if we’re not just optimizing for predictive power, then we need some other design criteria, some other criteria for whether/how well the system is working.
Optimize for having a diverse range of models that all seem to fit the data.
How would that fix any of the problems we’ve been talking about?
Optimize for having a diverse range of models that all seem to fit the data.
How would that fix any of the problems we’ve been talking about?