I thought anyone serious about mining switched to ASICs and custom hardware a while ago. At least for BTC and maybe eth, a custom asic setup is ~2-3x more profitable
BTC has been an ASIC game for a very long time. GPUs haven't been profitable there since the ASICs showed up a dozen or so years ago (with odd exceptions where power is "free").
Eth kept hitting the GPU market hard until ~4 years ago, when the network switched from proof-of-work to proof-of-stake. That cut the home-gamer hobbyist miners out rather completely.
(That last one kind of sucked for me. When my office-room had resistive heating, I rather liked getting paid for my otherwise-idle GPU to make heat for me in the winter time. It wasn't much, but >0 is more than <0.)
Ethereum switched to proof of stake in 2022. The cryptocurrency inflicted GPU shortage began in 2017. You're talking about an event that is basically a decade ago at this point.
They expect someone to leak that they had submitted it, so they’re just saying it themselves. I don’t think they mean that the actual contents (like financial projections and all that) will be leaked.
Right, but rendering the visual understanding is based on neighboring pixels normally, which is much more directly related to the visual than plaintext like SVG tags.
I kind of disagree, because describing an image is more like writing an svg than rendering pixels.
If I ask you to describe how would you draw a cat head, you could do it in text like: "a big circle as the head, 2 small circles as the eyes, 2 triangles for ears, 3 lines on each side of the mouth as moustaches, etc..."
Hmm, sure. I'm still surprised - it also has to say where they are in coordinate space. It feels like the way genAI works ("what comes next") is not amenable to this use case (demonstrably I'm wrong, of course).
I remember when I was learning WebGL/OpenGL and had to draw some test shapes to test my shader, I would manually think what the vertex positions should be to draw a triangle, a pyramid, etc. I think for AIs it's quite easy, because most are quite decent at math, and have been trained on many geometry problems, and probably also a lot of OpenGL code too, and 3D assets.
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