47 min listen
David Ha — AI & Evolution: Learning to do More with Less (EP.146)
FromInfinite Loops
ratings:
Length:
56 minutes
Released:
Feb 9, 2023
Format:
Podcast episode
Description
David Ha is the Head of Strategy at Stability AI, and one of the top minds working in AI today. He previously worked as a research scientist in the Brain team at Google. David is particularly interested in evolution and complex systems, and his research explores how intelligence may emerge from limited resource constraints. He joins the show to discuss the advantages of open-source models, modelling AI as an emergent system, why large language models are bad at maths and MUCH more! Important Links: David’s website David’s Twitter Teaching Machines to Draw (2017) Weight Agnostic Neural Networks (2019) Show Notes: Why David joined Stability AI The advantages of open-source models We cannot predict the inventions of tomorrow Making memes with generative AI The centaur approach to AI An introduction to large language models The relationship between complex systems and resource constraints Large language models are bad at maths Modelling AI as an emergent system Understanding different perspectives MUCH more! Books Mentioned: The Beginning of Infinity: Explanations That Transform the World; by David Deutsch Why Greatness Cannot Be Planned: The Myth of the Objective; by Kenneth Stanley and Joel Lehman
Released:
Feb 9, 2023
Format:
Podcast episode
Titles in the series (100)
Morgan Housel – The Psychology of Money (EP.06): In this episode of Infinite Loops we spoke with Morgan Housel, a Partner at the Collaborative Fund. Our conversation covered: The content of Morgan’s upcoming book Whether money is the ‘last taboo’ Money as a hierarchal system What shapes the... by Infinite Loops