

Four: Rohin Shah on DeepMind and trying to fairly hear out both AI doomers and doubters
16 snips Sep 2, 2023
Rohin Shah, a machine learning researcher at DeepMind, discusses the challenges and risks of AI development, including misalignment and goal-directed AI systems. The podcast explores different approaches to AI research, the potential impact of AI on society, and the ongoing debate over slowing down AI progress. They also touch on the importance of public discussion, weaknesses in arguments about AI risks, and the concept of demigods in a highly intelligent future. The chapter concludes with a discussion on alternative work and puzzle design.
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
Introduction
00:00 • 2min
Rowin Shaw's Background and Work at DeepMind
02:19 • 9min
Amazement at GPT's Capabilities and Its Ability to Predict Monte Carlo Simulations
11:14 • 2min
Analyzing Uncertainty of Machine Learning Models
12:55 • 22min
Empirical Evidence vs. Theoretical Arguments
35:03 • 5min
The Challenges and Risks of AI
40:09 • 19min
Exam guessing and the rationality of physicians
59:25 • 2min
Humans, AI, and Coordination
01:01:02 • 15min
Implications and Challenges of Building Safe AI Agents
01:16:07 • 12min
The Terrifying Potential Future of Demigods
01:27:56 • 5min
The Debate over Slowing Down AI Progress
01:33:25 • 18min
Impact of AI on Society: Public Discussion and Challenges
01:51:02 • 4min
Weaknesses in Arguments about the Risks of Artificial Intelligence
01:54:53 • 19min
Analogies in AI Communication
02:13:38 • 4min
Developing Prompts for GPT and Reinforcement Learning from Human Feedback
02:17:39 • 8min
Mechanistic Interpretability at DeepMind
02:25:57 • 16min
Organizations, Research Approaches, and Anomaly Detection
02:41:38 • 4min
Investigating Barriers and Constraints on AI
02:45:14 • 16min
Approaches to AI Research and Potential Impact
03:01:12 • 4min
Exploring Alternative Work and Interest in Puzzle Design
03:05:10 • 2min
Notices about joining the podcast advisory group and one-on-one career advising
03:06:47 • 3min