To learn faster, one should follow the biggest gradient or hardest path, as this will result in the fastest learning, similar to how neural networks are trained. Historically, humans followed the lowest gradient out of laziness and a reward system that punished errors rather than rewarding learning from mistakes. To learn most effectively, one needs to retrain themselves to seek out the hardest situations and reward themselves for learning from failures rather than avoiding challenges. The key is to change one's reward system to encourage taking on difficulties rather than staying comfortable.

1. The ultimate trick
to Learn Faster
Francis Piéraut January 2017

2. Imagine what you can learn

3. To Learn way Faster, the trick is to :
Follow the BIGGEST gradient ...
Hum….
What?
You don’t get it?

4. Let me explain...
● How do you train a Neural Network (Machine Learning Algorithm)?
● You compute the gradient (gradient = expected outcome - outcome)
● The bigger is the gradient, the faster your Neural Network will learn something
● Human by nature are lazy which means they follow the lowest gradient. Why?
○ Before: error = you could get killed -> no reward for errors, the stick.
○ Our reward system culture is still “the stick as opposed to the carrot”. Error is bad and you get punished instead of get
rewarded to learn.
○ Laziness -> People want to minimize their energy consumption (scarcity of food, now abundance).
● So basically, retrain yourself to follow the hardest gradient.
● Put yourself in the hardest situation possible and reward yourself when you learn from errors.
Lazy people Slow learner Ultimate learner

5. Change one thing -> your reward system
Great book to deconstruct fear =
New
old/prehistoric

6. Same principle phrased differently
● Get out of your comfort zone
● Fail fast
● Minimal Viable Project
● Do it
● Agile
● Get a mentor
● Jump
● ...

7. How to learn even faster?

8. How to leverage learning faster?

9. One thing to remember:
change REWARD system
The past