GenderNeutralBro

That was the my first distro. Getting it to run off a FireWire drive was an interesting introduction to Linux.

Fun fact: yum stands for Yellow dog Update Manager. I know it's been replaced by dnf but I still think that's cool.

And you can't tell when something is active/focused or not because every goddamn app and web site wants to use its own "design language". Wish I had a dollar for every time I saw two options, one light-gray and one dark-gray, with no way to know whether dark or light was supposed to mean "active".

I miss old-school Mac OS when consistency was king. But even Mac OS abandoned consistency about 25 years ago. I'd say the introduction of "brushed metal" was the beginning of the end, and IIRC that was late 90s. I am old and grumpy.

Say all you want about hallucinations, but AI will never be able to outperform humans at bullshitting, so sales and marketing is safe.

Yeah, AMD is lagging behind Nvidia in machine learning performance by like a full generation, maybe more. Similar with raytracing.

If you want absolute top-tier performance, then the RTX 4090 is the best consumer card out there, period. Considering the price and power consumption, this is not surprising. It's hardly fair to compare AMD's top-end to Nvidia's top-end when Nvidia's is over twice the price in the real world.

If your budget for a GPU is <$1600, the 7900 XTX is probably your best bet if you don't absolutely need CUDA. Any performance advantage Nvidia has goes right out the window if you can't fit your whole model in VRAM. I'd take a 24GB AMD card over a 16GB Nvidia card any day.

You could also look at an RTX 3090 (which also has 24GB), but then you'd take a big hit to gaming/raster performance and it'd still probably cost you more than a 7900XTX. Not really sure how a 3090 compares to a 7900XTX in Blender. Anyway, that's probably a more fair comparison if you care about VRAM and price.

Basically the only thing that matters for LLM hosting is VRAM capacity

I'll also add that some frameworks and backends still require CUDA. This is improving but before you go and buy an AMD card, make sure the things you want to run will actually run on it.

For example, bitsandbytes support for non-CUDA backends is still in alpha stage. https://huggingface.co/docs/bitsandbytes/main/en/installation#multi-backend

Borg via Vorta handles the hard parts: encryption, compression, deduplication, and archiving. You can mount backup snapshots like drives, without needing to expand them. It splits archives into small chunks so you can easily upload them to your cloud service of choice.

You can root Graphene if you want to, right?

IIRC, Android has always had native support for keyboards and mice. I remember connecting a bluetooth mouse to my old Nexus 4 running...Android 4, maybe 5? It worked out of the box. Saved my butt when the touch screen broke. :)

Can't say I've tried this in recent years but I think it still works, yeah?

I've never tried it myself, but I think you can run full Linux VMs on Pixel phones already. A quick search brings up https://www.xda-developers.com/nestbox-hands-on/

Anyone have experience with this or similar options? Personally I've never used anything more advanced than Termux (which is lean and super cool, but not a full-blown VM).

Yeah. It will almost certainly work, but you might not get the same quality as you get on Android. Check the specs of your specific model of earbuds to see which codecs they support. LDAC should work on Debian, but as far as I know Huawei's proprietary L2HC codec does not work on Linux.

I'm not 100% sure about this since I've never used Huawei earbuds myself.

I only have a vague understanding of what iptv is but I guess it's time to learn. This looks cool.

Yeah. It was a different time, when the general public had the disposition of a myotonic goat. I don't think any of his stuff would seem shocking by today's standards.