Too much efficiency countering too much efficiency makes everything worse. This whole thesis easily tips over into a semantic gobbledygook, as efficiency is no

Too much efficiency countering too much efficiency makes everything worse. This whole thesis easily tips over into a semantic gobbledygook, as efficiency is not a property of the larger world, but an utter contrivance of thought. Focus on anything to the exclusion of everything use and things are going wrong. How has the obviousness of this observation has turned into a breakthrough? AI is the perfect nexus for such a discovery: trying to optimize a system when you don't understand how it works naturally has pitfalls. So what can it mean to try to mathematically formalize a misunderstanding? Maybe there's a true breakthrough lurking near this topic: that all understanding is incomplete, so look for guiding principles of approximation? The author is right to call out the forest for the trees. — Web Design: The First 100 Years https://idlewords.com/talks/web_design_first_100_years.htm https://idlewords.com/talks/web_design_first_100_years.htm How the SR71 Blackbird Works https://m.youtube.com/watch?v=gkyVZxtsubM https://m.youtube.com/watch?v=gkyVZxtsubM