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
Introduction
00:00 • 5min
The Negative Effects of Elie's Posts on Optimism
04:49 • 2min
The Probability of Dying From AI Extinction
06:35 • 2min
The Doom of Open AI
08:29 • 2min
The Future of AI
10:29 • 2min
The Different Classes of Counter Arguments
12:43 • 2min
The Cost of a Gaming GPU
14:28 • 2min
How Much Compute Does the Human Brain Need?
16:28 • 5min
AGI's Best Guess: 10 to the 29 in 2025
21:25 • 2min
The Lifetime Anchor and the Evolution of Human Level Algorithms
23:48 • 2min
The Future of Timeline Prediction
25:31 • 3min
The Complications of Timelines
28:44 • 2min
The Dangers of Chatbot Technology
30:46 • 3min
The Slowdown of Progress
33:16 • 2min
The Future of Intelligence
35:28 • 4min
The Future of AI
39:00 • 2min
The Argument for Rapid Self Improvement in AI
40:51 • 2min
The Future of AI
42:22 • 3min
The Race to Build a Deep Mind Cluster
45:22 • 2min
The Pros and Cons of Open Source Research and Open Source Software
47:45 • 3min
The Importance of Sharing Models in AI
50:47 • 2min
The Concerns About Open Source Models
52:30 • 3min
How to Train a Language Model With a Limited Context Window
55:04 • 5min
How to Solve Alignment Problems With a Language Model
59:52 • 2min
The Luther Approach to Language Model Development
01:01:59 • 3min
How to Get Started With a No-to-Lingual Project
01:05:09 • 2min
The Importance of Alignment Mine Test Projects
01:07:38 • 4min
How to Train a Mind Tester to Punch Trees
01:11:39 • 4min
The Next Step in Model Based RL
01:15:26 • 2min
Building a Gym Environment for Agents
01:17:07 • 2min
Scaling Up a Neural Network to Improve Interpretability
01:19:21 • 2min
How to Make Models More Likely to Be Corrected by Humans
01:21:25 • 3min
The Off Switch Game
01:24:40 • 2min
How to Fix Failure Modes in a Minecraft Environment
01:27:02 • 3min