Such excellent writing. I also read the linked post from 2018 near the bottom. When every other thing you see on here is Claude-inflected if not Claude-written, encountering a blog like this is an occasion to cherish.
>If the models are good enough, you will simply get outcompeted by engineers willing to trade their long-term cognitive ability for a short-term lucrative career
> (2) AI-users thus become less effective engineers over time, as their technical skills atrophy
Wouldn't (2) imply that if everyone just used AI there eventually would come a time when there aren't engineers who will outcompete you (because their skills are so atrophied)?
Interesting, enjoyable post. Like the bit about data modeling. I've been dabbling in some OCaml and that kind of modeling is the best part. Also interesting to learn of CAMLBOY. Feedback to the author: Skip the AI edit step. I'd have preferred grammar errors or inelegance to what we have here, which is a bit stale.
It seems like the Incans were overconfident and didn't expect a surprise attack (didn't have their weapons, only a small retinue around the rule in ceremonial garb instead of armor), and then the 8000 warriors were outside and didn't even attempt to fight the Spaniards because they were so demoralized.
This incident was from 2014. I wonder how many OKCupid employees and shareholders from then are still at/invested in the company. What do corporate punishments do if the people who made the mistake aren't even there to receive them?
There's probably tons of stuff people use that is way slower than it needs to be but speed isn't one of their self-reported burning problems because they don't even realize it could be faster. pip vs uv?
They’re using big things to do experiments. Maybe they discover some new physical effect. How do you know that that effect couldn’t be demonstrated in some smaller scale experiment after it’s understood better?