Sam Altman: local inference is a 'terrible allocation' of scarce DRAM, sparking debate
mmitchell_ai · x · 2026-10-31
Sam Altman argued that local inference is a poor allocation of scarce resources: open-weights models don't mean everyone should run inference on their own devices, since the world's limited DRAM supply sitting in personal machines used 5% of the time is terribly inefficient — maximum cloud utilization makes more sense in a supply-constrained environment.
maxspero amplified the quote with a sarcastic extension (confiscate everyone's devices into data centers to automate more labor). The take clashes directly with the on-device AI narrative and is drawing pushback.
Related event: Altman Calls Local AI a Waste of DRAM, Community Pushes Back(21 posts)→
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