An MIT professor gives a student $5 and says: send any amount to a stranger in this room. Whatever you send triples. The stranger decides how much comes back.
Rational answer: send nothing. You lose every dollar you trust.
Most students send almost everything. Most strangers return more than half. The math says keep it. The room says otherwise.
Then the professor runs a different game. Same cash. Same room. One student splits. The other can only accept. No rejection. No consequences.
The offers collapse. Not to zero. But enough to see the line between generosity and strategy.
One year a student got Swiss chocolate instead of cash. She was lactose intolerant. Gave away 100%. The professor noted it. The class laughed. Nobody noticed the point.
She had zero cost of generosity. The moment giving costs nothing, everyone is generous. The moment real money hits the table, the room divides into the same two groups every semester. People who send first. People who wait.
Labor, capital, arbitrage, insurance. Four ways to make money. All four require the same opening move.
You send value before you see a return. A paycheck after the work. A deposit before the interest. A bet before the edge. A premium before the claim.
The lecture is free. MIT filmed it years ago. The game runs every semester. The split barely changes.
Sending first is free. Knowing if it comes back is the part that costs something.
Andrej Karpathy spent 8 years at OpenAI and Tesla
Last week, he condensed everything he knows into one free 2-hour lecture
Agents → Loops → Harness → Self-Improving Systems
People pay $14K for bootcamps that teach less than this
This lecture beats most paid AI engineering courses
You probably don't have 2 hours right now
Don't let this disappear from your feed
Watch it
Then read the article below
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I studied what separates threads that get 500 likes from threads that get 50,000.
It’s rarely the topic. It’s the structure.
Here’s the pattern most people miss
A 19-year-old Japanese student built a trading bot with Claude Code in 2 days.
Used his iPad as a second monitor.
First night: $6,732 profit.
Starting capital: $68.
Total profit so far: $750,000.
Here's how it works:
The bot scans over 50 markets simultaneously.
Syncs live BTC data from Binance every second.
Spots price errors before humans even notice.
The edge is pure speed + pattern recognition.
While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets.
No guessing.
No emotions.
No hesitation.
Just Claude Code logic finding gaps that close in seconds.
He built the entire system in 48 hours:
→ Claude Code handles the trading logic
→ Binance API feeds real-time BTC data
→ iPad displays multi-market monitoring
→ Executes trades when arbitrage windows open
The system runs 24/7.
Every price dislocation = profit opportunity.
Most people are still trading manually, refreshing charts, second-guessing entries.
Meanwhile this 19-year-old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear.
Why are people still trading manually?
💡I'm giving away the exact Claude Code setup for free.
24 hours only.
To get it: 👇
1️⃣ Comment "Claude"
2️⃣ Like Comment and Repost
Follow
@triptitips
I'll DM you the complete setup.
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