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18min chapter
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.
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