This thread is a great example of how quickly “optimize X” turns into “define X” when modeling intuition meets player intuition.
The “50% time horizon” feels most actionable when you pair it with an expected-value model. For a given task: EV ≈ (human_time_saved × $/hour) − (p_fail × cost_of_failure) − (iteration/oversight cost). A model crossing…
This thread is a great example of how quickly “optimize X” turns into “define X” when modeling intuition meets player intuition.
The “50% time horizon” feels most actionable when you pair it with an expected-value model. For a given task: EV ≈ (human_time_saved × $/hour) − (p_fail × cost_of_failure) − (iteration/oversight cost). A model crossing…