Brain Inspired

BI 159 Chris Summerfield: Natural General Intelligence

Jan 26, 2023

01:28:53

Creator website

Highlights

AI Chapters

Episode notes

Learning the Concept of Three in a Neural Network

04:24

Are We Smart Enough to Know How Smart Animals Are?

02:06

Retort Learning

02:34

Introduction

3min

Is the Book Out of Date?

3min

What's the Biggest Change in GPT 3?

2min

Is There a Difference Between Artificial Intelligence and Neuronal AI?

6min

LSTMs in Machine Learning and Artificial Intelligence

4min

Is There a Stunned Divide in Machine Learning?

3min

Machine Learning and the Inductive Bias, Right?

5min

How to Build an Artificial General Intelligence (AGI)?

2min

A New Paradigm for Deep Learning

4min

10.

Are We Smart Enough to Know How Smart Animals Are?

2min

11.

The Concept of Intelligence in the Human Brain

3min

12.

Is There a Caveat When Defining Intelligence?

2min

13.

The Current State of Reinforcement Learning Models

5min

14.

Retort Learning

3min

15.

Controlling the Agent's Behavior With Extrinsic Rewards

2min

16.

The Reward Is Enough Hypothesis

4min

17.

Is It an Algorithm?

5min

18.

Reward Reinforcement Learning (RL)

5min

19.

What Do People Really Want?

2min

20.

Are You Pushing Us a Little Too Far?

3min

21.

RL Is Enough, Claim Is Not Enough

4min

22.

Is It Related to Inverse Reinforcement Learning?

4min

23.

Are Transformers Getting Further Away From Our Brains?

2min

24.

Is There a Transformer in a Sequence?

3min

25.

Learning the Concept of Three in a Neural Network

4min

26.

Time and Space in a Sentence

2min

27.

Is There a Transformer in AI Research?

2min

28.

You're Hearing Music by the New Year

2min

Support the show to get full episodes, full archive, and join the Discord community.

Check out my free video series about what's missing in AI and Neuroscience

Chris Summerfield runs the Human Information Processing Lab at University of Oxford, and he's a research scientist at Deepmind. You may remember him from episode 95 with Sam Gershman, when we discussed ideas around the usefulness of neuroscience and psychology for AI. Since then, Chris has released his book, Natural General Intelligence: How understanding the brain can help us build AI. In the book, Chris makes the case that inspiration and communication between the cognitive sciences and AI is hindered by the different languages each field speaks. But in reality, there has always been and still is a lot of overlap and convergence about ideas of computation and intelligence, and he illustrates this using tons of historical and modern examples.

Human Information Processing Lab.
Twitter: @summerfieldlab.
Book: Natural General Intelligence: How understanding the brain can help us build AI.
Other books mentioned:
- Are We Smart Enough to Know How Smart Animals Are? by Frans de Waal
- The Mind is Flat by Nick Chater.

0:00 - Intro 2:20 - Natural General Intelligence 8:05 - AI and Neuro interaction 21:42 - How to build AI 25:54 - Umwelts and affordances 32:07 - Different kind of intelligence 39:16 - Ecological validity and AI 48:30 - Is reward enough? 1:05:14 - Beyond brains 1:15:10 - Large language models and brains