doctorM

6 ms·

1.
by doctorM 2y ago
Reading this I realised I've kind of drifted away from the idea of refactoring for the point of it. The example with the for-loop vs. map/filter in particular - it's such a micro-function that whichever the original author ch
2.
by doctorM 3y ago
I'm a bit sceptical of the exponentially harder debugging claim. First it looks polynomially harder for the given example :p. Second other engineering domains arguably have additional dimensions which correspond to the machine learning
3.
by doctorM 3y ago
For reference I think this probably partly explains my reluctance to use A.I. to help me code. If I ask e.g. ChatGPT to just code something for me then the code it outputs is a black box, and there is no 'theory usage' in the parl
4.
by doctorM 3y ago
Headline reminds me of the recent crypto booms...
5.
by doctorM 3y ago
i think this is actively dangerous. well not yet. but getting there. i know - ai isn't meant to be sentient. but if it looks like a duck and quacks like a duck... how do i know that the comments here aren't done by dedicated hacke
6.
by doctorM 3y ago
This seems particularly relevant: https://www.fastcompany.com/90965361/why-did-the-metaverse-d... (Discussion: https://news.ycombinator.com/item?id=38110059 )
7.
by doctorM 3y ago
This is nonsense. The demand curve as a concept only deals with singular prices, and the slope of it is particular to a particular product. The Pareto principle (80% of good thing x comes from 20% of input y) is over-used everywhere, this i
8.
by doctorM 4y ago
One might say that sites like reddit and hacker news are just archaic versions of the same recommendation engine, but the friction is actually an important feature, and keeps the experience from devolving into lowest common denominator cli