TL;DR -- AI is more than ML. For one thing, people need to be included. A bucket-of-bits oracle never was the goal for reasonable folks.
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AI was pirated by the machine learning people. Forget AGI. AI is good enough if we remember that "intelligence" is more than we have seen represented on the planet.
Too forward thinking? Nope. We will get to discussing "truth engineering" at some point. ML optimizes without caring.
Engineeing and economics go hand in hand.
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Aside: After posting the above article, there was a comment from Tomek which touts being an "AI" company. Will look into this further, but Tomek Venture came up with "whois" as well as several others who have Tomek as a name. With respect to the extension ".ai", Wikipedia is a good source. Have not been paying attention, though I did run into this earlier), ".ai" has been a popular extension, since 2009, for its possible association with "AI" the subject of the above article. Tomek is leveraging on that with an automated interface. Perhaps, will look at it further. Otherwise, doing a survey of this type of activity would be more beneficial as it's going to get more prevalent. GitHub's pilot is an example of enablers. To think, in 2012, I was looking at coding manually. Still will. See Content vs configuration. For now, AI, of all sorts digital, arises from buckets-of-bits whose latest magical behavior with respect to text processing has no intent behind it. We're talking a "stochastic parrot" (in the words of some) and similar. That does not mean that meaning may not formulate from the mix, whether good or bad. But, reasoning as enlightenment liked to tout? Not. On the other hand, knowledge-based approaches do a better approximation, with a good example being knowlege-based engineering (KBE).
Remarks: Modified: 12/30/2023
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