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Comment by tluyben2 | Hacker News Reader

Yes, I understand that point, but all you explain and all I read about Dry can be done with a bunch of handcoded rules and some constraints engine or solver. The scepticism comes from everyone calling everything AI just because it attracts press + investors. I would love to (beta) test your solution whenever you are ready anyway.

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But I understand your reaction. I personally love AI and started working on it during the "AI winter" when everyone told me it was career suicide. I've been to AI conference where the keynote was on ordinary A/B testing, which Sir Francis Bacon invented ~400 years ago. Web developers have been using that for almost two decades, but it was presented as a new kind of AI magic just last year at a conference.

I majored AI as well in the AI winter, but now that it is hot again I still cannot see how it helps here, but I, as I too love AI, hope you show us something!

Even if you are correct about doing it with rules and a constraint solver, rule-based systems and constraint solving systems are all AI methods. Constraint solving especially is still a very active topic of AI research and something I myself researched once.

Yeah, I guess there is the sliding scale; I really find the term AI and now ML overused. For a subset of all these topics they are active research but for practical uses there are enough methods that have not been research for decade(s). Those I am referring to. As in the broad definition our MySQL auto optimizer is AI but they are just run of the mill algos everyone knows. Anyway; I am curious!

Yes, in a sense, all computing is AI. Alan Turing was explicit in his writings that he was trying to create machine intelligence and that he saw Turing Machines as a formalization of behavior he attributed to intelligence.

Thanks for the curiosity.

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