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Published equation contexts

ℓt\ell_t

Why this formula appears here

where ℓt\ell_t is learning from agent-assisted work and dtd_t is depreciation of skills no longer exercised. Both depend on workflow. Requiring developers to predict behavior, inspect evidence, and explain accepted changes can raise ℓt\ell_t . Delegating opaque work and reviewing only summaries can raise dtd_t .

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tt

Symbol t

t is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

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Published contexts (2)

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ℓt\ell_t

Equation 43 · AI Industry

The Economics of Codex: Tokens, Sandboxes, Review Time, and Software Throughput

This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text.

where ℓt\ell_t is learning from agent-assisted work and dtd_t is depreciation of skills no longer exercised. Both depend on workflow. Requiring developers to predict behavior, inspect evidence, and explain accepted changes can raise ℓt\ell_t . Delegating opaque work and reviewing only summaries can raise dtd_t .

Equation guide → · Article →
ℓt\ell_t

Equation 45 · AI Industry

The Economics of Codex: Tokens, Sandboxes, Review Time, and Software Throughput

This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text.

where ℓt\ell_t is learning from agent-assisted work and dtd_t is depreciation of skills no longer exercised. Both depend on workflow. Requiring developers to predict behavior, inspect evidence, and explain accepted changes can raise ℓt\ell_t . Delegating opaque work and reviewing only summaries can raise dtd_t .

Equation guide → · Article →