For any pattern, constant, irrational, etc, in math, there exists a set of formulas that models it up until n. It still is a cool little Riemann sum in this paper
I'm not convinced that functional programming will grow in terms of devs using it daily, but it has been very useful for myself in certain contexts (especially when I wrote math based libraries using permutations, heavy recursion, etc). The results of this seminar are awesome!
This is a great example of why AI innovation is not moving at the pace we are told to believe. This is using the same basic algorithms we've known about for decades, just more compute and differently formulated problems. We need a paradigm shift!
The internal combustion engine seems to have been milked for all the efficiency our current materials can get out of it, while new materials and economies of scale in solar tech keep pushing prices lower. However, material science could also revolutionize the efficiency of engines and make them cost competitive with solar again. Solar-ification seems to be the trend, but it is not guaranteed.