BI 159 Chris Summerfield: Natural General Intelligence

1

Introduction

00:00 • 3min

2

Is the Book Out of Date?

03:17 • 3min

3

What's the Biggest Change in GPT 3?

06:01 • 2min

4

Is There a Difference Between Artificial Intelligence and Neuronal AI?

07:43 • 6min

5

LSTMs in Machine Learning and Artificial Intelligence

13:27 • 4min

6

Is There a Stunned Divide in Machine Learning?

17:21 • 3min

7

Machine Learning and the Inductive Bias, Right?

20:49 • 5min

8

How to Build an Artificial General Intelligence (AGI)?

25:55 • 2min

9

A New Paradigm for Deep Learning

28:11 • 4min

10

Are We Smart Enough to Know How Smart Animals Are?

32:08 • 2min

11

The Concept of Intelligence in the Human Brain

34:15 • 3min

12

Is There a Caveat When Defining Intelligence?

37:31 • 2min

13

The Current State of Reinforcement Learning Models

39:17 • 5min

14

Retort Learning

44:13 • 3min

15

Controlling the Agent's Behavior With Extrinsic Rewards

46:47 • 2min

16

The Reward Is Enough Hypothesis

48:31 • 4min

17

Is It an Algorithm?

52:52 • 5min

18

Reward Reinforcement Learning (RL)

57:50 • 5min

19

What Do People Really Want?

01:03:02 • 2min

20

Are You Pushing Us a Little Too Far?

01:04:56 • 3min

21

RL Is Enough, Claim Is Not Enough

01:07:39 • 4min

22

Is It Related to Inverse Reinforcement Learning?

01:11:37 • 4min

23

Are Transformers Getting Further Away From Our Brains?

01:15:11 • 2min

24

Is There a Transformer in a Sequence?

01:16:51 • 3min

25

Learning the Concept of Three in a Neural Network

01:19:24 • 4min

26

Time and Space in a Sentence

01:23:48 • 2min

27

Is There a Transformer in AI Research?

01:25:25 • 2min

28

You're Hearing Music by the New Year

01:27:06 • 2min