sprinkly-dust
Joined 2 years ago
Joined 2 years ago
The example they focus on is different but the general principles and takeaways are very powerful and applicable to all classification problems including content flagging.
I haven't put in enough effort to replicate the experience on GNOME but once I jump ship from Apple I'll have to.
The way macOS treats shortcuts thanks to the separation of Command and Control is great. It even makes Google Docs pretty painless to use because it's mostly like Emacs. Word still tries to hijack the shortcuts so that's suboptimal.
That's the thing, though. Most people alive today will never be able to possess such an object, no matter how prized and beloved it is. Still, if people want to be able to tell the time from their wrist in a reliable fashion, there are _plenty_ of far cheaper options available to them. The craftsmanship does have inherent value, yes. That does not mean the practical solution is worthless.
There can be practices incorporated in the production of software, involving AI use in a responsible fashion (difficult, of course), that produces practical solutions to real world problems far faster than a group of industry-hardened veterans painstakingly polishing their codebase in pursuit of craftsmanship. Those who appreciate how it is made will pay for the crafstmanship. Those who cannot afford to do so, and only care about a solution working well enough for the tasks they want to accomplish, the production line is good enough.
However, playing this reminded me of exploring hidden parts of a map imbued with love, the joys of finding other souls just lounging around or moving excitedly, and the cute little games and things strewn about every corner.
On the other hand, I've seen more professors — especially in the humanities, but also upper div CS — start banning devices in lecture partially or altogether. Complete distraction (scrolling Instagram, etc.) during lecture is extremely prevalent, and they keep citing noticeable improvements in engagement after banning devices. This also coincides with a shift back to less take-home assignments and more exam-style assessment since they want greater assurance people aren't completely offloading their cognition to LLMs.
The OP brings up testimony of someone other than himself who prefers when software drives their car rather than him.