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Sam Altman: All the RAM Should Belong to Me, So I Can Charge People to Use It

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Screenshot of Sam Altman: All the RAM Should Belong to Me, So I Can Charge People to Use It

On the Cheeky Pint podcast, OpenAI CEO Sam Altman argued that it is wasteful for individuals to keep large amounts of DRAM in personal computers when the memory is used only occasionally. With memory supply constrained, he said, computing resources would be allocated more efficiently if they were concentrated in cloud data centers, where utilization could be higher. He challenged the assumption that open-source AI models running locally would reduce demand for centralized computing, suggesting instead that widespread local inference ties up scarce memory.

The criticism is that this efficiency argument also serves OpenAI’s commercial interests. The company depends on centralized, closed-source services, and shifting computing from personal devices to its data centers could make people more reliant on paid cloud AI for everyday tasks. The piece links that model to OpenAI’s reported plan to spend $750 billion on infrastructure through 2030, arguing that data-center demand is helping drive up prices for DRAM and other components, including those used in phones. It contrasts the promise of convenient, universally available cloud computing with the costs of concentration: consumers may pay more for hardware now, then increasingly pay providers to perform tasks they could otherwise handle locally. Its central concern is that Altman presents resource centralization as a global efficiency measure, while the arrangement would also expand OpenAI’s control and revenue.

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