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Wersja z dnia 13:08, 7 paź 2026 autorstwa Tipgf45eu9 (dyskusja | edycje) (Utworzono nową stronę "AI systems scaling used to be about throwing more GPUs and data at a problem, but now it's becoming more about efficiency and architecture—making models smarter rather than just bigger. We're seeing a shift from brute-force scaling to more thoughtful approaches like mixture of experts and better training techniques, which is crucial because the energy and cost of running massive models can't grow forever. It's a fascinating time where the race isn't just about si…")
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AI systems scaling used to be about throwing more GPUs and data at a problem, but now it's becoming more about efficiency and architecture—making models smarter rather than just bigger. We're seeing a shift from brute-force scaling to more thoughtful approaches like mixture of experts and better training techniques, which is crucial because the energy and cost of running massive models can't grow forever. It's a fascinating time where the race isn't just about size anymore, but about how gracef…

AI systems scaling 6