Finding Guests Algorithmically
Discover the innovative approach to sourcing guests for the show, where a staggering 90-95% of selections are driven by an algorithm. The process involves crawling extensive archives for relevant publications, extracting text, and scanning for specific keywords, ensuring that only the most pertinent voices in the field are featured. Insights into this systematic method reveal a blend of technology and personal curation that shapes the show's unique perspective.In this clip
From this podcast
Data Skeptic
Q&A with Kyle
Related Questions
How does AI understand academic papers as discussed in the episodes arXiv Publication Patterns and Analyzing Research Papers?
What do you think about the potential for Large Language Models (LLMs) to scale to Artificial General Intelligence (AGI) as discussed in the episode Ryan Greenblatt - Solving ARC with GPT4o, the clip Arc Challenge Reflections, and the episode Aravind Srinivas: Perplexity CEO on Future of AI, Search & the Internet | Lex Fridman Podcast #434?
What do you think about the potential for Large Language Models (LLMs) to scale to Artificial General Intelligence (AGI) as discussed in the episode Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333?