You might expect an expert from OpenAI to rely entirely on digital tools to learn faster. Andrew Mayne does the exact opposite.

Andrew is a true modern polymath:

And in this hope-inspiring set of conversations, this AI expert, innovator, magician, novelist and host of the OpenAI podcast shares his passion for memory techniques.

In addition to unfolding why practicing with older memory techniques still matters, he’s navigating the best of all possible worlds.

And he’s got me convinced that this combinatory approach is the best choice.

But never at the expense of preserving our age-old memorization techniques and learning tools.

Andrew’s exploration of AI and Memory Palace creation is nothing short of extraordinary, and just as thrilling as his novels given what he’s concluded so far.

So join in as we discuss the science behind why “easy” learning often fails.

And exactly how to build a bit of friction into your routine.

So that you retain more and enjoy new technologies without throwing the baby out with the bathwater.

https://www.youtube.com/watch?v=JlzD_6Olaqw

Why AI Expert Andrew Mayne Uses “Analog” Memory (New Conversation)

Since our last discussion on the intersection of AI and Memory Palaces (see below), Andrew has continued to push the boundaries of how we learn in a digital age.

But in this new episode, we take a surprising turn.

We aren’t just talking about the future. We are talking about the tactics of the autodidact and polymath in the here and now.

Andrew reveals why, despite working at the cutting edge of OpenAI, he often chooses “analog” tools to train his brain.

I’m talking about tools like:

Playing cards
Physical journals
Reading physical books
Having lots of conversations

We dig deep into role of friction in developing new memories and the science behind why “easy” learning often fails, and how you can use tools like ChatGPT and other AI tools to test your memory without becoming dependent on them.

You’ll also discover why an app-based Cloze test did not work for Andrew.

Missed our first conversation?

In this original interview, we established the foundation as AI was unfolding in real time.

Part One: The Intersection of AI & The Ancient Art of Memory

Ready to explore how AI and Memory Palaces can work together to unlock sharper and longer-lasting memory?

Listen in as we explore:

The essence of why the Memory Palace technique has stood the test of time.
AI’s role in human memory: How artificial intelligence can possible enhance, refine, and possibly revolutionize how we use Memory Palaces today.
Future Insights: Andrew’s positive vision for where modern tech might take us and his enthusiasm for preserving the ancient art of memory. And many other “old” artefacts of the human experience.

Whether you’re a student looking to ace your exams, a professional aiming to remember more in less time, or just someone fascinated by the intersection of technology, memory science and human potential, this discussion will be a point of inspiration as you continue to develop enhanced memory capabilities.

Here’s the video version of the discussion:

https://youtu.be/iS_BgFuUohA

For More Andrew Mayne

If you’d like to learn more about Andrew and his incredible output, here is a link library for you to explore:

Andrew’s homepage
Andrew on X
Andrew on Wikipedia
Andrew’s incredible books on Amazon
Andrew’s Penguin Live magic lecture
Watch Andrew on the Youtube version of the OpenAI Podcast, where he interviews the world’s top minds shaping the future of artificial intelligence.

For a related podcast on ancient technologies and memory, check out my discussion with Lynne Kelly about The Knowledge Gene.

And to continue the theme of magic, see what you think when I try to use a magic trick by way of testing Nelson Dellis’ theory of remote viewing.

You might appreciate my thoughts on How to Approach Learning in the Age of AI as well as tutorials on becoming polymathic and autodidact.

Thanks for listening or watching and hope to hang out with you again soon on the Magnetic Memory Method Podcast!

Why an AI Expert Uses “Analog” Memory (And You Should Too)