Probabilistic AI can't be AI

TL;DR: "I'm not an AI/ML anything by any stretch of imagination"

My personal suspicion is that it's an ensemble approach involving both probabilistic and symbolic methods. But I think that human intelligence is largely driven by probabilistic methods.

But, I also "am not an AI/ML anything", I just read a lot on the subject and think about it a lot.

This article is deeply flawed. First of all, it's premise is flawed; secondly, it's supporting evidence is flawed.

Example from supporting evidence:

"then people would be naturally great at probability, and we know we suck at probability"

No, this does not follow at all. There is absolutely no reason to assume that a probabilistic algorithm would somehow lead to better results when dealing with probabilities at a much higher level.

Example from premise:

- No argument for why "if real intelligences aren't probabilistic, therefore probabilistic intelligences can't work" is given.

- Just because your models come from statistical learning (such as SVMs or Bayesian methods, as the author names) does not mean your resulting algorithm is probabilistic.

Flagging.

I disagree with some of the premises.

We are great at probability, we compute it unconsciously. Every person knows the approximate probability of flipping a coin to show heads, pulling a card from a stack, or being rejected/successful when asking a date out (we always say our 'chances' are good/bad, depending on factors we think are important).

In our day to day lives, many decisions are driven by what we think the 'odds' are of our endeavor being successful.