| > Until someone comes up with a better definition of intelligence that's what I'm sticking with. You'll get a capability demo instead. It wont fail to impress. Definitions and designs are for another day. > I think you're looking for an elegant solution right out of the box - the "one algorithm to rule them all" and I don't think that is feasible from an engineering perspective if for no other reason than no singular system has anything near the data collection nodes needed for specificity on the range of tasks that would suffice any definition of "General." What else is one looking for who claims they're trying to solve the Intelligence problem? Marketing an optimization algorithm as the next coming might make you rich in the short term but it doesn't bring you closer to the truth. It does in fact take your further away. So, 'the elegant solution'/'the hard problem' was the only thing I set out to tackle some years ago. Otherwise, i'd have been wasting my time/not being truthful with myself. It's feasible from a research and engineering perspective. Few commit themselves to the TRUE task and the likelihood of failure. I was ok with that it and stuck with it. I self-funded my work. It mainly centered on research. Thus, there were no exits. I either saw it through and achieve it or I didn't. As far as : > no singular system has anything near the data collection nodes needed for specificity on the range of tasks that would suffice any definition of "General." Sure it does. Look in the mirror and log onto the web. I've let the misses play online for a bit now ;). > Having raised three other humans and observing them while building DL systems myself for a living, I feel more strongly everyday that human intelligence is a hodgepodge of "weak AI" systems glued together with an exceptionally efficient executive function. AGI is as much a community building and humanity wide input collection challenge as it is a math problem. We need to think about it that way. My graduate work centered on the underpinnings of DL (Distributed Optimization). After years of industry experience, I searched for a new challenge. After some open ended research in physics/photonics, I came to Artificial Intelligence. I scratched my head for 3-4 months as to why (Distributed Optimization) was being called Artificial Intelligence. I took the broad lot of it and threw it in the trash as prominent figures are only now stating :
https://www.axios.com/artificial-intelligence-pioneer-says-w... You're thinking about AGI as if its a chain of DL systems because that's what's made you money and where your work has centered on over the years. I took the broad majority and trashed it as Hinton now indicated others should do and started from scratch. I have no such bias. However, as my graduate work centered on the fundamental underpinnings of statistical optimization / distributed optimization, I know exactly what its limits are. The human race is far more than a hodgepodge of optimization algos w/ an executive function (whatever that might be given the clearly varied forms of it). |
I deeply regret not studying Computer Science but yours seems to be deeper than that. I'd be very interested in the courses you took.