Is There a Future in Machine Learning?

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I'm really passionate about not just the technology, machine learning technology, but also making them broadly available to the world. The collective mind, I call it the human colossus now that we have AI. As you scale up the model, you get better capabilities, but at the same time, you get more control from the people who were working on these. Just like how decades ago there was open source operating systems and close source operating systems,. Now there are open source models and close source models. There needs to be that spectrum.

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:

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