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One of the saddest things about the field of AI is how ahistorical and siloed it is. Some of the key debates of our day (e.g. innate priors vs "blank slate" minds) have been going on for many decades, across multiple fields, and deep learners have *zero* knowledge of this context
Turns out that majoring in gradient descent studies is a poor ersatz for a working knowledge of the history of AI progress, neuropsychology, developmental psychology, and mathematics
The key issue here is that AI related majors have been booming since 2014, by a large multiple, and they've been largely primed to believe "[SGD] is our answer, you don't need to know about anything else". That's intellectual blinkers, not an education
Beyond that, this myopic focus leads many to immediately believe that a deep network is the best possible solution (when a vast number of existing problems are best solved by classical approaches)
I'd argue those topics are not resolved in the same sense that Lamark's theories were "resolved" by being rejected. Even if we disagree with it, there's no measurable rejection of the e.g. dualist hypothesis or other theory of mind theories. Hence it remains open to debate.
Re your deleted tweet: One has to be careful in making sure that while calling out the snake oil salesman (and buyers etc), genuinely curious people w/o the resources don't feel left out. Some of the biggest idiots I see on Twitter are very "educated" "distinguished" researchers.
A lot of the times this whole discussion tends to become very polarized and un-nuanced. It is much more complicated than that. Some formal heavy weight degree doesn't necessarily buy you curiosity (which is the only way to an actual education).
Counter* intuitive. WTB edit function. Stupid brains and their rapid deployment of inputs for validation! The irony of intelligence being perceived as calculated insights, and the reality of "artificial" intelligence being unapologetically wrong until it's right.
I’d also add philosophy of mind, the few philosophy classes I took added a lot to my mental models of AI and consciousness
Thank you!!
You left out computational statistics.
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