Eye On A.I.22 Jun 2023

#126 Noam Chomsky: Decoding the Human Mind & Neural Nets

Welcome to episode #126 of Eye on AI with Craig Smith and Noam Chomsky.

Are neural nets the key to understanding the human brain and language acquisition? In this conversation with renowned linguist and cognitive scientist Noam Chomsky, we delve into the limitations of large language models and the ongoing quest to uncover the mysteries of the human mind.

Together, we explore the historical development of research in this field, from Minsky's thesis to Jeff Hinton's goals for understanding the brain. We also discuss the potential harms and benefits of large language models, comparing them to the internal combustion engine and its differences from a gazelle running. We tackle the difficult task of studying the neurophysiology of human cognition and the ethical implications of invasive experiments.

As we consider language as a natural object, we discuss the works of notable figures such as Albert Einstein, Galileo, Leibniz, and Turing, and the similarities between language and biology.

We even entertain the possibility of extraterrestrial language and communication. Join us on this thought-provoking journey as we explore the intricacies of language, the brain, and our place in the cosmos.

(00:00) Preview

(00:43) Introduction

(01:54) Noam Chomsky's neural net ideology & criticisms

(6:58) Jeff Hinton & Noam Chomsky's: How the brain works

(10:05) Correlation between neural nets and the brain

(11:11) Noam Chomsky's reaction to Chat-GPT & LLMs

(15:21) Exploring the mechanisms of the brain

(19:00) What do we learn from chatbots?

(22:30) What are impossible languages?

(26:45) Generative AI doesn't show true intelligence?

(28:40) Is there a danger of AI becoming too intelligent?

(31:30) Can AI language models become sentient?

(36:40) Turing machine and neural nets experimentations

(42:40) Non-evasive procedures for understanding the brain

(45:54) Does Noam Chomsky still work on understanding the brain?

(49:33) Is Noam Chomsky excited about the future of neural nets?

(55:30) Albert Einstein and Galileo's principles

(55:40) Is there an extraterrestrial language model?

Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(353)

Every Enterprise Is About to Have a 100,000 Agent Problem | Oren Michaels of Barndoor AI

AI agents can now connect to every tool your employees use. The problem is that connecting them and trusting them are two completely different things, and most enterprises have figured out the first w...

6 Jun 59min

More Customers Chose the AI Agent Than Anyone Expected | Tom Chen, Aircall

Every time you hit a phone tree or a chatbot with canned answers, you're experiencing the gap between what AI can already do and what most companies are still delivering. Craig Smith sits down with To...

4 Jun 56min

Why the Future of AI Isn't Just Bigger Models. It's Models That Evolve | Risto Miikkulainen of Cognizant

Most AI systems follow a gradient, a mathematical slope that tells them exactly how to improve, step by step, toward a known goal. Neuroevolution doesn't follow any gradient. Instead, it runs hundreds...

2 Jun 1h 4min

How AI Is Reinventing Elder Care | Chia-Lin Simmons of LogicMark

One in four people over 65 will experience a fall, and for most of them, the technology designed to help is a device that hasn't meaningfully changed since the 1980s. Chia-Lin Simmons, CEO of LogicMar...

1 Jun 53min

The App of the Future Is Voice — Not a Screen. Mitel's CTO Luiz Domingos Explains Why.

Luiz Domingos has spent 25 years watching enterprise communications evolve, from IP telephony to cloud to AI, and his assessment of where things stand now is unusually concrete. Companies have moved p...

28 Mai 54min

Is ChatGPT Conscious? A Pioneer of AI Explains | Dr. Terry Sejnowski

A fly with 100,000 neurons can fly, find food, and reproduce. A $100 million supercomputer cannot. Dr. Terry Sejnowski used that observation to silence a room full of MIT AI researchers in the 1980s, ...

28 Mai 56min

Your Child's Data Profile Starts Before They're Born | Eamonn Maguire of Proton

Your child's data profile doesn't start when they get their first phone. It starts before they're born, the moment a parent emails a gynecologist or visits a fertility clinic website. That's the core ...

28 Mai 55min

Training AI Models Without a Billion-Dollar Data Center | Steffen Cruz of Macrocosmos

Training a frontier AI model today requires hundreds of thousands of GPUs, months of compute time, and a budget that only a handful of companies on earth can afford. Steffen Cruz, co-founder and CTO o...

25 Mai 47min