Veritasium: What Everyone Gets Wrong About AI and Learning – Derek Muller Explains

Derek Muller from the Veritasium channel gave a great (and funny) talk[1] about how AI will not revolutionize education and I'll quote my favorite part: "The world is full of heavy objects; yet not everyone is ripped". Meaning that what fails with AI in education is also what fails in education without AI: lack of motivation that a good coach could provide. [1] ▶ this video

I am reminded of Veritasium: What Everyone Gets Wrong About AI and Learning (original video ▶ this video ) from a year ago. "The world is full of heavy things, and yet most of us aren't ripped." AI is an opportunity. On the one hand, it can be used to let our minds and social lives atrophy. On the other hand, it is an opportunity to help our minds grow. Most people will make the lazy choice. But you can choose to do otherwise. Take, for example, speeches. I do not let AI write my speeches. But my speeches are better for having been critiqued by AI. But the result is still my speech. My thoughts, my ideas, my words, and my meaning. Just improved with rounds of feedback about where it fell flat, where I was likely to lose people, and so on. Feedback that I had to fix. So do not let AI write your speeches. But do use it to push yourself harder.

Derek Muller of Veritasium has a presentation on why the promises of a revolution in education are never fulfilled. [0] His hottest take is we're already close to the optimal process for learning, so technology isn't going to improve it. Learning takes work, and no technology can do the work for you. [0] ▶ this video

▶ this video Veritasium's video: "Effort is the Algorithm". The world is full of heavy objects but how many of us are ripped ? -- Derek Muller

If anyone is interested in AI in relation to learning, I think the best take on that I've seen so far was from Derek (Veritasium) in this recent talk: ▶ this video It's a lot more balanced compared to the doomy attitude in the primary post.

This excellent presentation (Veritasium) is making much the same point (learning comes from “reps”). ▶ this video