Thermodynamic computing uses physical circuits that changes in response to noise, such random thermal fluctuations in the environment, to perform low-energy computations. A recent spate of experiments, theories and prototype hardware have shown it’s especially good at randomization tasks, and may be equally good at diffusion model tasks (e.g. image generation) in the future.

  • XLE@piefed.social
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    2 days ago

    To be fair, nuclear energy need not be “for AI” either. I just find it ironic that these technologies and explorations only come up because the industry demands it… Sort of. AI companies are hoarding GPUs they haven’t even installed, and rapid improvements just cause them to lose value even faster.

    In a better world, the whole “for AI” thing wouldn’t even be a factor.