Sarah Friar, CFO of OpenAI, proposes a practical scorecard for evaluating AI investments. The framework emphasizes useful work completed, cost per successful task, dependability, and return on compute. Its central shift is from judging AI primarily through model demonstrations or isolated benchmarks to assessing whether systems reliably complete valuable work at an acceptable cost. The abstract does not provide the scorecard’s exact formulas, benchmarks, or implementation guidance, so those details require reading the original article.
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