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)

From the linked article:

> 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."

take millions of games of human players of certain rating only as your learning data?

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.)

condition the move on ELO while training

"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.

Yes absolutely agree, sapiens was phenomenal. It wasn't nearly as comprehensive as guns, germs and steel, but absolutely would recommend it

Thanks for reminding me to read this, been on the list for a while.

Getting "Error: Internal error while processing request." while trying on my personal public github repo. HN effect?

Co-founder here, I think it might be all the traffic haha. Working on a fix now.

Edit: chatting with processed repos should be working again now

Can I run this in GitHub Actions?

Yes [1].

1. https://www.atomicjar.com/2023/06/running-testcontainers-tes...

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).

> bred for qualities that enhance their interaction and dependency on humans

That's basically the whole idea behind dogs.

Warp terminal comes to mind as well. But I believe they are just plain closed-source. What makes these projects fake open-source?

getting acquired by a big tech who wants to catch up with Microsoft's dominance in developer tools is one possible out

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?

and is there no such pair of planets that revolve around the Sun while staying on the same "side" of the Sun?

The way orbits work, orbital velocity is tied to distance. So unless the planets were in the same orbit, one is going to be going faster than the other (the closer one in a radial velocity sense is moving faster, and the further one in a tangential velocity)