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Published equation contexts

Ct=(πθ,t,Ht,Tt,Pt,Et,Vt,Ut)\mathcal C_t = (\pi_{\theta,t}, H_t, \mathcal T_t, P_t, E_t, V_t, U_t)

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A useful abstraction is Ct=(πθ,t,Ht,Tt,Pt,Et,Vt,Ut)\mathcal C_t = (\pi_{\theta,t}, H_t, \mathcal T_t, P_t, E_t, V_t, U_t). where πθ,t\pi_{\theta,t} is the model policy at time t ; HtH_t is the harness and its context/state machinery; Tt\mathcal T_t is the available tool set; PtP_t is the permission and sandbox policy; EtE_t is the execution environment; VtV_t is the collection of verification functions; and UtU_t represents user and institutional authority. The time index is essential. OpenAI can update the model, CLI, documentation, or cloud runtime without changing the product name.

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Published contexts (1)

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Ct=(πθ,t,Ht,Tt,Pt,Et,Vt,Ut),\mathcal C_t = (\pi_{\theta,t}, H_t, \mathcal T_t, P_t, E_t, V_t, U_t),

Equation 1 · AI Agents & Systems

OpenAI Codex as a Software-Engineering System: Models, Harnesses, and Evidence

This equation states an equality: the expressions on both sides have the same value under the article’s assumptions.

A useful abstraction is Ct=(πθ,t,Ht,Tt,Pt,Et,Vt,Ut)\mathcal C_t = (\pi_{\theta,t}, H_t, \mathcal T_t, P_t, E_t, V_t, U_t). where πθ,t\pi_{\theta,t} is the model policy at time t ; HtH_t is the harness and its context/state machinery; Tt\mathcal T_t is the available tool set; PtP_t is the permission and sandbox policy; EtE_t is the execution environment; VtV_t is the collection of verification functions; and UtU_t represents user and institutional authority. The time index is essential. OpenAI can update the model, CLI, documentation, or cloud runtime without changing the product name.

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