Sarah Guo is needling a piece of lab orthodoxy — that meaningful research requires frontier-scale compute — and pointing to Nick as the walking counterexample. On the merits, she has a strong case: much of the field's foundational work, from the transformer onward, came out of small teams with modest budgets, and recent efficiency-driven results have only weakened the 'you need a megacluster to matter' argument. That said, the claim deserves nuance — certain questions about training dynamics at scale and large-scale safety evaluation genuinely can't be studied without big clusters. The real stakes are structural: if critical research doesn't require frontier compute, then concentration of insight in a handful of labs is a choice, not a law of nature. Worth watching whether the promised demonstration actually lands.