Why do all the UI component libraries always feature an accordion (something i can build myself in 5 minutes and very rarely need), but always omit a date picker / calendar component (something that is needed almost in every corporate web form and really requires a lot of effort to build)?
That one is highly inconsistent, on some platforms its useless. For instance on Chrome/linux entering historic dates via the datepicker takes minutes to slowly scroll through the years. Always build your own datepicker, you know better what UX pattern will best suit your application and your users.
does this update also enable precision finding from the watch? would this start working with the previous generation of airtags as well (currently you can use precision finding from your iphone, but not from the watch)
> For the first time, users can use Precision Finding on Apple Watch Series 9 or later, or Apple Watch Ultra 2 or later, to find their AirTag, bringing a powerful experience to the wrist.
According the MacRumors, yes but they cant confirm if its only for the new AirTags yet:
"watchOS 26.2.1 is also coming, and it expands Precision Finding to the Apple Watch Series 9 and later, and Apple Watch Ultra 2 and later. We have not yet confirmed if this is for the new AirTag only or also works with the original model."
In the context of this thread (“non-GM level computer chess”, which I read as also excluding International, FIDE Master, and Candidate Master (https://en.wikipedia.org/wiki/Grandmaster_(chess))), I think it’s more important to not have a good learning algorithm.
Even 10 thousand of such games may already have way more tactics than a player at the targeted level can detect and apply. If so, a learning algorithm that detects and remembers all of them already will be better than the target level.
Exactly. Level x (whatever scalar thing the user meant by that) doesn't quite work out for the reason you outlined. X Level Players have different tactics and someone that can use all of them will likely be better than most if not all those those players. I got downvoted for saying that. Maybe I didn't phrase it as well as you did
Yeah but, won't it also be learning from the mistakes and missed tactics too? (Assuming its reward function is telling it to predict the human's move, rather than actually trying to win.)
"Sapiens" by Yuval Harari is really remarkable overview of human history and is much more recently written. I read it twice already and enjoyed it a lot both times.
Some of the dog breeds, most notably French Bulldogs, have been specifically bred for qualities that enhance their interaction and dependency on humans (like having a unique set of facial features and expressions that many people find irresistibly cute and compelling).
Hmm, if generating new code is an easy task for GPT, why don't you ask it to create a new project from scratch every moment a user comes up with a new feature?
Who needs to maintain an old codebase if you can rewrite it adding new features at whim?
reply