We can query the world’s knowledge instantly. Why not the human body?
We have nearly encoded our entire collective knowledge onto a single AI model
So what’s stopping us from doing the same with the information in our bodies?
"The age of abundant generation makes one thing clearer: the scarce resource is not information. It is not even intelligence in the abstract. It is agency under pressure" https://t.co/joHbcIwIT3
Healthcare waits for pathology. Wellness sells aspiration. Productivity counts output. None show the version of you that's actually reachable. We built twins to predict collapse. Nobody funded the mirror that reinforces agency. https://t.co/aJmEsVEPr0
@ferrari LUCE is a remarkable work done by the Ferrari team. A blend of technology, design and craftsmanship only Italians can deliver. Designed and manufactured in Italy!
Ex-MIT researcher Isaak Freeman quits his PhD and drops the 50,000 H100 GPU roadmap to emulate a full human brain.
He mapped the entire path from 302-neuron worm to 86-billion-neuron human with connectomics costs now at 100 dollars per neuron and data acquisition via advanced microscopes as the only blocker left - digital humans just got a realistic timeline.
https://t.co/kGB5hOAQHC
Today we're releasing Personal Computer.
Personal Computer integrates with the Perplexity Mac App for secure orchestration across your local files, native apps, and browser.
We’re rolling this out to all Perplexity Max subscribers and everyone on the waitlist starting today.
Harmonic oscillation in a levitated water drop
Ultrasonic standing waves levitate a water droplet and flatten it into a disk. Modulating the sound at its resonance frequency excites harmonic shape modes creating rotating "star drops"
@karpathy@karpathy we have engineered a multi-marker,medical-grade non-intrusive biosensor @holosense_ai following this exact reasoning. Would you be interested in seeing it and help us understand its potential?
The mental model of work is falling apart.
Most work in our current economy is based on predictability. The entire education system, institutions, and enterprises’ modus operandi are built around this. Now that all predictable work can be automated, what remains in the hands of humans?
Discovery, judgment, and stewardship, argues @indy_johar.
More on this here. https://t.co/zCbTzEaSQ5
Healthcare’s strongest future moat:
Turning scarce clinical data into faster learning, better trials, and better outcomes — while regulation makes it harder for others to catch up.
That’s where defensibility really lives.
Healthcare moats are shifting — and regulation isn’t the strongest one anymore.
The real moat is emerging quietly:
clinically meaningful health datasets + the ability to act on them.
@holosense_ai
Important nuance:
The moat is not data ownership.
It’s embedding data into decision loops:
• clinical
• operational
• regulatory
• reimbursement
Decisions compound. Data alone doesn’t.