Giphy has a documented API that you could use. There have been bulk downloaders, but I didn’t see any that had recent activity. However you still might be able to use one to model your own script after, like https://github.com/jcpsimmons/giphy-stacks

There were downloaders for Gfycat - gallery-dl supported it at one point - but it’s down now. However you might be able to find collections that other people downloaded and are now hosting. You could also use the Internet Archive - they have tools and APIs documented

There’s a Tenor mass downloader that uses the Tenor API and an API key that you provide.

Imgur has GIFs is supported by gallery-dl, so that’s an option.

Also, read over https://github.com/simon987/awesome-datahoarding - there may be something useful for you there.

In terms of hosting, it would depend on my user base and if I want users to be able to upload GIFs, too. If it was just my close friends, then Immich would probably be fine, but if we had people I didn’t know directly using it, I’d want a more refined solution.

There’s Gifable, which is pretty focused, but looks like it has a pretty small following. I haven’t used it myself to see how suitable it is. If you self-host it (or something else that uses S3), note that you can use MinIO or LocalStack for the S3 container rather than using AWS directly. I’m using MinIO as part of my stack now, though for a completely different app.

MediaCMS is another option. Less focused on GIFs but more actively developed, and intended to be used for this sort of purpose.

Wouldn’t be a huge change at this point. Israel has been using AI to determine targets for drone-delivered airstrikes for over a year now.

https://en.m.wikipedia.org/wiki/AI-assisted_targeting_in_the_Gaza_Strip gives a high level overview of Gospel and Lavender, and there are news articles in the references if you want to learn more.

This is at least being positioned better than the ways Lavender and Gospel were used, but I have no doubt that it will be used to commit atrocities as well.

For now, OpenAI’s models may help operators make sense of large amounts of incoming data to support faster human decision-making in high-pressure situations.

Yep, that was how they justified Gospel and Lavender, too - “a human presses the button” (even though they’re not doing anywhere near enough due diligence).

But it’s worth pointing out that the type of AI OpenAI is best known for comes from large language models (LLMs)—sometimes called large multimodal models—that are trained on massive datasets of text, images, and audio pulled from many different sources.

Yes, OpenAI is well known for this, but they’ve also created other types of AI models (e.g., Whisper). I suspect an LLM might be part of a solution they would build but that it would not be the full solution.

Both devices have integrated memory, so that 16 GB will look more like a 11/5, 12/4, or maybe even 14/2 split. The Steam Deck is also $400 for an LCD model or $550 for the OLED, not $800. It’s reasonable to expect more performance when you pay more.

Because the Steam Deck has a lower native resolution, that means that less of the RAM will be used for the integrated GPU. Downscaling from 1080p to 720p doesn’t look good, either - and you could downscale to 540p if supported, but if you need to do that (vs choosing to for an emulated game) it probably won’t be pretty, either.

This device is also running Windows, rather than a streamlined Linux-based launcher, meaning that more of that RAM will be taken up by OS processes by default.

The article talks about how the 8840U benefits from more, fast RAM. You won’t get near the 8840U’s full potential gaming with 16 GB. 24 GB, on the other hand, would have been enough that games expecting 16 GB of system RAM would have been able to get it, even while devoting 6-7 GB to the GPU and 1-2 GB to the OS.

Just don’t use Ubuntu. They do too much invisible fuckery with the system that hinders use on a server.

Would that warning also apply to Mint, since it’s based on Ubuntu, as well as other Ubuntu-based distros?

Your comment makes no sense.

The article you posted is from 2023 and PERA was basically dropped. However, this article talks about PREVAIL, which would prevent patents from being challenged except by the people who were sued by the patent-holder, and it’s still relevant.

Thanks for clarifying! I’ve heard nothing but praise for Kagi from its users so that’s what I was assuming, but Searxng has also been great so I wouldn’t have been too surprised if you’d compared them and found its results to be on par or better.

By the way, if you’re self hosting Searxng, you can use add your own index. Searxng supports YaCy, which is an actively developed, open source search index and crawler that can be operated standalone or as part of a decentralized (P2P) network. Here are the Searxng docs for that engine. I can’t speak to its quality as I still haven’t set it up, though.

there is a better open source meta search engines

I already use Searxng and have never used Kagi, but I’m curious why you say that Searxng is “better.” Are you saying that because the quality of the searches is better, because it’s open source and Kagi isn’t, or for some other reason?

Yes, but have you seen some of the decisions the Supreme Court has come up with?

the law has already made it clear you cannot copyright the output of an LLM.

