Kyle Harrison
article

Forget More To Learn More

David Perell 2017 View original ↗

Forget More To Learn More

Author: David Perell URL: https://www.perell.com/blog/compression One-line: Forgetting is a feature, not a bug — the brain (like a deep-learning algorithm) learns by compressing information through bottlenecks, discarding the inessential to lift signal over noise.

Key claims

  • The most important part of learning is forgetting, not remembering. The brain prizes efficiency, trying to retain only the most important things rather than everything.
  • Memory is a teacher, not a recorder. It isn’t designed to help us remember the past; it helps us navigate the future — remembering why something bad happened lets us avoid repeating it.
  • The steeper the learning curve, the more interesting the data (Tiago Forte) — learning helps us focus on what’s important and ignore what’s irrelevant.
  • Compression is why teaching forces learning. To communicate anything you must compress it; distilling what you know forces you to grapple with ideas, absorbing the good and forgetting the bad. Jeff Bezos compressed his philosophy to two rules: “It’s always Day 1” and “Be obsessed with the customer.”
  • The information bottleneck is a universal learning principle. Deep-learning algorithms squeeze data through bottlenecks, managing the tradeoff between compression and context — too much compression loses context, too much context loses compression.
  • Dreams help us forget. During sleep we discard much of what we learned, keeping the most important things — lifting signal over noise. “Forget more to learn more.”

Notable quotes

“The most important part of learning is not remembering things. It’s forgetting them.”

“Forgetting is a feature, not a bug.”

“The steeper the learning curve — the greater the improvement from the old rule to the new one — the more interesting you find a piece of data.” — Tiago Forte

How it connects

  • Learning / Teaching — compression as the mechanism that makes teaching the best way to learn.
  • Jeff Bezos — two-rule compression of a whole business philosophy as the exemplar.
  • David Perell — recurring distillation/simplicity theme across his writing.