AI cost per successful outcome is more useful than cost per model call

Описание и применение

<p>AI economics should include retries, failures, supporting software and human review rather than counting only the nominal model-call cost. A cheap attempt can still produce an expensive workflow when the success rate is low or review work is high.</p> <h2> What is actually changing </h2> <p>AI economics should include retries, failures, supporting software and human review rather than counting only the nominal model-call cost.</p> <p>The useful move is to treat this as an operating constraint rather than a slogan. Make the boundary explicit, decide what evidence would confirm the decision,

Задача

<p>AI economics should include retries, failures, supporting software and human review rather than counting only the nominal model-call cost. A cheap attempt can still produce an expensive workflow when the success rate is low or review work is high.</p> <h2> What is actually changing </h2> <p>AI economics should include retries, failures, supporting software and human review rather than counting only the nominal model-call cost.</p> <p>The useful move is to treat this as an operating constraint rather than a slogan. Make the boundary explicit, decide what evidence would confirm the decision,

Результат

<p>AI economics should include retries, failures, supporting software and human review rather than counting only the nominal model-call cost. A cheap attempt can still produce an expensive workflow when the success rate is low or review work is high.</p> <h2> What is actually changing </h2> <p>AI economics should include retries, failures, supporting software and human review rather than counting only the nominal model-call cost.</p> <p>The useful move is to treat this as an operating constraint rather than a slogan. Make the boundary explicit, decide what evidence would confirm the decision,

Доказательства

AI cost per successful outcome is more useful than cost per model call

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