Seymour Papert

And it would be really interesting to get their insights.

The other person that I wrote about was Professor Seymour Papert.

And it'd be fascinating to get his insights.

Because he was all about that action.

And that is where AI has got a long way to go in terms of it needs to be shaped.

It needs to be shaped so that we don't have the AI that is just the straight productivity tools.

We have the intelligence underneath there being informed by the Seymour Papert approaches, by what the different command terms mean and how to apply them, by what this unit is related to in the curriculum.

And so that as a learning journey is going, it's able to be guided to where in the learning journey the student is at.

It caused a massive stagnation in AI research.

In fact, prominent figures like, uh, Marvin Minsky and Seymour Papert actually wrote a whole book mathematically proving that perceptrons were fundamentally incapable of solving certain basic logic puzzles.

Just because they couldn't learn those hidden features.

Exactly.

We have the theory.

It makes logical sense on paper.

But as we know, the perceptron made sense on paper too, right up until Minsky and Papert proved it was a dead end.

Does back propagation actually work on a problem that those rigid perceptrons fundamentally couldn't solve?

We learn all the time.

But we have been institutionalized, and when we are institutionalized, uh, Seymour Papert has a beautiful, beautiful phrase.

He says, "When we get to school, then we are taught to being taught instead of how to learn." So we are being taught on how to be taught, meaning that education h- comes from outside, but learning is intrinsic.

Learning belongs to the individual, and the brain is always learning.