

Four: Brian Christian on artificial intelligence
Oct 3, 2021
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67
Introduction
00:00 • 2min
The Alliment Problem
01:42 • 2min
Ai Safety and Machine Learning Ethics - A Review
03:36 • 4min
Is the Future Going to Be Good?
07:14 • 2min
GPT
09:21 • 2min
Using a G I in the Cloud?
11:06 • 4min
Is Linearity in the Output a Problem?
14:44 • 2min
How to Train a Neural Network?
16:39 • 5min
How Can You Learn From Your Own Estimate?
21:22 • 2min
Dopomen Nurons
23:43 • 4min
How Can Reinforcement Learning Go Off the Rails?
27:43 • 2min
Reward Actions, Not Actions of the Agent
29:38 • 2min
Are Human Questions First?
31:50 • 2min
The Problem of Sparse Rewards
33:25 • 4min
Tree Senility
36:56 • 2min
Resonance Learning in the Real World
38:52 • 2min
How to Get Intelligent Behavior From a Eyes That Lack Curiousness
40:48 • 3min
How Do You Overcome This Problem of Sparsity?
43:36 • 2min
Can It Get Into a TV Screenana Game?
45:32 • 3min
The Effect of TV on the Visual System
48:34 • 2min
The Human Brain Is Like That, Right?
51:01 • 3min
A Novelty Seeking Agent - What Happens When You Play a Computer Game?
54:27 • 2min
Is It Possible to Create a Knowledge-Seeking Agent?
56:01 • 3min
Is It Safe to Build a Super Intelligent Knowledge Finder?
58:35 • 2min
Do What I Do
01:00:14 • 2min
Do You Know How to Model a Car?
01:01:50 • 2min
How to Automatically Identify Bad Drivers?
01:03:46 • 3min
Data Set Aggregation
01:06:33 • 3min
Imitation Is a Faily Mode of Imitation
01:09:07 • 4min
The Secret of Our Success
01:12:40 • 3min
Alpago Zero and Its Neural Networks
01:15:24 • 3min
Can You Guess What You're Going to Do?
01:18:40 • 3min
Learning by Imitating
01:21:32 • 2min
How to Do Things That We Can't Do, Right?
01:23:25 • 6min
Is It Possible to Teach Using This Method?
01:29:09 • 2min
How to Optimize Notification Delivery for a User Engagement Model?
01:30:44 • 2min
I Don't Want to Drink Alcohol
01:32:20 • 3min
Is There a Reward Function?
01:35:05 • 2min
How to Deactivate Part of the Network With Every Training Example
01:36:46 • 3min
Why Is It So Important to Have Ai Driven Cars?
01:39:54 • 3min
Is There a Risk of Uncertainty in Machine Decision Making?
01:43:06 • 3min
Is the Auto Pilot Mistaken?
01:46:02 • 2min
Is There a Difference Between Human Behavior and Human Irrationality?
01:47:45 • 3min
Ai Safety Grid Worlds
01:50:34 • 2min
Is There a Future for I Safety?
01:53:04 • 3min
Safety Research
01:56:32 • 4min
Are We Learning Something Important About Intelligence and What Humans Are Doing?
02:00:09 • 5min
Is It Possible to Flash That Out?
02:04:57 • 2min
Climate Change Is More Analogous Than the Same
02:07:24 • 3min
The Next Frontier in Social Choice Theory
02:10:09 • 3min
Is There a Stop on the Way Between Deception and Deception?
02:12:50 • 2min
Is There a Future for Transparency?
02:15:05 • 4min
A Good Black Mirror Episode, I Gess
02:18:37 • 3min
Yeye Daria on the Grando Ye, Episode Toooye Aan
02:21:13 • 2min
The Longton Future - Is There a Problem?
02:22:44 • 4min
I Think It's a Mistake to Go Down This Path.
02:26:54 • 2min
I Don't Think It's Going to Happen Any Time Soon
02:28:30 • 4min
Is There an Escapeye?
02:32:21 • 2min
How to Learn a Game Engine From Data?
02:34:05 • 2min
Is There Any Errors in the Book?
02:35:40 • 3min
Are There Any Important Challenges That You Can Contribute To?
02:38:19 • 3min
Machine Learning and Artificial Intelligence
02:41:00 • 2min
How to Solve a Reinforcement Learning Problem?
02:42:59 • 3min
The Deep Cued Networks Part of Machine Learning
02:46:17 • 2min
Effective Altruism and Ai Safety
02:47:58 • 2min
Is There a Path Dependent to Capital Constraints in Hedge Funds?
02:49:50 • 3min
The 80 Thousand Hours Podcast - Episodes 40 and 47
02:52:42 • 2min