754: A Code-Specialized LLM Will Realize AGI — with Jason Warner

Regulation

Jason Warner discusses his role on the operating board of Bridgewater, one of the world's largest and most renowned hedge funds. He explains that the board aims to implement public-like controls in a private entity, especially as the company transitions from founder-led to a more structured organization. Jason's focus is on the technical and AI aspects, helping Bridgewater leverage large language models for trading and other operations.

Bridgewater has a massive head start on that from most of the institutions in the world, but lend a hand where I can on that.

--- Jason Warner

His involvement underscores the growing importance of AI in financial operations and the need for robust regulatory measures. 1

   

Ethics

Jason Warner also touches on the ethical concerns in deploying AI models, using Q Star as an example. He describes how Poolside, his company, is experimenting with autonomous code writing through deconstructed semantic trees. This approach mirrors some of the methodologies rumored to be used by OpenAI's Q Star, emphasizing the importance of ethical considerations in AI research and deployment.

The advantage that you're describing with taking a similar approach to code is that you don't need to have, because you already have it, you have way more abundant data, orders and orders of magnitude more abundant data.

--- Jon Krohn

This highlights the practical ethical concerns in AI operations, particularly in ensuring data integrity and responsible use. 2