David Ha — AI & Evolution: Learning to do More with Less (EP.146)

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
• The Man from the Future: The Visionary Life of John von Neumann; by Ananyo Bhattacharya