The Navier–Stokes Millennium Prize Problem

Re:The Navier–Stokes Millennium Prize Problem by _bobm on Wednesday September 09, 2026 @03:10AM (#49622432)

Hah, what is the infrastructure which takes user sessions (chats with API keys, directions, navier-stokes math/progress) and regurgitates this into pre-training, RL, fine-tuning data? Or better, in-context data?

People talk about the "compute" but what about the "storage"? Is storage exponentially greater, or soon to be, than the compute? Is the storage going to slow down growing to some constant rate, i.e. all people on earth using chatgpt, or no, on the contrary, it will keep growing?

If there were any shady business, I do not condone it, but technologically we are not there yet for said shady business to happen.

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Re:The Navier–Stokes Millennium Prize Problem by awestroke on Wednesday September 09, 2026 @03:13AM (#49622473)

AI companies use heuristics to filter sessions, then llms to further filter, then use various techniques too anonymize the session, then process it and add it to various datasets for further selection and refinement. they don't need huge storage for this.

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Re:The Navier–Stokes Millennium Prize Problem by _bobm on Wednesday September 09, 2026 @03:32AM (#49622670)

what is behind "process" it and "further selection" and "refinement" and how big are these "datasets"? These companies ship the encrypted session to you not because they want to.

I agree that they have pipelines for what you are describing but how effective they are at scale and at focusing is the question.

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