Is this legit? This is the first time I’ve heard of human neurons used for such a purpose. Kind of surprised that’s legal. Instinctively, I feel like a “human brain organoid” is close enough to a human that you cannot wave away the potential for consciousness so easily. At what point does something like this deserve human rights?

I notice that the paper is published in Frontiers, the same journal that let the notorious AI-generated giant-rat-testicles image get published. They are not highly regarded in general.

DuckDuckGo is an easy first step. It’s free, publicly available, and familiar to anyone who is used to Google. Results are sourced largely from Bing, so there is second-hand rot, but IMHO there was a tipping point in 2023 where DDG’s results became generally more useful than Google’s or Bing’s. (That’s my personal experience; YMMV.) And they’re not putting half-assed AI implementations front and center (though they have some experimental features you can play with if you want).

If you want something AI-driven, Perplexity.ai is pretty good. Bing Chat is worth looking at, but last I checked it was still too hallucinatory to use for general search, and the UI is awful.

I’ve been using Kagi for a while now and I find its quick summaries (which are not displayed by default for web searches) much, much better than this. For example, here’s what Kagi’s “quick answer” feature gives me with this search term:

Room for improvement, sure, but it’s not hallucinating anything, and it cites its sources. That’s the bare minimum anyone should tolerate, and yet most of the stuff out there falls wayyyyy short.

I recently upgraded to a 7900 XTX on Debian stable, as well. I’m running the newest kernel from Debian’s backports repo (6.6, I think), and I didn’t have that same problem.

I did have other problems with OpenCL, though. I made a thread about this and solved it with some trouble. Check my post history if you’re interested. I hope it helps. I can take a closer look at my now-working system for comparison if you have further issues.

IT WORKS NOW! I will need time to run additional tests, but the gist of my solution was:

1. Backport llvm-18 from sid following the guide you linked at https://wiki.debian.org/SimpleBackportCreation

2. After compiling and installing all those deb files, I then installed the “jammy” version of amdgpu-install_6.0.60002-1.deb from https://www.amd.com/en/support/linux-drivers

3. Downloaded the latest kernel sources from https://git.kernel.org/pub/scm/linux/kernel/git/firmware/linux-firmware.git, and simply copied all the files from its lib/firmware/amdgpu folder into my system’s /lib/firmware/amdgpu. Got that idea from https://discussion.fedoraproject.org/t/amdgpu-doesnt-seem-to-function-with-navi-31-rx-7900-xtx/72647

4. sudo update-initramfs -u && sudo reboot

I’m not totally sure it step 3 was sane or necessary. Perhaps the missing piece before that was that I needed to manually update my initramfs? I’ve tried like a million things at this point and my system is dirty, so I will probably roll back to my snapshot from before all of this and attempt to re-do it with the minimal steps, when I have time.

Anyway, I was able to run a real-world OpenCL benchmark, and it’s crazy-fast compared to my old GTX 1080. Actually a bigger difference than I expected. Like 6x.

THANKS FOR THE HELP!

Thanks for the links! I’ve never attempted making my own backport before. I’ll give it a shot. I might also try re-upgrading to sid to see if I can wrangle it a little differently. Maybe I don’t actually need mesa-opencl-ics if I’m installing AMD’s installer afterwards anyway. At least, I found something to that effect in a different but similar discussion.

Update: I upgraded to Sid. Unfortunately, mesa-opencl-icd depends on libclc-17, which uninstalls -18. So I can’t get OpenCL working while the correct libclc is installed.

No idea where to go from here. I’ll probably restore my Bookworm snapshot, since I don’t want to be on Sid if it doesn’t solve this problem.

Update: Running amdgpu-install did not provide those files. There were a few errors regarding vulkan packages when I attempted, I guess because it’s assuming Ubuntu repos. Trying with just opencl and not vulkan succeded, but still clinfo reported the missing files.

I don’t think I can get this working without a whole newer llvm.

Ah, somehow I didn’t see 18 there and only looked at 17. Thanks!

I tried pulling just the one package from the sid repo, but that created a cascade of dependencies, including all of llvm. I was able to get those files installed but not able to get clinfo to succeed. I also tried installing llvm-19 from the repo at https://apt.llvm.org/, with similar results. clinfo didn’t throw the fatal errors anymore, but it didn’t work, either. It still reported Number of devices 0 and OpenCL-based tools crashed anyway. Not with the same error, but with something generic about not finding a device or possibly having corrupt drivers.

Should I bite the bullet and do a full ugprade to sid, or is there some way to this more precisely that won’t muck up Bookworm?

Can you explain more about your workflow? Do the Nix packages have their own isolated dependency resolution? How does it work when Debian packages depend on a library you get from Nix, or vice-versa?

Thanks, that’s good advice. There are lower-numbered gfx* files in there. 900, 902, 904, 906. No 1030 or 1100. Same after reinstalling.

Looks like these files are actually provided by the libclc-15 package. libclc-16 has the same set of files. Even libclc-17 from sid has the same files. So I guess upgrading to testing/unstable wouldn’t help.

apt-file search gfx1100-amdgcn-mesa-mesa3d.bc yields no results, so I guess I need to go outside of the Debian repos. I’ll try the AMD package tonight.

“Smart” may as well be synonymous with “unpredictable”. I don’t need my computer to be smart. I need it to be predictable, consistent, and undemanding.

Thanks! I didn’t see that. Relevant bit for convenience:

we call model providers on your behalf so your personal information (for example, IP address) is not exposed to them. In addition, we have agreements in place with all model providers that further limit how they can use data from these anonymous requests that includes not using Prompts and Outputs to develop or improve their models as well as deleting all information received within 30 days.

