental nature of reality.
Bloomberg's Joe Weisenthal and Tracy Alloway analyze the weird patterns, the complex issues and the newest market crazes. Join the conversation every Monday and Thursday for interviews with the most interesting minds in finance, economics and markets.
No context yet for this conversation.
Champion Hub
1 person wants this. Add your vote.
0 of 6 done
Champion Hub
Every way to move this nomination, in one place.
Record a short video telling everyone why this dialogue should happen. Your clip gets featured right here.
No voices yet. Submit a tweet, video, or post to be the first.
Suggested
The biggest barrier to AI adoption is trust, not technology.
In healthcare, finance, and even scientific research, the most advanced AI models are useless if regulators and the public don't trust them. Building that trust — through interpretability, testing, and oversight — may be a harder problem than model accuracy.
Is the AI scaling era running into physical limits?
As compute costs and energy demands explode, what happens when the traditional scaling laws that have powered AI progress start to plateau? How should the industry think about the economics of the next generation of models?
Can reinforcement learning unlock discoveries beyond games?
From AlphaGo to AlphaZero, DeepMind has used reinforcement learning to conquer games. What other real-world problems are structured enough for RL to deliver similar breakthrough results, especially in chemistry or materials science?