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Welcome to episode 150 of the ‘Eye on AI’ podcast. In this episode, host Craig Smith sits down with Yann LeCun, a Turing Award winner who has been instrumental in advancing convolutional neural networks and whose work spans machine learning, computer vision, and more.

Tune is as Craig and Yann explore the intricacies of AI, world models, and the challenges of continuous learning.

In this episode, Yann delves deep into the concept of a "world model" systems that can predict the world's future states, allowing agents to make informed decisions. The discussion transitions to the challenges of training these models, particularly when dealing with diverse data like text and images. We then discuss the computational demands of modern AI models, with Yann highlighting the nuances between generative models for videos and language.

He also touches upon the idea of the "Embodied Turing Tests" and how augmented language models can bridge the gap between humanlike behavior and computational efficiency.The spotlight then shifts to pressing concerns surrounding the opensource nature of AI models, with Yann articulating the legal ramifications and the future of opensource AI. Drawing from global perspectives, including China's stance on opensource, Yann underscores the imperative for a collaborative approach in the AI space, ensuring it's reflective of diverse global needs.


Craig Smith Twitter:   / craigss  

Eye on A.I. Twitter:   / eyeon_ai  


00:00 Preview, Oracle and Introduction
02:42 Decoding The World Model and Gaia 1
07:43 Energy and Computational Demands of AI
08:06 Video vs. Text Processing & True AI Capabilities
11:17 Embodied Turing Test & Augmented LLMs
15:38 Is AI a Threat To Society?
25:04 Where is AI Development Headed?
31:06 Interplay of Neuroscience and AI
33:33 Yann's Vision, JEPA, and Learning Challenges
39:05 Yann's Career, AI Progress, and Challenges
44:47 The Open Source Debate in AI
55:30 Oracle Cloud Infrastructure