7 days.
1 shoot day.
3 cameras.
188GB of footage.
368 messages.
We even opened anatomy books. We studied where every organ sits and which way it faces, down to which artery the catheter goes in.
Truly understanding the product and delivering what the team needs. That's our job.
Congrats to @mosaicintel_lab@ilepirox@alimackanic@nancetuongtran
Surgery is among humanity’s most valuable skills. Yet we don’t quite know how to teach it, transfer it, let alone scale it. That leaves too many patients without access to life-altering or life-saving procedures when and where they need them.
@ilepirox and @alimackanic started Mosaic Intelligence Labs to face surgery’s inherent challenge: scalability. Today we announce our vision, backed with $47M to start building.
This is the beginning of a great journey! Come join us. We’re hiring in SF: https://t.co/65Y553eOfj
Prediction. Screenshot this.
By 2031, half of the world's top 10 companies by market cap will be AI-run.
Not just "AI companies" Companies where AI agents make decisions.
The other 5 will be selling them the compute.
.@Alexandr_Wang's advice to his 18-year-old self: develop your own internal compass for how the future will unfold, and hold conviction in it against the noise.
At Startup School 2026, the Scale AI (YC S16) founder — now leading @Meta’s Superintelligence Labs — talks with @garrytan about rebuilding a frontier lab from scratch, why talent density compounds, and how to spot the exponential worth betting your twenties on.
00:07 — How Alexandr Wang Started Scale AI
03:25 — Pivoting to the Right Idea
06:23 — Conviction Before Consensus
09:06 — Why This Is the Best Time to Start a Company
11:27 — What Personal Superintelligence Looks Like
13:10 — Building a Frontier AI Lab
16:36 — Why AI Models Need to Be Cheap
20:01 — Vision Will Matter More Than Intelligence
24:06 — Systems Thinking in the AI Era
26:51 — The Biggest Opportunity in AI Today
29:25 — Advice to My 18-Year-Old Self
AI went from talking to actually doing work.
So what's next?
Lesson I'm taking: stop capping your imagination. The ideas that sound ridiculous today deserve a second, deeper look.
8 years ago, studying AI in college, AI could barely do Van Gogh style transfer.
I remember thinking: what if one day AI writes the code for my AI homework? What if I just describe what I want and it builds it? What if it builds AI?
Honestly, back in the chatbot era I thought the "AI bubble" crowd had a point.
Then MCP dropped and I took it back instantly. That wasn't AI's limit. It was my imagination's.