I'm am both. Why I'm pro-AI: Neural nets. I worked on object detection for several years at one company using traditional methods, predating TensorFlow by a f

I'm am both. Why I'm pro-AI: Neural nets. I worked on object detection for several years at one company using traditional methods, predating TensorFlow by a few years. We had a very sophisticated pipeline that had a DSP front end and a classical boundary detection scheme with a little neural net. The very first SSDMobileNet we tried blew away 5 years worth of work with about two weeks of training and tuning. Other peers of mine work in industrial manufacturing, and classification and segmentation with off the shelf NN's has revolutionized assembly line testing almost overnight. So yes, DNNs absolutely do some things vastly better than previous technology. Hand's down. Why I'm Anti-AI: hype The class of problems addressed by recent developments in NN/DNN software have failed horribly in scaling to even modestly real-world, rational multi-tasking. ADAS level 5 is the poster child. When hype master Elon Musk backs away, that is telling. We're on the bleeding edge here, IMHO we NEED to try everything. There's no telling which path has fruit. Look at elliptic curves: half a century with no applications, now they are the backbone of the internet. Yes, there will be BS, hype, snake oil, vaporware, but there will also be some amazing tech. I say be patient and skeptical.