And the pattern of overselling A.I. continues. What we have accomplished in this generation is pretty good pattern recognition. Nice, but limited in its usefulness to obvious applications, like translation and image and audio classification. Go and Chess games are rule-constrained enough to be reducible to patterns, so it works for them too, giving a false impression of 'general AI'.
What's worse is that this approach seems to be a dead end, in the sense that it is only useful for pattern recognition, which can substitute for decision making only for extremely simple processes (absent a quantum leap in a range of technologies), and even then those kinds of applications are notoriously difficult to develop and maintain.
I look forward to the enormous benefits we will get from machine learning, as we are already seeing, but again, overselling it won't do us any good.
What's worse is that this approach seems to be a dead end, in the sense that it is only useful for pattern recognition, which can substitute for decision making only for extremely simple processes (absent a quantum leap in a range of technologies), and even then those kinds of applications are notoriously difficult to develop and maintain.
I look forward to the enormous benefits we will get from machine learning, as we are already seeing, but again, overselling it won't do us any good.