How Human Brains and AI Are Similar, and Totally Different

How similar are human brains and large language models, really?

In this Data Malarkey Insight, Professor of Cognitive Neuroscience Chris Summerfield breaks down one of the biggest questions in AI right now: where do human minds and modern neural networks genuinely overlap, and where do the comparisons start to fall apart?

Chris explores the structural similarities between brains and artificial neural networks, the important ways they behave differently, and why today’s language models can produce remarkably structured reasoning without actually having goals, motivations, or a plan for the day.

In this insight, you’ll hear:

Why both brains and AI systems can be described as neural networks
How the structure of the brain differs from transformer-based models
Why both humans and LLMs can show highly structured reasoning
Why the brain’s recurrent dynamics make it fundamentally different
Why current language models do not have goals, motivations, or intrinsic plans

Watch the full podcast episode to hear the complete conversation and more insights from Chris Summerfield.

Видео How Human Brains and AI Are Similar, and Totally Different канала Data Malarkey