Answered raw tape
D 4 · C 5 · P 4 · Cm 4 4.30
Q along with this, concretely, where are we right now in this evolution? And there's schools of thoughts that can disagree with this, but just simplify things. Machine learning, deep learning as a deeper evolution of machine learning, and then sort of like a full AI on a continuum. Is that sort of a fair way to start looking at it, and where do we kind of stand on that continuum?
A So I, I have a, I have a model which says that, um, you know, AI and machine learning are really quite distinct things. Um, you know, AI is all about, uh, building systems that can In some way, uh, replicate human intelligence or explore the spaces of possible minds, uh, in Murray's phrase, whereas machine learning is a very specific, uh, technique about, uh, building a system that can make predictions and learn from the data itself. So there are AI efforts that have no machine learning in them. I mean, Psyc, uh, CYC is a great example. You know, you try to, uh, catalog all the knowledge in the world, and I think it's, you know, it's, it's the, the, the mindset of the market, uh, to Combine the two, because it, it, it might give, give something more attention.
AI assessment note: “AI and machine learning are really quite distinct things.”
Partly raw tape
D 3 · C 4 · P 4 · Cm 4 3.70
Q along with this, concretely, where are we right now in this evolution? And there's schools of thoughts that can disagree with this, but just simplify things. Machine learning, deep learning as a deeper evolution of machine learning, and then sort of like a full AI on a continuum. Is that sort of a fair way to start looking at it, and where do we kind of stand on that continuum?
A So I, I have a, I have a model which says that, um, you know, AI and machine learning are really quite distinct things. Um, you know, AI is all about, uh, building systems that can In some way, uh, replicate human intelligence or explore the spaces of possible minds, uh, in Murray's phrase, whereas machine learning is a very specific, uh, technique about, uh, building a system that can make predictions and learn from the data itself. So there are AI efforts that have no machine learning in them. I mean, Psyc, uh, CYC is a great example. You know, you try to, uh, catalog all the knowledge in the world, and I think it's, you know, it's, it's the, the, the mindset of the market, uh, to Combine the two, because it, it, it might give, give something more attention.
AI assessment note: “AI and machine learning are really quite distinct things.”
