The guy who invented Amazon Prime disappeared for six years. He came back this week with $250 million and a factory that turns lines of code into tiny working machines. Type different code, a different machine comes out the other end.
That sounds fake. Here's why it took six years.
A chip fab is the most precise factory humans have ever built, and it makes exactly one kind of thing. Flat silicon that processes information. The moment you want moving parts, multiple materials, or real 3D structure, you leave the fab for a world where getting one new device into production takes years and tens of millions of dollars. Engineers call it one product, one process. It's the reason micro-machines never got their Moore's Law.
Holden's Matter Compiler kills the per-product process entirely. Features down to a few microns, no new tooling, and the system measures and corrects every step while it builds, then feeds what it learned into the next design.
His first product is the tell on how sharp the strategy is.
PrimeSwitch is a 150-amp relay for 800-volt power in AI data centers. It opens in roughly 50 microseconds, about 1,000x faster than a normal contactor. So the first thing to come out of a universal factory is aimed at the one market where demand is basically infinite and a faster switch means less fried hardware.
Neal Stephenson wrote the Matter Compiler as fiction in 1995. Holden just shipped the first real product out of one, and it's a light switch for AI data centers.
@JohnStossel@SpaceX@Tesla This is simply due to my ownership stakes in SpaceX and Tesla.
As those companies build more and more, their value increases and all shareholders benefit.
The takers of the world who have never built anything, like Bernie, do as they always do and take from the makers.
Introducing Griffin, the first model to pass the video Turing test.
48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video.
It’s the first Human Interaction Model (HIM).
Elon Musk is joining a major Pentagon effort to help map the future of warfare
Pete Hegseth just announced Elon as a co-leader of Project Meridian, bringing man behind SpaceX and Tesla into an effort to identify the technologies and capabilities that could shape future warfare
He’ll lead the effort alongside Palmer Luckey and Newt Gingrich, with Hegseth calling them “three of our nation’s best minds”
The project will:
• Bring together private-sector, military, academic and policy experts
• Study how future wars will be fought
• Identify the technologies and capabilities the U.S. military needs to master
• Deliver its findings within 120 days, including a public report and classified annex
Project Meridian will look across everything from AI, autonomy and robotics to directed energy, biotechnology and even the cislunar frontier
What a crazy timeline: Now it’s Meta taking the fight to OpenAI - and they even have a good chance of their always-on agent outperforming the competition.
Alexandr Wang is turning out to be the best hire for Meta.
Elon Musk lays out the 90% likely outcome for AI...a future of personal robots, universal high income and unimaginable abundance
“Let me focus on the 90% likely outcome...which is the prosperous, the good outcome”
“The 90% positive outcome is that everyone’s got robots that are their buddies”
“Wouldn’t it be great if everyone could have their own personal C-3PO, R2-D2...but even better than that?”
“They could take care of elderly parents, be a good guardian, watch over children or be an individualized tutor”
“I think you’ll see many companies where it’s one person with hundreds, maybe thousands of robots...physical robots as well as digital robots”
“The productivity of one person would be greatly amplified”
“My prediction is that there will be effectively universal high income”
“It’s not clear to me that money will even matter in the future”
“You have an age of abundance that is difficult for us to wrap our minds around”
“The robot will be happy to work 168 hours a week, continuously...and the robot is instantly at working age and does not have retirement”
„Internally, OpenAI has largely automated the process of training new experimental models, the OpenAI employee said.“
Via the information
We did it friends. Recursive self improvement is here.