The podcast addresses the limitations and potential of Large Language Models (LLMs) in finance, including their struggles with numerical questions and the concept of "understanding." It explores using machine learning and LLMs to predict clinical trial outcomes and attract investment in early-stage drug development. The discussion covers the dual nature of AI, its potential for misuse (like spreading fake news), and its positive applications in personalized medicine. It also touches on how non-engineers can engage with AI by learning to effectively prompt LLMs. Finally, it discusses the future of cryptocurrencies, the possibility of sovereign entities issuing their own crypto, and the challenges of dealing with market manipulation using LLMs, emphasizing the need for proactive measures and broader participation in developing solutions.
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