Status:: #🌱 Tags:: #💡 Links:: <% tp.file.cursor(4) %> ___ # Global and local maxima > We may need to temporarily worsen our solution if we want to continue searching for improvements. » Brian Christian and Tom Griffiths At a local maxima things are as good as they get with a current structure but in order to improve we must change the way we are doing things. This often means we must make our situation temporarily worse to improve from where we were before. This reminds me of Alex Hormozi's insight of the learning loop being fail, learn, succeed, become complacent, and then fail again. The goal is to make the period between complacency and failure as small as possible.