Removed the post myself after realising the community only allows articles. My bad!

The map is wildly simplistic, as usual for these Internet takes lol.
In Portugal, for example (where I come from), I don’t know anyone that keeps their shoes in-doors 95% the time. If you’re doing some quick work or holding an event, people might be a bit more lack about taking off your shoes, but I (and many my friends) always make an effort to take some kind of home footware when visiting other people’s homes. As a general rule? Everyone puts some socks/sleepers/flipflops on.

I agree it’s a nice way to try it out, though it has some limitations. Also, my experience with encryption at rest has been a mixed bag, though I think that’s just because Nextcloud’s implementation isn’t quite mature enough.

(happy cakeday!)

Yes! Oh my, I’m silly; that was precisely my point and I managed to mess it up 🙃

Thank you for the correction!

https://en.wikipedia.org/wiki/Compose_key

It’s a key that makes the next 2 or more keystrokes be dead key inserts that combineinto some character otherwise impossible to type.

In my case, my keyboard had a ≣ Menu key which I never used, so I remapped it to Compose.

You’re correct, but that’s like saying along the lines of manufacturing a car is just bolting and soldering a bunch of stuff. It’s technically true to some degree, but it’s very disingenuous to make such a statement without being ironic. If you’re making these claims, you’re either incompetent or acting in bad faith.

I think there is a lot wrong with LLMs and how the public at large uses them, and even more so with how companies are developing and promoting them. But to spread misinformation and polute an already overcrowded space with junk is irresponsible at best.

I’ve been getting into the habit of also using em/en dashes on the computer through the Compose key. Very convenient for typing arrows, inequality and other math signs, etc. I don’t use it for ellipsis because they’re not visually clearer nor shorter to type.

That is not really true. Yes, there are jump instructions being executed when you run interference on a model, but they are in no way related to the model itself. There’s no translation of weights to jumps in transformers and the underlying attention mechanisms.

I suggest reading https://en.m.wikipedia.org/wiki/Transformer_(deep_learning_architecture)

This. And to add to what other commenters have said, by using Bitwarden and paying for their Premium plan (very cheap, just $10/year), even if you don’t use all their features, you’re supporting a good project. It’s critical infrastructure, I think the price is more than fair.
Either way, you should always make periodic backups from any cloud service you use, encrypted of course.

This is a good suggestion. Docker is more mature and has more resources, so it’s better to learn the ins and outs of containers. After getting comfortable with it, you can move to Podman and have a much better time tackling its peculiarities regarding permissions and rootless.

I used Docker for years and only recently decided to give Podman a try, porting my Lemmy instance to it.