Join host Craig Smith on episode #177 of Eye on AI as he explores the cutting-edge world of generative models in artificial intelligence with Björn Ommer, a visionary AI researcher and Head of Computer Vision & Learning Group at Ludwig Maximilian University of Munic.
In this episode, Björn delves into the fascinating inner workings of diffusion models, shedding light on the pivotal role these models play in advancing technology and society. Discover the groundbreaking development of stable diffusion, a key innovation by Bjorn's team that is setting new standards in the democratization of AI technology.
Learn about the challenges and solutions in making AI accessible on consumer hardware, ensuring that the power of generative AI is not confined to well-funded organizations but available to all. Bjorn shares his expert insights on the balance between open-source innovation and proprietary development, emphasizing the societal implications of generative AI.
This episode is an essential listen for anyone intrigued by the potential of AI to transform our understanding of the visual world, the importance of accessibility in technology, and the future of AI development.
If you're captivated by the evolution of AI and the profound impact of generative models like stable diffusion, don't forget to rate us on Apple Podcast and Spotify.
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview and Introduction
(01:38) Bjorn Omer's Journey into AI
(03:03) The Evolution of AI Before Deep Learning
(06:38) Democratizing AI with Stable Diffusion
(09:45) Explaining Diffusion Models
(13:40) Challenges of AI on Consumer Hardware
(17:05) The Binding Problem in Vision Research
(22:27) Mechanisms in Stable Diffusion: Attention and Diffusion Processes
(26:09) Open Source vs. Proprietary AI Models
(30:16) Making Compute Resources More Accessible
(34:30) Reducing Compute Requirements in AI Models
(38:52) The Concept of World Models in AI Research
(41:50) The Future of AI and the Fallacy of Scaling
Episode 23 - AutoML with Determined AI
Episode 22 - Brendan McCord
Episode 20 - John Platt
Episode 19 - Chelsea Finn
Episode 18 - Partha Talukdar
Episode 17 - Yann Lecun
Episode 16 - Trae Stephens and Brian Schimpf
Episode 15 - Ken Church
Episode 14 - Sergey Levine
Episode 13 - Pieter Abbeel
Episode 12 - Samy Bengio and Yoshua Bengio
Rich Sutton Edit V5-Norm 01-01
Episode 10 - Pedro Domingos
Episode 9 - Liang Huang
Episode 8 - Bernhard Schölkopf & Matthias Bethge
Episode 7 - Ben Rosman
Episode 6 - Julian Togelius
Episode 5 - Miles Brundage
Episode 4 - Kaifu Lee
Episode 3 - Misha Bilenko
Create your
podcast in
minutes
It is Free
Insight Story: Tech Trends Unpacked
Zero-Shot
Fast Forward by Tomorrow Unlocked: Tech past, tech future
The Unbelivable Truth - Series 1 - 26 including specials and pilot
Lex Fridman Podcast