[ben_w]

3 lines? That's still going to be oversimplifed to the point of being wrong, but OK.

Make a bunch of neural nets to recognise every concept, the same way you would make them to recognise numbers or letters in handwiting recognition. Glue them together with more neural nets. Put another on the end to turn concepts back into words.

For a less wrong but still introductory summary that still glosses over stuff, about 1.5 hours of 3blue1brown videos, #4-#8 in this playlist: https://youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_...

[nottorp]

Thanks!

... Oh interesting. And those concepts are hand picked or generated automatically somehow?

> For a less wrong but still introductory summary that still glosses over stuff, about 1.5 hours of 3blue1brown videos

Sorry, my religion forbids me from watching talking heads. I'll have to live with your summary for now. Until I run into someone who condensed those 1.5 hours in text that takes at most 30 min to read...

[ben_w]

> Oh interesting. And those concepts are hand picked or generated automatically somehow?

Fully automated.

> Sorry, my religion forbids me from watching talking heads.

What about professional maths communicators who created their own open sourced python library for creating video content and doesn't even show their face on most videos?

[nottorp]

My problem is with the time wasted compared to written info, not with talking heads per se.

[ben_w]

He doesn't waste time. No fluff.

You're unlikely to get a better time-quality trade-off on any maths topic than a 3blue1brown video.

He's the kind of presenter that others try to mimic because he's so good at what he does — you may recognise the visuals from elsewhere because of the library he created[0] in order to visualise the topics he was discussing.

[0] https://docs.manim.community/en/stable/faq/installation.html

There's also a playback speed slider in YouTube. I use it a lot.