

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