Reflections on AI
I'm documenting my experiences learning about AI, covering the subject as comprehensively as possible. So far, I've been reading papers, listening to interviews, and writing summaries, both to reinforce my own learning and to share. Over time I intend to shift my focus to balance continuing to learn and offering my own thoughts, proposing ideas, and hopefully contributing to practical solutions however I can.
I am keeping track of books, papers, articles, interviews, and other things I discover as I go here.
Thoughts
Explaining AI Terms the Feynman Way, Part 1 | Apr 24, 2023 |
Three Approaches to AI Safety | Apr 17, 2023 |
Summaries
Superintelligence | May 7, 2024 |
Supervised Machine Learning: Regression and Classification | Sep 13, 2023 |
Attention is All You Need | May 27, 2023 |
Moore's Law for Everything | May 23, 2023 |
AGI Ruin | May 21, 2023 |
FLI interview with Connor Leahy | May 6, 2023 |
Bankless Interview with Paul Christiano | May 2, 2023 |
AI Alignment Is Turning from Alchemy Into Chemistry | May 1, 2023 |
Lex Fridman interview with Yann LeCun | Apr 30, 2023 |
The Basic AI Drives | Apr 29, 2023 |
The Superintelligent Will | Apr 29, 2023 |
Lex Fridman interview with Max Tegmark | Apr 20, 2023 |
On AutoGPT | Apr 16, 2023 |
Ezra Klein interview with Sam Altman | Apr 15, 2023 |
Eight Things to Know about Large Language Models | Apr 12, 2023 |
Our approach to AI safety | Apr 7, 2023 |
Lex Fridman interview with Eliezer Yudkowsky | Apr 5, 2023 |
Lex Fridman interview with Sam Altman | Mar 29, 2023 |
Kara Swisher interview with Sam Altman | Mar 27, 2023 |