Sholto Douglas & Trenton Bricken - How to Build & Understand GPT-7's Mind
Dwarkesh Podcast
Navigating AI's Evolution and Challenges
This chapter explores the implications of AI driven by associative learning and the potential for superintelligence and recursive self-improvement. The discussion highlights the challenges of compute power, model reliability, and the intricacies of conducting experiments in AI research. Additionally, it emphasizes the importance of adaptive problem-solving and prioritization in the evolving landscape of machine learning.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
