Many believe that the field of AI is the answer to the question "how can we create artificial (human) minds?". That's also the question that led me here. But today, I think AI is more pragmatically the answer to the question: "how can we make software do more?"
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So AI as in Advanced Informatics.
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i think that first question drew a lot of us to this field, but quickly after realizing that the actual state of things are not at all like that, it makes it somewhat even more exciting exactly because of that disenchanted feeling (at least for me)
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Yeah, I agree - it feels like a much more tangible goal, one that many of us can contribute to in a meaningful way.
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"In silico decisionmaking"
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I'm genuinely interested in both. I think a process of maturation that every AI researcher goes through - or should go through - is to realize that these are not the same question.
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Fully agree, moreover, their solution don’t naturally converge as many expect: “as long as we build smarter solutions we are approaching the target of true intelligence”
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I’m not sure I would use the word mind — I think it was more about emulating cognition.
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Why change the goalposts? AI can stay an ambitious goal, we also have ML as a well defined term.
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To be useful, a goal must be well defined, and progress to it measurable, e.g gradient Otherwise, a proxy goal or vector is more informative, e.g automate new & more general tasks I agree: —Got in AI to create Johnny 5 —AI is automation; that is goodhttps://twitter.com/j_mora/status/1347815375078109184 …
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