Feb 9, 2023
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