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.
Did you know?
An explosion of zinc fireworks occurs when a human egg is activated by a sperm enzyme, and the size of these “sparks” is a direct measure of its ability to develop into an embryo.
In other words, life begins with a flash of light.
Pretty intuitive animation explaining seasons, equinox, solstice, length of day and night.
Today marks the spring equinox in the Northern Hemisphere.
[🎞️ German Valencia Garcia]
I’m in love with this sentence:
“The degree to which a person can grow is directly proportional to the amount of truth he can accept about himself without running away.”
Did not expect a question that starts out 'Do you think before you speak?' to go so well. A+ question from Charlotte Harpur A++ response from Eileen Gu.
The math on this project should mass-humble every AI lab on the planet.
1 cubic millimeter. One-millionth of a human brain. Harvard and Google spent 10 years mapping it. The imaging alone took 326 days. They sliced the tissue into 5,000 wafers each 30 nanometers thick, ran them through a $6 million electron microscope, then needed Google’s ML models to stitch the 3D reconstruction because no human team could process the output.
The result: 57,000 cells, 150 million synapses, 230 millimeters of blood vessels, compressed into 1.4 petabytes of raw data. For context, 1.4 petabytes is roughly 1.4 million gigabytes. From a speck smaller than a grain of rice.
Now scale that. The full human brain is one million times larger. Mapping the whole thing at this resolution would produce approximately 1.4 zettabytes of data. That’s roughly equal to all the data generated on Earth in a single year. The storage alone would cost an estimated $50 billion and require a 140-acre data center, which would make it the largest on the planet.
And they found things textbooks don’t contain. One neuron had over 5,000 connection points. Some axons had coiled themselves into tight whorls for completely unknown reasons. Pairs of cell clusters grew in mirror images of each other. Jeff Lichtman, the Harvard lead, said there’s “a chasm between what we already know and what we need to know.”
This is why the next step isn’t a human brain. It’s a mouse hippocampus, 10 cubic millimeters, over the next five years. Because even a mouse brain is 1,000x larger than what they just mapped, and the full mouse connectome is the proof of concept before anyone attempts the human one.
We’re building AI systems that loosely mimic neural networks while still unable to fully read the wiring diagram of a single cubic millimeter of the thing we’re trying to imitate. The original is 1.4 petabytes per millionth of its volume. Every AI model on Earth fits in a fraction of that.
The brain runs on 20 watts and fits in your skull. The data center required to merely describe one-millionth of it would span 140 acres.