Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14
Introduction
00:00 • 5min
The Scale Hypothesis and Deep Learning
05:16 • 2min
The Low Hanging Fruit of Big Data Experiments
07:00 • 3min
The Natural Cycle of Exploration of Ideas by Industry
10:00 • 5min
The Ethics of AI Research
14:42 • 2min
How to Train Text Generation Methods on Chuck Tingle
17:00 • 2min
The Pessimistic Tone of Resistance Strategies
18:45 • 2min
The Future of Open Source AI
20:20 • 2min
Model AI: A Startup on a Growth Curve
22:47 • 4min
The Future of Reinforcement Learning
26:55 • 2min
The Importance of Video Pre-Training in Deep RL
29:16 • 2min
RL and Procedural Content Generation
31:12 • 4min
The Path of Distruction for Level Design
35:09 • 2min
The Future of Reinforcement Learning
37:39 • 2min