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Comment Re:"internal leader boards" (Score 1) 65

> example of why I remain self employed

There's a tradeoff: self-employed people will usually have to do more clerical and administrative work. I personally get bored with that and I'm not very efficient at it.

Maybe an old-fashioned keyboard/mouse automation tool can help some? (Can't vouch if adding AI to such helps.)

Comment Re:But the real cost is increased service prices (Score 1) 72

Also, anything sounds big when you put it in gallons. Doesn't sound so big when you mention that's 92 acre feet, the amount used by less than 20 acres / 8 hectares of alfalfa per year. Or when you mention that a typical *closed loop* 1GW nuclear reactor uses 6-20 billion gallons of cooling water per year (once-through uses 200-500 billion gallons, though most of that is returned, whereas closed loop evaporates it)

Comment Re:AI could solve this eventually. (Score 2) 46

It's modded funny because OpenCL is all but dead for new projects. It got weighed down by industry infighting to the point that the big feature of OpenCL 3.0 in 2020 was undoing everything added to the spec after 2011.

So the idea of using OpenCL as a CUDA replacement, rather than something like ROCm or OneAPI, is funny. It's like rewriting C++ programs to use Pascal.

Comment Re:That makes sense. (Score 4, Interesting) 70

I don't think it has anything to do with that. As soon as I saw the headline, my mind went "cohort study". And sure enough, yeah, it's a cohort study. Remember that big thing about how wine improves your health, and then it turned out to just be that people who drink wine tend to be wealthier and thus have better health outcomes? And also, the "sick quitter" effect, where people who are in worse health would tend to stop drinking, so you ended up with extra sick people in the non-wine group? Same sort of thing. This study says they're controlling for a wide range of factors, but I'd put money on it just being the same sort of spurious correlations.

Comment Re:So? (Score 2) 46

When CUDA started taking off we had ATI hardware, to support their open source pledge, and looked into ROCm.

Just getting the drivers to build on EL-anything was an extreme effort, and it wasn't my first rodeo.

Without betraying confidences, I was told second-hand that there were only ten people on the GPU driver team across all platforms and that they were doing their best and not sleeping enough as it was, with Compute way behind gaming bugs on the priority list.

I couldn't independently verify of course but the theory fit the data.

I immediately empathized with the suffering of the devs and went out and bought nVidia cards, annoying binary drivers and all.

Since then I've felt like that some bean counter at AMD wrote nVidia a trillion dollar check.

If you're not a tiny company *overstaff* your engineering departments so you don't miss new opportunities as they arise. The opportunity costs exceed the opex costs.

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