Pretty standard stuff for such services in my experience.

If you click the Chat button on a DDG search page, it says:

DuckDuckGo AI Chat is a private AI-powered chat service that currently supports OpenAI’s GPT-3.5 and Anthropic’s Claude chat models.

So at minimum they are sharing data with one additional third party, either OpenAI or Anthropic depending on which model you choose.

OpenAI and Anthropic have similar terms and conditions for enterprise customers. They are not completely transparent and any given enterprise could have their own custom license terms, but my understanding is that they generally will not store queries or use them for training purposes. You’d better seek clarification from DDG. I was not able to find information on this in DDG’s privacy policy.

Obviously, this is not legal advice, and I do not speak for any of these companies. This is just my understanding based on the last time I looked over the OpenAI and Anthropic privacy policies, which was a few months ago.

Apple: builds their entire software ecosystem on free, open-source foundations.

Also Apple: better have a million euros if you want to even start distributing software.

The best use case for an external app store is free open-source software, like we have on the Android side with F-Droid. Apple stopped that before it even started. Jeez.

This is correct, albeit not universal.

KDE has a predefined schedule for “release candidates”, which includes RC2 later this month. So “RC1” is clearly not going to be the final version. See: https://community.kde.org/Schedules/February_2024_MegaRelease

This is at least somewhat common. In fact, it’s the same way the Linux kernel development cycle works. They have 7 release candidates, released on a weekly basis between the beta period and final release. See: https://www.kernel.org/category/releases.html

In the world of proprietary corporate software, I more often see release candidates presented as potentially final; i.e. literal candidates for release. The idea of scheduling multiple RCs in advance doesn’t make sense in that context, since each one is intended to be the last (with fingers crossed).

It’s kind of splitting hairs, honestly, and I suspect this distinction has more to do with the transparency of open-source projects than anything else. Apple, for example, may indeed have a schedule for multiple macOS RCs right from the start and simply choose not to share that information. They present every “release candidate” as being potentially the final version (and indeed, the final version will be the same build as the final RC), but in practice there’s always more than one. Also, Apple is hardly an ideal example to follow, since they’ve apparently never even heard of semantic version numbering. Major compatibility-breaking changes are often introduced in minor point releases. It’s infuriating. But I digress.

A non-smartphone, that is, a cell phone like the ones that today’s parents had when we were young and with which we made calls and sent text messages, was enough for us, and it did not cause addiction.

That’s not the way I remember it. Texting addiction was a thing. That’s how Twitter became popular; it was basically a way to broadcast SMS to friends at first.

I guess it’s a matter of degrees.

Ad-based services are the real problem here, I think. You don’t hear people complaining about Wikipedia addiction.

All the time. Not always by choice!

A lot of my work involves writing scripts for systems I do not control, using as light a touch as is realistically possible. I know for a fact Python is NOT installed on many of my targets, and it doesn’t make sense to push out a whole Python environment of my own for something as trivial as string manipulation.

awk is super powerful, but IMHO not powerful enough to justify its complexity, relative to other languages. If you have the freedom to use Python, then I suggest using that for anything advanced. Python skills will serve you better in a wider variety of use cases.

Can’t be arsed.

It means you don’t care to put in the effort required.

https://dictionary.cambridge.org/dictionary/english/arsed

I used to run Tumbleweed with KDE on my Nvidia system. I found the rolling release structure of Tumbleweed to cause extra work for me, because kernel updates came frequently and occasionally broke the Nvidia drivers. As a workaround, I ended up pinning my kernel to an old version.

Nvidia drivers have been at least a little troublesome on every distro I’ve used, particularly with the additional CUDA libraries.

One nice thing about Suse is that it uses BTRFS by default, and you can use snapper to revert your whole system if something goes wrong. So if Nvidia shits the the bed after an update, it’s easy to roll back. Most distros default to ext4 and do not have snapshot support by default, which feels like living in the stone age to me after using Suse and BTRFS.

Of course you CAN set up BTRFS and snapshots in any distro, but that’s a lot to ask for a beginner with Linux. I strongly recommend choosing a distro that does that for you, like Suse.

I feel this.

Back in the 90s, there was a fantastic paint program for Mac called ColorIt! (The exclamation point is part of the name, though this is the last time I will respect that because it’s obnoxious; lookin’ at you, Yahoo!*)

It was a commercial product, but ColorIt 2.3 was eventually released as freeware after newer major versions were released for sale. 2.3 was everything I needed, and while I did try ColorIt 4.0, it didn’t click with me the way 2.3 did. At the time I felt like they bowed to the pressure of Adobe’s success and instead of playing to their unique strengths, they made ColorIt’s UI a bit too much like Photoshop. So I stuck with version 2.3.

By the time Mac OS X came around, ColorIt was no longer in active development. But OS X had the “Classic” environment, something akin to an OS 9 VM tightly integrated into OS X. Classic apps didn’t look or feel like native OS X apps, and running Classic came with a heavy RAM burden. But I did it anyway, because ColorIt 2.3 was da bomb.

I continued using ColorIt 2.3 up until Apple killed support for Classic in 10.6 Snow Leopard.

At that point, the intrepid developers came out of hiding and created a Carbon port of ColorIt 4.5 that could run natively on OS X. It was Carbon-only, which meant that it it didn’t run natively on Intel Macs, but it did run thanks to Apple’s Rosetta compatibility layer — at least until Apple axed that as well.

If I ever get into pixel art again, I’ll probably run ColorIt 2.3 again in an OS 9 VM with Sheepshaver or whatever works best nowadays.

*That exclamation point is strictly to emphasize my disdain for Yahoo.