

Ep 58: Sam Bowman on ChatGPT & Controlling AI
6 snips Mar 23, 2023
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
Introducing Natural Language Processing (GPT) Expert Sam Bowman
01:38 • 3min
Can Artificial Neural Networks Do Anything at All?
04:35 • 2min
What Was the Turning Point in NLP?
06:41 • 4min
Using GPUs to Train Neural Networks
10:24 • 2min
Is There a Sense of Cleverness in the Formulation?
12:53 • 5min
What Is a Large Language Model and How Does It Work?
18:02 • 5min
JADGPT - You Can Use This Auto-Complete Task to Predict
23:09 • 1min
Is That Mouse a Cookie Story?
24:34 • 5min
Are the Foundations Strong Enough to Build More General Purpose Intelligence?
29:28 • 5min
The Limitations of a Transformer
34:47 • 3min
What Are the Potential Harms of AI?
37:45 • 4min
Is OpenAI Really Getting Better?
41:58 • 3min
Alignment Problems
44:54 • 4min
Scalable Oversight of AI Systems
48:41 • 3min
What Skill Oversight Can Look Like in the Real World
51:47 • 4min
Is There a Use Case for Language Models?
56:14 • 2min
Using Models to Oversee Models
58:38 • 4min
The Results of the JatchPT Modeling Experiment
01:02:23 • 2min
Are There Some Guardrails That We Should Be Thinking About?
01:04:42 • 5min
What's Next for GPD3?
01:09:34 • 3min