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.

Unless something has changed, it did. The page linked reads:

And, obviously, this POC is open source, the code is publish here on our forge.

The link takes you to their repos. The server repo has instructions on self-hosting directly on your server or with Docker. The app repo has code for both the iOS and Android apps. That’s good, because the iOS app at least doesn’t have a built-in way to select a different backend server.

Whisper is by OpenAI and as far as I know they have not shared the training code, much less the data sets, so the best you can do is fine-tune the models they’ve provided.

If use of Whisper is a problem, but the project is otherwise interesting to you, you could ask them to consider using a different STT solution (or allowing the user to choose between different options). I’m not aware of any fully open STT applications that are considered to be as capable as Whisper, but if you do, that would be great info to share with them.

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?

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.

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.

Up until a year ago, the README explicitly said they didn’t claim to be an open source project: https://github.com/jgraph/drawio/commit/8906f90ac0cc50a0c6da77c28cf9b2b2339277b1#diff-b335630551682c19a781afebcf4d07bf978fb1f8ac04c6bf87428ed5106870f5L10

For starters, it was never “open source”…

From your link:

Instead, as Winamp CEO Alexandre Saboundjian said, “Winamp will remain the owner of the software and will decide on the innovations made in the official version.” The sort-of open-source version is going by the name FreeLLama.

While Winamp hasn’t said yet what license it will use for this forthcoming version, it cannot be open source with that level of corporate control.

If I upload the source code for my project on Github/Forgejo/Gitlab/Gitea and license it under and open source license, allowing you to fork it and do whatever you want (so long as you follow the terms of my copyleft license), and I diligently ensure that code is uploaded to my repository before being deployed, but I ignore all issues, feature requests, PRs, etc., is my project open source?

Yes.

Likewise, if Winamp had been licensed under an open source license, it would have been open source, regardless of how much control they kept over the official distribution.

Winamp wasn’t open source because its license, the WCL, wasn’t open source.

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

For the purposes of this project, you could at least reproduce them by running wget and downloading them from the original projects.

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.

This isn’t true or how it works, but there is a law being proposed that would sorta make it so: https://arstechnica.com/information-technology/2024/08/senates-no-fakes-act-hopes-to-make-unauthorized-digital-replicas-illegal/

(In the US), your likeness is protected under state laws and due to case law, rather than federal laws, and I don’t know of any such law that imposes a responsibility upon sites like Twitter to take down violations upon your report in the same way that the DMCA does. Rather, they allow you to sue the entity who used your likeness for damages in civil court. That isn’t very useful to Jane when her ex-boyfriend uploads revenge porn of her or to Kate when a random Twitter account deepfakes her face onto a nude.

However, if a picture you have copyright to (like a selfie) is used as an input into an AI, arguably you do have partial copyright to it, as the AI elements are not copyrighted and it could not have been created without your input. As such, I think it would be reasonable to issue a DMCA takedown request if someone posted a nonconsensual deepfake of you, on the grounds that you have a good faith belief that you do have copyright to it. However, if you didn’t take the picture used as an input yourself, you don’t have copyright to it and therefore don’t have partial copyright to the output, either. If it’s a deepfake face swap, then whoever owns copyright of the original scene image/video would also have partial copyright, and they could also issue a DMCA takedown request.

It’s like how they slapped ‘Smart’ on every tech product in the past decade. Even devices that are dumb as fuck are called ‘Smart’ devices.

I’m not a big fan of “Smart” as a marketing term, either, but “Automatable” doesn’t exactly roll off the tongue, and “Connected” doesn’t really have the same appeal. That said, “smart” was used pretty consistently to refer to devices that could be controlled as part of a “smart home.” It wasn’t supposed to refer to a device that itself was intelligent, though.

I always thought of AI as artificial consciousness, an unnatural and created-by-humans self-aware and self-thinking being.

Sounds like you’re thinking of AGI (artificial general intelligence) or that your understanding is based off sci fi as opposed to the academic discipline/field of research, which has been around since the 1950s.

And yes, marketing is often inaccurate… but almost every instance I’ve seen where they say they’re using AI, they were.

In fact stuff like ChatGPT would’ve made more sense to actually be called ‘Smart’ search engines instea of ‘AI’.

IMO “Smart” would be more misleading than “AI,” even if “Smart” didn’t have an existing, unrelated meaning. I do think we could use better words - AI is such a broad category that it doesn’t say much to call a product “AI-powered.” Stable Diffusion and Llama use completely different types of AI, for example. But people broadly recognize the term (even if they don’t understand it properly) and the same can’t be said for terms like “LLM.”

They might be technological achievements, but they’re not AI.

You’re illustrating the AI effect - “discounting of the behavior of an artificial-intelligence program as not “real” intelligence.” AI is used in a ton of different ways that you likely don’t ever think about or even notice.

I recommend reading over at least the introduction to the Artificial Intelligence article on Wikipedia before proclaiming that something that fits cleanly into the definition of AI isn’t AI.

Both numbers are based off market value, though