#963
Mentioned in 12 episodes
The bitter lesson
Book • 1973
This publication by the National Union of Teachers focuses on the issues of teacher turnover and the effects of the London Allowance.
It presents a sample survey and analysis aimed at understanding the factors influencing teacher retention and the financial incentives provided by the London Allowance.
It presents a sample survey and analysis aimed at understanding the factors influencing teacher retention and the financial incentives provided by the London Allowance.
Mentioned by
Mentioned in 12 episodes
Mentioned by 
Chamath Palihapitiya and explained as advocating for general learning approaches in AI.
Chamath Palihapitiya and explained as advocating for general learning approaches in AI.
2,429 snips
Grok 4 Wows, The Bitter Lesson, Elon’s Third Party, AI Browsers, SCOTUS backs POTUS on RIFs
Mentioned by 
Ken Goldberg as the author of "The Bitter Lesson", highlighting his argument that data-driven approaches outperform rule-based methods in AI.
Ken Goldberg as the author of "The Bitter Lesson", highlighting his argument that data-driven approaches outperform rule-based methods in AI.
65 snips
154. Can Robots Get a Grip?
Mentioned by 
Nathan Lambert as the author of "The Bitter Lesson", highlighting his essay on verification in AI.
Nathan Lambert as the author of "The Bitter Lesson", highlighting his essay on verification in AI.
36 snips
RL backlog: OpenAI's many RLs, clarifying distillation, and latent reasoning
Mentioned by Tim Scarfe in relation to self-supervised learning and human knowledge in machine learning systems.
21 snips
#55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).
Mentioned by 
Eric Olson when describing that the measure of intelligence is the efficiency by which you process information and apply it in different domains.
Eric Olson when describing that the measure of intelligence is the efficiency by which you process information and apply it in different domains.
15 snips
Grok 4 Launch Breakdown, OpenAI to Release Web Browser | Chris Paik, Will Bruey, Joel Becker, Dylan Parker, Eric Olson, Ghita Houir Alami, Elliot Hershberg, Karim Atiyeh
Referenced by Dan Shiebler as a description of how certain AI tricks are outperformed by systems that improve with scale.
Understanding the limitations of AI is crucial for enterprise success
