How to Learn in the AI Age? with Ludwig & Lazarz

if you've been around here for a while you know i love learning in all its form synthetic biological metaphysical all of it i also know that there's a lot of doom these days about like what even is the point of learning if like ai can do so much i really think that like learning is one of the most beautiful capability of humans.

And it's something that should be understood on a personal level and honed throughout life.

So I decided to get on the ground and explore how technical people from different backgrounds are learning in the current AI era that we're in and how they see the usage of such a technology to advance their own understanding.

To do so, I brought two of my good friends with literally completely opposite background to discuss it in like a two hour long I don't think I could have taken people with more different background than that.

So the first one is Ludwig, which if you're around the tech Twitter area, you might know him for his very no bullshit commentary on the often overhyped Zeitgeist.

Ludwig is a very interesting case since he dropped out at 15, taught himself to code as a kid, like building his own computer kind of stuff, and now work on widely abstract math as a researcher of sorts.

Kind of like a hustling tech kid genius situation over there.

Then we have Mikolaj, who went through the full academic route, a bit like me.

He has been doing physics in his bachelor, then neuroengineering at the Swiss Federal Technology Institute of Lausanne, EPFL, and has been published in NeurIPS.

Actually, I identify a lot with Mikolaj in the way he thinks about learning in general and academia.

So it's a slight balance.

Both are great guys to follow on Twitter, by the way.

You should do it.

I highly recommend it.

In the discussion, we're going to get into whether formal education is even worth it anymore, how you should decide what to learn when nobody

is giving you a syllabus or a curriculum,

whether putting 10,000 hours into mastering something still pays off in this LM AI era, and what's certainly worth knowing that was useless a few years ago.

Then we're going to go deep into a subject that I really like, which is the difference between biological versus machine intelligence and why I like, spoiler, I think that living cells clearly outclass anything we've built synthetically.

And finally, we'll close on a proper discussion about like all the FOMO that a lot of youngster out there in tech have at the moment and what to do about it.

It's a long one and we go off in tangent, but there are a lot of like learning gems in there in my, again, humble opinion.

So grab like two liter of whatever you're drinking and like, let's get into it.