How I use AIs to Learn Faster Than Most

FUTURE

Using AIs to learn is probably the most important Generative AI use case, and it’s not even close. In my case, it has completely transformed my learning process, and this is coming from a guy who literally earns his living from learning hard things fast.

I’m probably the fastest learner you’ve ever met, not because I’m a genius, but because I lean on AI more than anyone you know. Unironically, my competitive moat is nothing but better AI use than others.

Remember the mantra “an AI won’t take your job, someone using AI will”? Well, it’s very real already.

Today, I’m going to give you my learning tricks while also giving you a sense of the profound transformation AI will have on modern education. This is no small joke; it’s a trillion-dollar opportunity that people like Sam Altman are counting on to make OpenAI a trillion-dollar company.

From Bloom’s two-sigma method to the legendary Skunk Works, we are laying the foundation for reforming the education system and your approach to learning.

You’re learning a lot today (pun intended).

The Thesis for Education Reform

My ‘AI education reform’ is based on two big ideas:

Aristocratic tutoring

Knowledge commoditization

Let’s unpack them.

Aristocratic tutoring

One of the most legendary figures in history is Alexander the Great, a young, brave Macedonian prince who decisively defeated the Persian king Darius III in the battle of Gaugamela in 331 BCE. This battle was the turning point in the war, eventually conquering the entire Persian Empire.

But probably the most remarkable point of his legend was his age, as he was just 26 when that battle took place, and just 22 when he crossed the Hellespont to start the War.

But he’s hardly the only example of extreme prodigious behavior:

Mozart, the musical prodigy, was touring Europe and composing unique pieces (more than 800 in his entire life) at just five years old.

John Stuart Mill was able to read Greek texts at just three

Blaise Pascal published his “Essay on Conics” at sixteen,

Ada Lovelace, credited with writing the first-ever ‘computer program’, did so in her late twenties.

And what all of them had in common? You guessed it, 1-on-1 tutoring.

The research behind the effectiveness of this method is undeniable, supported by both historical figures and recent research and implementations.

In the famous 1984 study by Benjamin Bloom, it was observed that average students who receive one-on-one tutoring in subjects to “mastery level” (i.e., requiring a minimum of 90% rather than 72% to advance) score roughly two standard deviations higher than students in conventional classrooms, placing them at the 95.44% percentile (better than 95.44% of students):

This study was particularly relevant because it was carried out on “average“ students, meaning that attributing genius capabilities to the aforementioned historical figures does not explain the entire picture, and aristocratic tutoring really played a vital role.

Thus, the value of this teaching method has been known for decades (or centuries), yet the issue with one-to-one tutoring…

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