this post was submitted on 24 Oct 2025
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[–] Wheaties@hexbear.net 13 points 1 month ago (2 children)

With the cost of electricity becoming the dominant factor, China can effectively subsidize its entire technological ecosystem. While other nations are forced to choose between powering AI data centers or maintaining their industrial base, China is building the capacity to do both. The Chinese approach creates a virtuous cycle where cheaper energy allows for cheaper compute, which in turn accelerates breakthroughs in big data, machine learning, and even energy production itself. We’re already seeing this feedback loop in action. A research team recently used AI to control the ultra-hot plasma in the HL-3 tokamak reactor. By training an AI model, they were able to stabilize plasma in ways traditional, slower containment methods cannot. It’s a type of of a breakthrough that can unlock the next generation of power.

See, now this is the kind of thing "AI" is actually good for. You plug your sensors up, set the desired parameters, and do a bunch of statistical calculations until you get an output that checks the boxes. Of course, once the bubble pops, they'll have to start using a name that actually describes the programme. Something like Analytical Statistical Model or whatever.

[–] yogthos@lemmygrad.ml 7 points 1 month ago

Indeed, the whole LLM hype can't die down fast enough in my opinion.

[–] tricerotops@hexbear.net 5 points 1 month ago

learned model maybe. the term of art ive heard for neural networks that compress data for transmission is "learned compression".