Found the other NixOS user. ;)

Got a chance to ride in a BYD EV this summer. Impressive vehicle, doubly so for the price.

TIL - thanks!

The mastodon version of a post or, sadly, tweet.

It’s, uh, not the best name.

But maybe, just maybe, it more appropriately attributes correct value to a social media thing. ;)

Is there a reason you need a dual book instance instead of a VM or even WINE?

Unless you need direct access to hardware and if you have enough RAM, you can probably avoid dual booting altogether.

Good enough? I mean it’s allowed. But it’s only good enough if a licensee decides your their goal is to make using the code they changed or added as hard as possible.

Usually, the code was obtained through a VCS like GitHub or Gitlab and could easily be re-contributed with comments and documentation in an easy-to-process manner (like a merge or pull request). I’d argue not completing the loop the same way the code was obtained is hostile. A code equivalent of taking the time (or not) to put their shopping carts in the designated spots.

Imagine the owner (original source code) making the source code available only via zip file, with no code comments or READMEs or developer documentation. When the tables are turned - very few would actually use the product or software.

It’s a spirit vs. letter of the law thing. Unfortunately we don’t exist in a social construct that rewards good faith actors over bad ones at the moment.

As someone who worked at a business that transitioned to AGPL from a more permissive license, this is exactly right. Our software was almost always used in a SaaS setting, and so GPL provided little to no protection.

To take it further, even under the AGPL, businesses can simply zip up their code and send it to the AGPL’ed software owner, so companies are free to be as hostile as possible (and some are) while staying within the legal framework of the license.

Pros:

• you run a home lab

Cons:

• you run a home lab

deleted by creator

pfBlockerNG at the network edge and ublockorigin on devices.

Pijul is a very exciting project. I’ve wanted to try it for months buy haven’t found the time.

Hard to tell from first glance but my guess would be this is fallout from the ongoing xz drama. Here: https://www.openwall.com/lists/oss-security/2024/03/29/4

Also: https://arstechnica.com/security/2024/03/backdoor-found-in-widely-used-linux-utility-breaks-encrypted-ssh-connections/

I’m on iOS and do the same thing.

The WireGuard app has a setting to “connect on demand”. It’s in the individual connections/configurations.

You can then set either included or excluded SSIDs. There’s also an option to always connect when you’re on mobile/cellular data.

I imagine the Android app is similar.

DM’ed you the link.

Reason: personal GitHub account.

Reddit was aggressively rate limiting tools used to delete and edit content in a funny way when the API pricing was announced. The API wouldn’t return an error, the rate limiting was silent, and the tools would report successful deletion or edits even when the edit or deletion wasn’t made.

I had to modify an existing script to handle the 5-second rate limit and, lieu of deleting, I just rewrote each comment with a farewell.

Even then I did 3 passes (minor additional edits) in cases Reddit was saving previous edits.

My content has stayed edited.

Neat, I’ll have to look it up. Thanks for sharing!

Nextcloud isn’t exposed, only a WireGuard connection allows for remote access to Nextcloud on my network.

The whole family has WireGuard on their laptops and phones.

They love it, because using WireGuard also means they get a by-default ad-free/tracker-free browsing experience.

Yes, this means I can’t share files securely with outsiders. It’s not a huge problem.

You’re conferring a level of agency where none exists.

It appears to “understand.” It appears to be “knowledgeable. “

But LLMs do neither of those things.

Take this note from an OpenAI dev:

It’s that these models have leveraged so much data they’ve been able to map out relationships between words (or images) in way as to be able to generate what seem like new versions of those things.

I grant you that an LLM has more base level knowledge than any one human, but again this is thanks to terrifyingly large dataset and a design that means it can access this data reasonably reliably.

But it is still a prediction model. It just has more context, better design and (most importantly) data to make predictions at a level never before seen.

If you’ve ever had a chance to play with a model at level where you can control some of its basic parameters it offers a glimpse into just how much of a prediction machine it can be.

My favourite game for a while was to give midjourney a wildly vague prompt but crank the chaos up to 100 (literally the chaos flag at the highest level) to see what kind of wild connections exist but are being filtered out during “normal” use.

The same with the GPT-3.5 API in the “early days” - you could return multiple versions of the response and see the sausage being made to a very small degree.

It doesn’t take away from the sense of magic using these tools. It just helps frame what’s going on under the hood.

SMB : https://en.m.wikipedia.org/wiki/Server_Message_Block

In short it’s a way to share network access to storage across MacOS/Linux/Windows.

MacOS switched from AFS to SMB (as the default file sharing / network storage protocol) a few years ago as it was clear that was how everything was headed - though iOS and MacOS also have native support for NFS.

On linux, you can use samba to create SMB shares that will be available to your iOS device.

It’s a lot of configuration though - so maybe not the best choice.

As for Nextcloud - indeed you can use it in your local network without making it available on your WAN connection. That’s how we use it here.

When we need it remotely - we VPN into our home network. But no exposed ports. :)

Neat solution!