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: - Teaching Machines to Draw - https://blog.otoro.net/2017/05/19/teaching-machines-to-draw/ (2017) - Weight Agnostic Neural Networks- https://weightagnostic.github.io) (2019 00:00 Start 01:15 Main Podcast 02:36 Why David joined Stability AI 07:08 The advantages of open source models 16:06 We cannot predict the inventions of tomorrow 23:33 Making memes with generative AI 25:41 The centaur approach to AI 29:27 An introduction to large language models 39:28 The relationship between complex systems & resource constraints 47:57 Large language models are bad at maths 58:18 Modelling AI as an emergent system 01:02:22 Understanding different perspectives and much More!