

#2036
Mentioned in 13 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 13 episodes
Mentioned by 

and explained as advocating for general learning approaches in AI.


Chamath Palihapitiya

2,693 snips
Grok 4 Wows, The Bitter Lesson, Elon’s Third Party, AI Browsers, SCOTUS backs POTUS on RIFs
Mentioned by ![undefined]()

in the context of DeepSeek's efficiency and implications for hardware.

Jeremie Harris

403 snips
#198 - DeepSeek R1 & Janus, Qwen2.5, OpenAI Agents
Recommended by 

as a short, insightful read on AI and reinforcement learning.


Anish Agarwal

128 snips
From DevOps ‘Heart Attacks’ to AI-Powered Diagnostics With Traversal’s AI Agents
Mentioned by 

when discussing Rich Sutton's perspective on AI development.


Anjney Midha

102 snips
Tesla's Road Ahead: The Bitter Lesson in Robotics
Mentioned by 

when discussing Tesla's approach to self-driving technology.


Andrew Sharp

99 snips
AI’s Uneven Arrival, TikTok’s Potential Departure, Xiaohongshu and the Delights of Cultural Exchange
Mentioned by 

as the author of "The Bitter Lesson", highlighting his argument that data-driven approaches outperform rule-based methods in AI.


Ken Goldberg

65 snips
154. Can Robots Get a Grip?
Mentioned by 

as the author of "The Bitter Lesson", highlighting his essay on verification in AI.


Nathan Lambert

36 snips
RL backlog: OpenAI's many RLs, clarifying distillation, and latent reasoning
Mentioned by 

in relation to self-supervised learning and human knowledge in machine learning systems.


Tim Scarfe

21 snips
#55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).
Mencionado por ![undefined]()

ao discutir a importância do poder computacional e da escala no desenvolvimento de modelos de IA.

João Gabriel Oliveira

16 snips
166: Desenvolvendo o Gemini Diffusion, com João Oliveira, pesquisador da DeepMind
Mentioned by 

when describing that the measure of intelligence is the efficiency by which you process information and apply it in different domains.


Eric Olson

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
Impacted 

's views on AI application and agent development.


Diamond Bishop

AI build vs buy: How do you choose between custom tools vs vendors? | Diamond Bishop
Mentioned by 

when discussing the impact of AI on the crypto industry.


Haseeb Qureshi

The Chopping Block: Why AI Will Change the Course of History in Crypto - Ep. 471
Referenced by ![undefined]()

as a description of how certain AI tricks are outperformed by systems that improve with scale.

Dan Shiebler

Understanding the limitations of AI is crucial for enterprise success
Mentioned by 

himself when discussing the core concept of his work.


Rich Sutton

Welcome to the Era of Experience (The Derby Mill Series ep 10)
Mentioned by 

as the author of "The Bitter Lesson", a significant piece on AI research.


Leo Laporte

TWiG 801: Human Beans - Meta Stops Fact-Checking, Public Domain 2025