Gradient Dissent: Conversations on AI

Sarah Catanzaro — Remembering the Lessons of the Last AI Renaissance

Feb 2, 2023
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1
Introduction
00:00 • 2min
2
I'm a Big Fan of Large Language Models and Stable Diffusion
02:07 • 5min
3
Renway: A Perfect Example of Higher-Level Interfaces Off of ML Technology
07:06 • 2min
4
Is the AI Listening to Songs?
08:53 • 3min
5
How to Build Technical Understanding Without Using It
11:47 • 4min
6
Is It Possible to Maintain a Much Greater Level of Technical Depth Than the Average Investor?
15:36 • 3min
7
Would You Be More Impressed With a Data ML Company?
18:35 • 4min
8
Is It a Rational Bias?
22:43 • 2min
9
ML Ops Tools - Is the Data Stack Consolidating?
25:08 • 2min
10
Is There a Consolidation of Developer Tools?
27:38 • 4min
11
Is There a Moment of Bundling in ML Development?
31:37 • 3min
12
Building ML Tools Is Really Challenged Right Now
34:19 • 2min
13
Are LLMs a New Set of Tools Needed?
36:27 • 2min
14
Is Structured Data Going Anywhere?
38:28 • 3min
15
Is There a Commoditization of ML and Data?
41:01 • 4min
16
Is NML Failing Fast Really Critical?
44:40 • 4min
17
Cloud Vendors Need to Compete on Developer Experiences
48:34 • 3min
18
Cloud Vendors Crush Potential Competitors With Their Dollars
51:18 • 4min
19
Is There a Lot of Upside to the Research?
55:22 • 3min
20
Machine Learning and Interview Study, Shreya Shankar
58:05 • 2min
21
Is Machine Learning the Best Tool to Solve Problems?
01:00:01 • 3min
22
Fimo Rust Developers - What's Driving the Interest?
01:03:14 • 4min
23
The Biggest Bottlenecks in ML Development Today
01:07:04 • 4min
24
Is Stable Diffusion a Good Idea?
01:11:24 • 5min