Remix clone Hacker News

With a standardized diffusion model on the receiving end, and a starting point image (maybe 16x16 pixels) with a fixed seed, we could send images with tiny amounts of data, with the client deciding the resolution (deciding how much compute to dedicate) as well as whatever local flavor they wanted (display all images in the style of Monet…) bandwidth could be minimized and the user experience deeply customized.

We’d just be sending prompts lol. Styling , css, etc all could receive similar treatment, using a standardized code generating model and the prompt/seed that generates the desired code.

Just need to figure out how to feed code into a model and have it spit out the prompt and seed that would generate that code in its forward generation counterpart.

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pitched a day ago | parent [-]

To consistently generate the same image, we’d all have to agree on a standard model, which I can’t see happening any time soon. They feel more like fonts than code libraries.

	▲	K0balt 17 hours ago \| parent [-]
		I mean, yeah, but here we’re talking about a knowledge based compression standard, so I would assume that a specific model would be chosen. The interesting thing here is that the model wouldn’t have to be the one that produces the end result, just -a- end result deterministically produced from the specified seed. That end result could then act as the input to the user custom model which would add the user specific adjustments, but presumably the input image would be a strong enough influence to guide the end product to be equivalent in meaning if not in style. Effectively, this could be lossless compression, but only for data that could be produced by a model given a specific prompt and seed, or lossy compression for other data. It’s a pretty weird idea, but it might make sense if thermodynamic computing or similar tech fulfills its potential to run huge models cheaply and quickly on several orders of magnitude less power (and physical size) than is currently required. But that will require nand-scale, room temperature thermodynamic wells or die scale micro-cryogenic coolers. Both are a bit of a stretch but only engineering problems rather than out-of-bounds with known physics. The real question is whether or not thermodynamic wells will be able to scale, and especially whether we can get them working at room temperature.