productivity
From the reading lists
- How to be more ambitious: A tutorial for humans with models
Claude engineer Felix Rieseberg says AI users should aim higher in altitude, depth, and range
- 🌲 Takeaways on efficiency, passive learning, & optimization
Konik's 4 productivity takeaways - efficiency is lazy, notes are for hard-to-find info, and learn passively before you need it
- A.I. Doesn't Have to Mean Layoffs
- How I Work
Dean W. Ball on his intellectual process - Using intellectual history and 'sample efficiency' to build specialized perspectives
- Thin Harness, Fat Skills
Garry Tan - AI productivity depends on 'thin harness, fat skills' architecture that separates deterministic tooling from markdown-based process encoding