nosuchanon

u/nosuchanon@lemmy.world
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This was always the design post-WW2 reconstruction. The US had the only working economy that was not destroyed by the war, and basically wrote the rules in its favor.

Why people forget that was the initial set up, I don’t understand. The EU was ALWAYS going to be subservient to US demands because the US took control of the global money supply.

A strong EU is not in the best interests for US global strategy. The whole point is for the US to force its “allies” into action against China and Russia. The US doesn’t want an equal partner ship with the EU, it wants economic control of its vassal and an indirect rule. Let the EU countries squabble over details and the management of the bureaucracy while the US sets the agenda.

It’s not that complicated. Recreating training data via distillation is basically asking structured questions and recording the responses and reformatting that to use as cleaned “good” training data. Much less energy and compute intensive than creating the training data on your own.

I think I remember reading somewhere how Chinese research’s do this by basically using bots and spreading out the distillation to many source queries.

https://www.latimes.com/business/story/2026-04-07/china-is-copying-u-s-ai-models-american-companies-say-it-is-costing-them-billions-of-dollars

Distillation is a technique where an older “teacher” AI model is used to train a newer, “student,” model that replicates the capabilities of the earlier system — often at a much lower cost than producing an original model from scratch. Some forms of distillation are widely accepted and even encouraged by AI labs, such as when companies create smaller, more efficient versions of their own models, or allow outside developers to use distillation to build non-competitive technologies.

Basically one AI asks questions and records the answers to recreate training data without massive compute for training data.