Manifold

AI Cambrian Explosion: Conversation With Three AI Engineers — #37

Jun 8, 2023
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Episode notes
1
Introduction
00:00 • 3min
2
The Future of AI
02:56 • 3min
3
The Future of Open Source Computing
06:13 • 4min
4
How to Compete With Open Source Models
09:57 • 3min
5
The Importance of Quantization in Machine Learning
12:36 • 4min
6
The Future of LLMs
16:50 • 2min
7
The Future of Cloud Computing
19:03 • 2min
8
Google's Challenge to the Search Business Model
21:12 • 2min
9
How to Be a Good Personal Assistant for Ryan
23:32 • 3min
10
The Future of Artificial Intelligence
26:33 • 1min
11
Modularization of AGI
27:52 • 3min
12
The Importance of LLMs
30:35 • 2min
13
The Impact of AI on Human Decision Making
32:55 • 2min
14
The Impact of Open Source Models on AI
35:21 • 2min
15
How to Be a Successful Tech Recruiter
37:41 • 2min
16
The Importance of Understanding the Pros and Cons of Linear Algebra
39:50 • 2min
17
The Future of AI
42:06 • 3min
18
The Future of AI
44:51 • 2min
19
The Risk of AI Desert AI
47:11 • 2min
20
The Probability of a Nuclear Bomb
49:34 • 2min
21
Is It Too Early to Be Thinking About Alignment?
51:53 • 2min
22
How to Align With Your Teenager
54:07 • 2min
23
The Power of Neural Networks
55:59 • 2min
24
The Decreased Returns of Machine Intelligence
58:15 • 2min
25
The Doomsday Scenarios
01:00:42 • 2min
26
The Probability of a Single Super Intelligent AI Goes Rogue
01:02:42 • 2min