That’s true in this context and often true generally, but it’s not completely true. The Copyright Office has made it clear that the use of AI tools has to be evaluated on a case-by-case basis, to determine if a work is the result of human creativity. Refer to https://www.copyright.gov/ai/ai_policy_guidance.pdf for more details.

For example, they state that the selection and arrangement of AI outputs may be sufficient for a work to be copyrightable. And that’s without doing any post-processing of the AI’s outputs.

They don’t talk about situations like this, but I suspect that, if given a prompt like “Rewrite this paragraph from third person to first person,” where the paragraph in question is copyrighted, the output would maintain the same copyright as the input (particularly if performed faithfully and without hallucinations). Such a revision could be made with non-LLM technology, after all.

Do you only experience the 5-10 second buffering issue on mobile? If not, then you might be able to fix the issue by tuning your NextCloud instance - upping the memory limit, disabling debug mode and dropping log level back to warn if you ever changed it, enabling memory caching, etc…

Check out https://docs.nextcloud.com/server/latest/admin_manual/installation/server_tuning.html and https://docs.nextcloud.com/server/latest/admin_manual/installation/php_configuration.html#ini-values for docs on the above.

Game Porting Toolkit is designed for developers … but any consumer can use it to play non-Mac games, and it works surprisingly well.

Huh, TIL

Your Passkeys have to be stored in something, but you don’t have to store them all in the same thing.

If you store them with Microsoft’s Windows Hello, Apple Keychain, or Google Password Manager, all of which are closed source, then you have to trust MS/Apple/Google. However, Keychain is end to end encrypted (according to Apple) and Windows Hello is currently not synced to the cloud, so if you trust those claims, you don’t need to trust that they won’t misuse your data. I don’t know if Google’s offering is end to end encrypted, but I wouldn’t trust it either way.

You can also store Passkeys in a password manager. Bitwarden is open source (though they did recently introduce a proprietary, source available SDK), as is KeepassXC. 1Password isn’t open source but can store Passkeys as well.

And finally, you can store Passkeys in a compatible security key, like the YubiKey 5 series keys, which can each store 100 Passkeys. This makes them basically immune to being stolen. Note that if your primary interest in Passkeys is in the phishing resistance (basically nearly perfect immunity to MitM attacks) then you can get that same benefit by using WebAuthn as a second factor. However, my experience has been that Passkey support is broader.

Revoking keys involves logging into the particular service and revoking them, just like changing your password. There isn’t a centralized way to do it as far as I’m aware. Each Passkey is only used for a single service, after all. However, in the same way that some password managers will offer to automatically change your passwords, they might develop a similar for passkeys.

Do any of the iOS or Android apps support passkeys? I looked into this a couple days ago and didn’t find any that did. (KeePassXC does.)

You have your link formatted backwards. It should be Vaultwarden, with the link in the parentheses.

a talking collar isn’t likely to help … if the cat is even willing to wear the thing at all.

“Realistically,” Quagliozzi says, “that collar would just be saying ‘get this fucking collar off me’ all the time.”

You could’ve scrolled down to the bottom, clicked on “Links,” then clicked on the repo link

The repo has instructions to install a Snap or build from source. If you build from source, it looks like you should download an archive from the releases page rather than just pulling from master.

You probably just need Google One and Youtube Premium, which includes Youtube Music Premium.

Of course, if you don’t care about YouTube Premium, you could instead get a family subscription to a different music streaming service - Spotify, Tidal, and Apple Music are all leagues better than Youtube Music, in my opinion.

I don’t personally recommend Google for anything, to be clear.

Open-Webui published a docker image that has a bundled Ollama that you can use, too: ghcr.io/open-webui/open-webui:cuda. More info at https://docs.openwebui.com/getting-started/#installing-open-webui-with-bundled-ollama-support

Synthetic media should be required to be watermarked at the source

Bit late for that (even in 2023). Best we could do now is something like public key cryptography, with cameras having secret keys that images are signed with. However:

• That would require people to purchase new cameras (though phones could likely do this without a new device, leveraging the secure enclaves to sign)
• Depending on the implementation of the signing, even applying filters to images, color grading, or cropping an image could make it stop matching. If you remove something from the background or make other overt changes, it’s definitely not going to match.
  • Adobe has a system for handling changes and attesting that no AI was used. Optimally other major photo editing tools will do something similar. However, I don’t think it’s feasible to securely sign such an attestation history locally, so all such images would need to be uploaded to be signed remotely.
• This won’t work for traditional art

For artists and photographers with old school cameras (“old school” meaning “doesn’t compute and sign a perceptual hash of the image”), something similar could still be done. Each such person can generate a public / private key pair for themselves and sign the images they’ve created manually. This depends on you trusting that specific artist, though, as opposed to trusting the manufacturer of the camera used.