[-] just_another_person 4 points 6 hours ago* (last edited 6 hours ago)

Sounds like a power issue. The BIOS should at least recognize the drive is there, regardless of what is on the drive. You may want to make sure whatever you're plugging into is actually set to manage SATA drives in the proper mode.

Maybe think about getting a USB to SATA adapter for cheap to make sure.

Other things:

  • are you hearing the drives spin when you plug them in? (SAS probably needs 5v or 12v, it'll say on the drive)
  • did you check if there are jumpers set for a specific mode of operation?
  • are you positive your drive controller can read other SATA devices?

To your last point, of it's an 8x card, it should work fine in a 4x slot, just at 4x speeds.

Edit: does your motherboard not have SATA? Try it there instead of this card to rule it out as a problem.

[-] just_another_person 12 points 9 hours ago

Just reading through the comments, and your post. You'd honestly have a much better time getting a Pi of some sort and just running that. This is antiquated hardware that is going to have all sorts of headaches even if you do get it running.

[-] just_another_person 3 points 9 hours ago* (last edited 6 hours ago)

Check ProtonDB, or submit a bug report with the developer. External keyboard would get you around this issue for the time being.

[-] just_another_person 2 points 11 hours ago

You might be missing the point

[-] just_another_person 5 points 13 hours ago

Smaller footprint in general, compiled as one (not multimodal kernel+extensions), simpler security models, and simpler init system. All of these will make it snappier out of the box than Linux, just not in the ways you'd want, say, a desktop to be faster.

[-] just_another_person 3 points 21 hours ago

The first half of this video is entirely dumb, which is shocking, because the second half actually accurately describes the issues the first half makes out to be "mysterious". It's not at all.

We can view model decisions AFTER they execute, but they are too fast to observe live. This is why constraints are put into place for reinforcement models to begin with. You want an expected outcome, just fast.

This video is confusing two different worlds that operate completely different from each other: computer vision models, and generative models.

We know exactly why vision models do what they do, because it's predetermined, and a result is expected. Training these models includes large sample sets which can be observed, and the resulting model has outputs describing what happened during training. There are a jillion tools out there that let you even run a step-by-step of such models to see what the before and after of the input is, and allow you to adjust to your liking if the result is not correct. We wouldn't be able to program them if not.

Generative models that are predictive operate differently. They attempt to guess a variation of input after a few filters, and then sort of run on their own. This is not reinforced learning, and is why it differs heavily from what this video describes.

There's a massive difference between the different operations of neural networks, and this video just confuses all of them in some spots, but accurately describes them in others. It's all over the place.

Base fact being that a model meant for vision is not having the same issues as one meant for languages or deep learning.

[-] just_another_person 23 points 21 hours ago

This has been known since the 60's. This is neither shocking, nor unexpected.

If you put a label on the tailpipe of every truck sold in the US that says "Breathing heavily from this exhaust while the engine is running will kill you", every MAGA fool will go to the mat to call it a political move. It's a known fucking fact.

[-] just_another_person 12 points 21 hours ago

SURPRISE! It's a MAGA fascist.

[-] just_another_person 12 points 21 hours ago

Is this news from 2004?

[-] just_another_person 13 points 21 hours ago

It's USAToday, folks. You can move on.

[-] just_another_person 16 points 22 hours ago

They're all trying to find new ways to say it, without actually saying it. Fallout rules.

submitted 4 weeks ago by just_another_person to c/science
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submitted 2 months ago* (last edited 2 months ago) by just_another_person to c/[email protected]

Overall, probably a positive thing as the improvements made here will flow downstream. I'm actually looking forward to seeing the performance of these new Qualcomm chips in laptops.

submitted 3 months ago by just_another_person to c/homeassistant

Let me just give the simplest explanation of my intended outcome here: I want to use Assist to speak "Play {Album} by {Artist} in {Room name}", and have it "just work".

The Speech to text triggers aren't an issue, but the Intents are. Checking the built-in Intents has been of no use. The custom sentence docs only really handle the first part of the equation.

So say I want to work this out with a local NAS mount where everything is categorized as Artist/Album in the directory structure, does anyone have any pointers or links that may be helpful?

submitted 6 months ago by just_another_person to c/science
submitted 7 months ago by just_another_person to c/politics
submitted 8 months ago by just_another_person to c/[email protected]

Tldr; Have tested multiple different Ryzen 7000 configurations on various kernels, and the power draw just seems really bad.

Been looking for a decent new laptop workstation that fits various tasks. Phoenix chips check a lot of the boxes that I want, but the power draw on Linux for these chips seems a bit...crazy.

The product docs say these chips are 35W-45W, but I figured that was just the range of maximums. What I'm seeing on fresh installs of various Debian variants is a CONSTANT power draw of at least 35W on the low end at all times. I've stepped kernel point releases from 6.0 to 6.6 to test out, and the later versions are definitely better at using a bit less power thanks to the amd_pstate_epp being included directly in the kernel, but this power draw is still there for the CPU package on idle.

A few different laptop models I've tested will only get 90 mins on battery because of this. I've now tried four different models from three different manufacturers, and all show the same type of power draw.

Is this just a "thing" with these chips? I understand they were modified from desktop to be a more mobile platform, but this is just terrible from an end-user perspective. I want the CPU and iGPU, and hell, even the FPGA XDNA thingie, but not when the machine can't run off of AC.

submitted 8 months ago by just_another_person to c/analog
submitted 8 months ago by just_another_person to c/analog
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submitted 8 months ago by just_another_person to c/analog
submitted 8 months ago by just_another_person to c/videos
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joined 11 months ago