Well yes the peformance ceraintly hasn’t caught up yet to x86 but the strongest riscv cpu on the market as far as I know has 64 cores on 2ghz. More then enough to run a desktop.

What is stopping people from bringing RISC-V to the desktop now? Major distros already support it and you can run x86 programs with box64.

What is not fast enough then?

The datacenter card shown here in the thumbnail (MTT S4000) or the consumer cards (MTT S80)? Ive searched quite alot and found listings of the consumer lineup but sadly never the datacenter lineup.

Now if only you could actually purchase one.

Never going to be enforceable, microsoft and google will probably cave but if you care about privacy you already don’t use their products.

Seems like it’s specs are still unknown?

But you can make this argument for anything that is used to make rich people richer. Even something as basic as pen and paper is used everyday to make rich people richer.

Why attack the technology if its the rich people you are against and not the technology itself.

No?

Anyone can run an AI even on the weakest hardware there are plenty of small open models for this.

Training an AI requires very strong hardware, however this is not an impossible hurdle as the models on hugging face show.

A random suggestion would be to draw to multiple canvases, and use a CSS animation for the delay.

Also not sure if you are already doing this but it might be more peformant to use the raw buffer instead of draw functions.

Alternatively you could look into webgpu, it is ment for these kind of things.