NN also do not reduce/idealize/simplify, explicitly generalize and then run the results as hypothesis forks. Or use priors to run checks (BS rejection / specificity). We do.
This is very important. I plan to follow up with another post about the necessary role of hypothesis amplification in AGI.
This is very important. I plan to follow up with another post about the necessary role of hypothesis amplification in AGI.
Edit: Done.