Peter Norvig

But basically, it was very limited in the flow you could do.

But basically, it was very limited in the flow you could do.

And now, with these large language models, you have a much better chance to customize the results for the student.

And now, with these large language models, you have a much better chance to customize the results for the student.

both in terms of the learning experience, and then I think also in terms of the motivation for the student.

both in terms of the learning experience, and then I think also in terms of the motivation for the student.

So that was the one thing we learned in doing the class is that we came in saying, well, our job is really information.

So that was the one thing we learned in doing the class is that we came in saying, well, our job is really information.

If we can explain things clearly, then we're done and we're a success.

If we can explain things clearly, then we're done and we're a success.

And we soon realized that that's only part of the job.

And we soon realized that that's only part of the job.

And really the motivation is more important than the information.

And really the motivation is more important than the information.

Because if a student drops out, it doesn't matter how good our explanations are.

Because if a student drops out, it doesn't matter how good our explanations are.

If they're not watching them anymore, it doesn't do any good.

If they're not watching them anymore, it doesn't do any good.

And so I think AI has this capability to motivate much better, to allow students to do what they're interested in rather than what the teacher says they should be interested in.

And so I think AI has this capability to motivate much better, to allow students to do what they're interested in rather than what the teacher says they should be interested in.