I remember that I once planned to replace my laptop display with a Pixel Qi drop-in (there were some replacement screens for standard laptop screens if I remember correctly). Still like the idea of a reflective mode for outside use, although I wonder whether that would have helped my productivity at programming assignments back then..
Money, like medicine, can turn poisonous in excessive doses. And too much cash too early often becomes the very thing that transforms a promising startup into a lethargic flop. This isn't a theoretical problem. I’ve seen it happening consistently for the past 5+ years, across sectors, with predictable and devastating results.
Isn’t this “finding” (the fact that simple rulesets yield complex behavior that is hard to predict and/or derive using all kinds of models) the point that dr. Stephen Wolfram has been making for years?
> the fact that simple rulesets yield complex behavior that is hard to predict and/or derive using all kinds of models
I don't think this is the paper's "finding" at all. Sure, the Game of Life indicates that simple systems can result in complex, emergent behavior. But, exactly for being a simple set of rules, it is trivial to create a Game of Life implementation (or following this paper's definition, to solve the problem of predicting the nth next state, given the current state).
The findings are rather that neural networks, despite its universality and prediction power, have a hard time learning parameters that solve this trivial task using a minimal architecture, so they require a larger amount of parameters or a very good initial set of weights ("lottery ticket").
In my experience, Progress is not very OSS friendly. Prime example: they don’t even have an open CLIENT driver to connect to their database. You need a license just to connect.
