From Bits to Brains: How AI Sees, Talks, and Learns (#260)
2025-07-29 · 19 min · episode 260 · 15 entities
Asserted relationships
-
0.55
evidence rules-v5
Feed author/publisher: Lynn Thoman
-
0.40
evidence rules-v5
Feed category: Society & Culture
-
0.40
evidence rules-v5
Feed category: Business
-
0.40
evidence rules-v5
Feed category: Education
-
0.40
evidence rules-v5
Feed category: Philosophy
-
0.40
evidence rules-v5
Feed category: Courses
-
0.40
evidence rules-v5
Feed category: Management
Entities found in this episode
concepts 5
-
0.50
evidence rules-v5
Feed category: Society & Culture
-
0.50
evidence rules-v5
Feed category: Education
-
0.42
evidence rules-v5
From Bits to Brains: How AI Sees, Talks, and Learns (#260)
-
0.40
evidence rules-v5
Feed category: Society & Culture
-
0.40
evidence rules-v5
Feed category: Education
companys 4
-
0.50
evidence rules-v5
Feed category: Business
-
0.50
evidence rules-v5
Feed category: Philosophy
-
0.40
evidence rules-v5
Feed category: Business
-
0.40
evidence rules-v5
Feed category: Philosophy
websites 4
-
0.50
evidence rules-v5
Feed category: Courses
-
0.50
evidence rules-v5
Feed category: Management
-
0.40
evidence rules-v5
Feed category: Courses
-
0.40
evidence rules-v5
Feed category: Management
persons 2
-
0.70
evidence rules-v5
Feed author/publisher: Lynn Thoman
-
0.55
evidence rules-v5
Feed author/publisher: Lynn Thoman
Episode description as stored
How does AI go from predicting the next word to powering robots that navigate the real world?
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.
This conversation will change how you think about intelligence, language, and the future of AI.