I think when the hype dies down in a few years, we’ll settle into a couple of useful applications for ML/AI, and a lot will be just thrown out.
I have no idea what will be kept and what will be tossed but I’m betting there will be more tossed than kept.
Snort might actually be a good real world application that stands to benefit from ML, so for security there’s some sort of hopefulness.
I recently saw a video of AI designing an engine, and then simulating all the toolpaths to be able to export the G code for a CNC machine. I don’t know how much of what I saw is smoke and mirrors, but even if that is a stretch goal it is quite significant.
and then simulating all the toolpaths to be able to export the G code for a CNC machine. I don’t know how much of what I saw is smoke and mirrors, but even if that is a stretch goal it is quite significant.
<sarcasm> Damn, I ascended to become an AI and I didn’t realise it. </sarcasm>
An entire engine? That sounds like a marketing plot. But if you take smaller chunks let’s say the shape of a combustion chamber or the shape of a intake or exhaust manifold. It’s going to take white noise and just start pattern matching and monkeys on typewriter style start churning out horrible pieces through a simulator until it finds something that tests out as a viable component. It has a pretty good chance of turning out individual pieces that are either cheaper or more efficient than what we’ve dreamed up.
