๐จ A junior at Jane Street reportedly landed a $220Kโ$600K role because he used AI to analyze trillions of data points faster than most teams ever could.
In this 1-hour lecture, he breaks down the exact system behind it:
โข how he researches massive datasets
โข how AI finds patterns humans miss
โข how his machine turns raw data into decisions
โข how you can apply the same thinking yourself
Skip Netflix tonight.
Watch this instead.
One hour could completely change how you think about research, AI, and opportunity.
STANFORD HAS A 1-HOUR LECTURE ON AGENTIC AI THAT COVERS EVERYTHING BEHIND AUTOMATION SYSTEMS THAT ACTUALLY WORK.
WORTH WATCHING BEFORE YOU BUILD ANYTHING.
Every time you accepted a salary, chose a price, or walked into a negotiation, the other person was running GAME THEORY in their head.
You were guessing.
This 1-hour Yale lecture by Professor Ben Polak will permanently change how you read people and make decisions.
Most MBAs pay $150k to learn this. Yale posted it for free:
Instead of watching an hour of Netflix, watch this 2-hour Stanford lecture on AI careers. It will teach you more about winning in the AI race than all the AI content youโve scrolled past this year.
For those unaware, SpaceX has already shifted focus to building a self-growing city on the Moon, as we can potentially achieve that in less than 10 years, whereas Mars would take 20+ years.
The mission of SpaceX remains the same: extend consciousness and life as we know it to the stars.
It is only possible to travel to Mars when the planets align every 26 months (six month trip time), whereas we can launch to the Moon every 10 days (2 day trip time). This means we can iterate much faster to complete a Moon city than a Mars city.
That said, SpaceX will also strive to build a Mars city and begin doing so in about 5 to 7 years, but the overriding priority is securing the future of civilization and the Moon is faster.