From Bits to Brains: How AI Sees, Talks, and Learns
3 Takeaways™
How does AI go from predicting the next word to powering robots that navigate the real world?
Sanjeev Arora, Princeton computer science professor, explains how today's models learn, adapt, and even teach themselves. From chatbots to multimodal machines that process text, images, and video, you'll learn how it all works—and where it's headed next.
This conversation will change how you think about intelligence, language, and the future of AI.
Raw Description
<p>How does AI go from predicting the next word to powering robots that navigate the real world?</p><p>Princeton computer science professor Sanjeev Arora explains how today’s models learn, adapt, and even teach themselves.From chatbots to multimodal machines that process text, images, and video, you’ll learn how it all works—and where it’s headed next.</p><p>This conversation will change how you think about intelligence, language, and the future of AI.<br/><br/></p>
Show Notes
How does AI go from predicting the next word to powering robots that navigate the real world?
Sanjeev Arora, Princeton computer science professor, explains how today's models learn, adapt, and even teach themselves. From chatbots to multimodal machines that process text, images, and video, you'll learn how it all works—and where it's headed next.
This conversation will change how you think about intelligence, language, and the future of AI.
Raw Description
<p>How does AI go from predicting the next word to powering robots that navigate the real world?</p><p>Princeton computer science professor Sanjeev Arora explains how today’s models learn, adapt, and even teach themselves.From chatbots to multimodal machines that process text, images, and video, you’ll learn how it all works—and where it’s headed next.</p><p>This conversation will change how you think about intelligence, language, and the future of AI.<br/><br/></p>