The bitter lesson in 26 words:
Don’t be distracted by human knowledge, as AI has been historically.
Instead focus on methods for creating knowledge that scale with computation, like search and learning.
IMHO, this verbatim C-to-Rust translation is a mistake; it should be approached from the perspective of the program's topology, which, unfortunately, is often incomplete or even incorrect.
Follow-up on non-English token-inefficiency with more model-language pairs:
- Chinese is cheaper than English on major Chinese models
- Gemini and Qwen provide least non-English tax
- Anthropic has the highest tax by far; Kimi is next
- Hindi is the worst-covered language here, despite its massive speaker base
Dario is wrong.
He knows absolutely nothing about the effects of technological revolutions on the labor market.
Don't listen to him, Sam, Yoshua, Geoff, or me on this topic.
Listen to economists who have spent their career studying this, like @Ph_Aghion , @erikbryn , @DAcemogluMIT , @amcafee , @davidautor
For currying, there is no need using a number; for functional, there is no need using a function. Currying(with only one variable) is equal to Functional.