As a hobbyist that has been my perception of the situation as well, though I wasn’t sure if I was just missing something.
The potential is immense and exciting, but try as I might, I can’t seem to make even fairly simple things work reliably as I want them to.
One thing I love about embedded projects is that you can achieve pretty incredible reliability because everything can be so dialed in and isolated from points of failure in, say, an operating system. Trying to use ML for simple tasks felt like it eliminated that and introduced seemingly arbitrary failure into projects I really needed to work perfectly.
Again, just a hobbyist, so I can’t make any broad statements. It seems to align with what you’re saying though. Once we get past this hump and have more powerful/effective models at a reasonable price point, I feel like it could be transformative. At the moment it’s still extremely interesting and fun to experiment with.
The potential is immense and exciting, but try as I might, I can’t seem to make even fairly simple things work reliably as I want them to.
One thing I love about embedded projects is that you can achieve pretty incredible reliability because everything can be so dialed in and isolated from points of failure in, say, an operating system. Trying to use ML for simple tasks felt like it eliminated that and introduced seemingly arbitrary failure into projects I really needed to work perfectly.
Again, just a hobbyist, so I can’t make any broad statements. It seems to align with what you’re saying though. Once we get past this hump and have more powerful/effective models at a reasonable price point, I feel like it could be transformative. At the moment it’s still extremely interesting and fun to experiment with.