LLMs are exhibiting emergent behaviors at scale (for e.g. see @_jasonwei's https://t.co/vqdcXuWU6o)
In this context, revisiting books on emergence of social, economic & biological phenomena
Complexity science may have a resurgence
Chordodes formosanus is a horsehair worm that has the praying mantis as its definitive host. They can grow up to 90 cm long and can be extremely dangerous for their host
[read more: https://t.co/u9UAcBUtzr]
[source: https://t.co/mQlzVuIvrA]
https://t.co/FU0fMsIk85
never rebase a public branch
rebase personal branches to catch up
turn on rerere.enabled to remember conflict fixes
require linear history, disallow merge commits on GitHub
squash and merge
prefer trunk based development (https://t.co/wHMyht9RzP)
now you know how to git
The single most undervalued fact of linear algebra: matrices are graphs, and graphs are matrices.
Encoding matrices as graphs is a cheat code, making complex behavior simple to study.
Let me show you how!
Common software dev mistakes are at the extremes:
1. Under-engineering
2. Over-engineering
Under-engineering:
No CI
No reviews
Weak types
Hard coding
Tight coupling
Manual deploys
Frequent copy/paste
Insufficient flexibility
No automated checks
No validation/error checks
1/2👇
A most surprising & little-known results in statistics is that the mean (μ) and median (m) are within a std deviation (σ)
|μ−m| ≤ σ
for unimodal densities bound is even tighter
|μ−m| ≤ 0.7756 σ
This beautiful results first appeared in a 1932 paper by Hotelling & Solomons