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
Introduction
00:00 • 2min
Elixir Programming: How Sean Moriarty Got Started
01:39 • 3min
The Transition to Machine Learning
04:11 • 3min
The Evolution of Portfolio Optimization
06:45 • 2min
How Jose and I Worked on a Book With a Functional Language
08:47 • 2min
How xLA and TensorFlow Worked Together
11:16 • 2min
Machine Learning and the Axon Layer
13:30 • 4min
Axon: A Functional Language With Elixir
17:28 • 2min
The Early Work on an X and Axon
19:00 • 2min
Elixir and Machine Learning: The Future of Machine Learning
21:00 • 3min
The Path to Enticement
23:57 • 2min
Machine Learning in Elixir
25:38 • 2min
The Benefits of Using Elixir to Build a Machine Learning Application
27:21 • 2min
The Open Source Ecosystem for Machine Learning
29:38 • 3min
The Future of Elixir
32:22 • 2min
The Future of Chat GPT
34:07 • 2min
The Importance of Machine Learning in the Cloud
36:19 • 2min
The Importance of Alignment in AI
38:06 • 2min
How to Write a Language
40:34 • 2min
The Hard Thing About Teaching Hard Things
42:38 • 2min
The Curse of Knowledge
44:41 • 2min
The Power of Empathy in the Elixir Community
46:30 • 3min