The Future of Artificial Intelligence will happen on consumer hardware

3min Snip

00:00

Play full episode

Summary

Comments

Transcript

Episode notes

Having an open-source ecosystem for AI models allows for transparency, understanding, innovation, and identification of malicious uses. With open models, individuals can develop collectively, enabling innovations that are not possible with closed models in big companies. The focus shifts to optimizing performance with constrained resources, like developing Stable Diffusion that fits on consumer-level GPUs, allowing more people to work on it. This contrasts with the need for large data centers for massive models. The real advancements in AI are expected to occur at the individual GPU level, akin to innovations seen in personal computers compared to large supercomputers of the past.

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