They are currently at universities slightly below (about 5 spots in US news rankings) of my alma mater.

Not honoring legacy comes with a price, when my alma mater rejected my kids I moved a multi-million donation to a different organization.

Zulu time sounds like a colonialist slur. We should have a woke time instead, at least for the early morning hours.

It's the difference between science fiction and plain fiction.

-1 bottles of beer on the wall, -1 bottles of beer, take one down, pass around, there's i bottles of beer... whoops! Must be root beer.

I once tested this idea with a large coil I placed against the ceiling, hoping that my upstairs neighbour's equipment would be caught within the near field. I then played some horrible schlager through the coil. Unfortunately, the only effect I got was on my side, with a large metal rack vibrating to the tune.

Why don't we pick another molecule which is similar to DNA and not biologically active?

Ah, I must have been lucky with my applications and the GPU. I actually started with Mesa OpenCL which seemed fine at first, but there were timeouts on my longer-running kernels, and ROCm has none of that.

I do fairly simple but heavy numerical stuff, and it turns out AMD cards are much better for these uses. For example, double precision float speed is only half of single precision, whereas DP on Nvidia consumer cards is much slower. It's easy to check this as Nvidia also runs OpenCL, so in my experience ROCm isn't particularly slow, quite the contrary.

is this original or are they simply hosting a rebranded mozilla/Firefox sync? ... which does all that for the last ten years

I've refused to learn CUDA as I don't want my code to be at the mercy of a single GPU maker. The project looks interesting at first glance, but it seems like they'd just be playing catch-up with new CUDA developments. Open standards are much nicer, and besides OpenCL, I've got the impression that ROCm itself (which is open source) provides a lot of CUDA-like higher-level functionality.

This doesn't seem right at all. I'm using ROCm drivers for OpenCL applications right now on an RX 6600, an affordable consumer GPU. ROCm is open source (see the Wikipedia link in the summary) so there isn't an immediate danger of dropping support for a given hardware; you can always fork it and backport things etc.

AMD also provides closed source drivers so perhaps you're referring to them?

The idea of 3DNow instructions hasn't gone anywhere, it's just that Intel pushed their own version called SSE, which was eventually adopted by AMD as well. From what I understand, NPUs, tensor cores etc. are just continuing the trend of wider SIMD units and shouldn't be too application-specific. It's just marketing that likes to name them after the most popular application, just like AMD's floating point SIMD unit was named for 3D graphics.

The way I see this, it's just SIMD units getting wider. Some of us have been working with large vectors/matrices for decades, and wonder what's so "neural" about the latest matrix multiplication unit. It's nice to se the wide SIMD trend continue, as long as the hardware doesn't get too application-specific, so it remains useful after the current AI craze wears off.

People who say this aren't routinely moving around six or seven people and a dog. I guess we can take a car and a crossover SUV instead, of course that doubles the energy used and takes two parking places.

I've had it with these motherfucking eels on this motherfucking hovercraft!