77. Artificial Intelligence Investing, Part 1 (Nathan Benaich)

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Nathan Benaich of Playfair Capital joins Nick to cover Artificial Intelligence Investing, Part 1. We will address questions including:

  • Can we start off w/ a simple definition of artificial intelligence?
  • The term ‘Machine Learning’ is often used when discussing AI. In your estimation, is Machine Learning and AI synonymous or are there differences?
  • Can you explain the law of accelerating returns and how the concept relates to AI?
  • Can you give an overview and describe the differences between:
    • Artificial Narrow Intelligence (ANI)
    • Artificial General Intelligence (AGI)
    • Artificial Superintelligence (ASI)
  • When do the foremost thinkers believe that AGI and ASI will be reached?
  • Raw brain power is not the only thing that distinguishes smart beings from one another… From a scientific standpoint, would you be willing to point out the key things that distinguish humans from other organisms on the planet as well as the key thing that distinguishes humans from existing examples of AI?
  • The Turing test is an interesting discussion point w/ regards to AI. Can you briefly review what it is and what it means in the context of AI?
  • I’ve seen different AI technologies categorized (e.g. machine learning / deep learning, predictive analytics, natural language processing and semantic analysis, speech recognition, computer vision, etc). Can you talk about the types of technology and categories within AI?
  • What are some of the well-known examples of AI that we’ve seen over recent years?
  • How does the problem-domain approach relate to the categories by which investors have structured AI… including machine learning / deep learning, predictive analytics, natural language processing and semantic analysis, speech recognition, computer vision?

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