[sandoooo]

I'm excited about future applications that strap this onto some relatively simple, logically consistent, non-AI number-crunching program. As a toy example, Scott Alexander trained it to output chess moves in a consistent manner that avoids nonsensical moves, but it can't win against competent human players. If you strap it onto a chessbot during both training and use I'm fairly sure it'll easily beat human grandmasters.

So what you have here is a human compatibility/abstraction layer for programs. What can you do with this strapped to Wolfram Alpha? Or trained with a Github dataset?

Put another way, apparently this does linguistic style /convincingly humanlike writing without being able to reason about cause/effect or basic arithmatics. But we already have programs that does cause/effect and arithmetics, quickly and at 100% accuracy. Now we just need to combine the two.