The cost function of an "AI CEO"
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- The cost function of the CEO is a deeply nested function, as for example revenue is dependent on multiple factors like customer growth, operational costs etc. In practice this function is nested to the lowest possible point in a tree of dependents. No coincidence that best CEOs know how they companies work on lowest levels and understand the constrains and incentives there.
- Where is the boundary of AI CEO? Should we make the boundaries? Human is restricted to 18h awake time, single threaded processing, thats why we need to divide the workload. Is same thing really needed with AI? (assuming all layers of the stack are AI managed already)
- How to validate that decomposed elements of the cost function, (like the customer growth and operational costs revenue) provide valid equation? The cost function should take into account things like reconstruction loss minimization, to ensure that model is not delusional and new dependencies are valid (problem discovery).