This week: I talk about the lack of apparent progress in opponent AI in games, why that is, and what challenges we might face if we wanted to put REAL AI (such as we have so far) to work playing games.
For the record: The description I gave for how deep learning works is pretty sloppy. So don’t read that and think you know what deep learning is. It’s actually way more complex than I made it sound. You’ve got to understand something really well before you can translate it into plain language, and I am pretty far from an expert in this stuff. The article still works (because my points aren’t based on HOW deep learning works, only on the expense and effectiveness of it) it’s just that I want to make clear that my explanation is a gross over-simplification.
Even allegedly smart people can make life-changing blunders that seem very, very obvious in retrospect.
Batman: Arkham City
A look back at one of my favorite games. The gameplay was stellar, but the underlying story was clumsy and oddly constructed.
The Strange Evolution of OpenGL
Sometimes software is engineered. Sometimes it grows organically. And sometimes it's thrown together seemingly at random over two decades.
PC Hardware is Toast
This is why shopping for graphics cards is so stupid and miserable.
The No Politics Rule
Here are 6 reasons why I forbid political discussions on this site. #4 will amaze you. Or not.