James Proud retweeted
Karl Deisseroth’s first day as a Nobel laureate 📷
The Stanford professor won the Nobel Prize in physiology or medicine for discoveries leading to optogenetics. His next move? Getting back to work.
“We have a lot of things still to discover, and a lot of people to help.”
"Christine was a bright, busy toddler who loved taking trips to the playground and helping her father in the garden. An attentive caretaker of her toys, she favored a stuffed Peter Rabbit character from the classic Beatrix Potter series."
James Proud retweeted
Owen loved you dearly and was immensely proud of what you built at Facebook after he handed over the reins.
He was the best negotiator and salesman Silicon Valley has ever known. Many unfortunately only ever saw that side of him. Behind the tough negotiator was the most charismatic, generous-to-a-fault, and loving father possible.
Silicon Valley often falls into zero-sum thinking, and forgets that this place only works because those who built it before offer their hand to pull up the next generation. Owen never forgot this and saw it as a moral imperative. He created far more wealth and opportunity than he ever saw himself.
Thank you for eulogizing a great man who did so much for us and many others.
James Proud retweeted
Robert Gilman is free 🇺🇸 After 4+ years in Russian detention; he's headed home. This is what our mission looks like — and we won't stop until Stephen Hubbard, and every unjustly detained American in Russia joins him.
“I wish to be useful, and every kind of service necessary to the public good becomes honorable by being necessary. If the exigencies of my country demand a peculiar service, its claim to perform that service are imperious.” – Nathan Hale (June 6th 1755 – September 22nd 1776)
James Proud retweeted
We go where we need to be, and today that was @NASAKennedy.
Some of my senior engineers and I spent time at @blueorigin with @JeffBezos and @davill, speaking with the workforce and seeing the damage at LC-36 firsthand. I appreciated the opportunity to hear directly from those working through the aftermath and better understand the challenges ahead.
There is a lot of work to do, but this is exactly why people choose careers in aerospace, whether at NASA, Blue Origin, or across the industry. The talent in this field thrives under pressure and performs at its best when solving the toughest problems.
We have been saying for months at NASA that we are not going to sit on our hands and wait for the capabilities necessary to achieve the nation’s most pressing objectives. We are going to take an active role alongside our partners, just as we did in the 1960s, to overcome setbacks, remove obstacles, and deliver the intended outcomes.
@NASA is committed to helping the Blue team recover, continue to advance their lunar lander and get New Glenn back to launching as soon as safely possible.
America’s greatest achievements in space were never the result of avoiding setbacks. They came from overcoming them. We have done it before, and we will do it again🇺🇸
Congratulations to the @googledeepmind team. @jeffdean's work on "TPU brains helping design next-generation TPU bodies" is a powerful demonstration of where AI co-design is heading in semiconductors.
We are honored to see our work with @googledeepmind's AlphaEvolve featured alongside major breakthroughs from @googleresearch and @googlecloud, as well as other impactful commercial applications.
James Proud retweeted
when spacex was getting started, the first and last men to walk on the moon testified before congress against it.
gene cernan told congress commercial space companies "do not yet know what they don't know."
he said the boeings and lockheed martins were "the folks who have been working on everything we've done for the last 50 years. they know how it can be done."
neil armstrong said he was "not confident" the newcomers could achieve their goals.
together with jim lovell they warned it would put america on "a long downward slide to mediocrity."
spacex now launches more rockets than every country on earth combined.
the experts will always tell you it can't be done. build it anyway!
James Proud retweeted
Thanks for the feedback @jamesproud.
Really happy to see AlphaEvolve enabling you and your team at @substrate to discover new and more effective solutions.
This is exactly why our teams @GoogleDeepMind and @googlecloud are so invested in the future of AI agents.
James Proud retweeted
A metal one (M1) layer, first simulated by AlphaEvolve-optimized models and then printed in a single exposure with our X-ray lithography tool at a 12 nm half-pitch, resolution equivalent to the 2 nm node. The M1 layer is the most demanding of an advanced semiconductor device.
ALT Printed P24 M1 (12 nm CD) with measurements from a scanning electron microscope.
James Proud retweeted
Over the past few months, we have integrated @googledeepmind's AlphaEvolve into our computational lithography. Enabled by AlphaEvolve's algorithmic leaps, we are now printing complex patterns in a single exposure that would otherwise require multiple. substrate.com/information-to…
James Proud retweeted
There is a lot of discussion around recursive loops of self-improvement for AI. Using AlphaEvolve at Substrate has given us a clear glimpse into this future, and is now accelerating the ultimate recursive loop: AI improving itself all the way down to the atoms.
Over the past few months, we have integrated @googledeepmind's AlphaEvolve into our computational lithography. Enabled by AlphaEvolve's algorithmic leaps, we are now printing complex patterns in a single exposure that would otherwise require multiple. substrate.com/information-to…
There is a lot of discussion around recursive loops of self-improvement for AI. Using AlphaEvolve at Substrate has given us a clear glimpse into this future, and is now accelerating the ultimate recursive loop: AI improving itself all the way down to the atoms.
Over the past few months, we have integrated @googledeepmind's AlphaEvolve into our computational lithography. Enabled by AlphaEvolve's algorithmic leaps, we are now printing complex patterns in a single exposure that would otherwise require multiple. substrate.com/information-to…
Thank you to @jeffdean for helping us join early tests, to @demishassabis, @pushmeet, and the @googledeepmind team for pushing the frontier of science and engineering with magical models, and to the @googleai and @googlecloud teams for supporting our work at Substrate.
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James Proud retweeted
Ramsey numbers are notoriously hard. Amazing to see AlphaEvolve improve bounds for 5 classical Ramsey numbers - some for the first time in 10+ years - by discovering search procedures itself. A big milestone in AI for maths - congrats to the team!
Happy to share new progress in AI for Maths @GoogleDeepMind .
In extremal combinatorics, AlphaEvolve has helped establish new lower bounds for FIVE classical Ramsey numbers - a problem so challenging that even Erdős commented on its difficulty.
Historically, computationally deriving these bounds required bespoke, human-designed search algorithms. For many of these bounds, the best previous results are at least a decade old. AlphaEvolve changes this by acting as a single meta-algorithm that automatically discovers the search procedures needed to find these new bounds. 📷
James Proud retweeted
Default case right now is a software only singularity, we need to scale robots and automated labs dramatically in 28/29, or the physical world will fall far behind the digital one - and the US won’t be competitive unless we put in the investment now (fab, solar panel, actuator supply chains).
Anthropic's @_sholtodouglas describes the concept of a software-only singularity:
"It's one where the models are far better at digital tasks than they are at physical ones. And so we see rapid change in the digital world with models, and relatively little change in the physical world. So information and software changes dramatically, and this ends up having some pretty weird effects."
"It means that maybe like the drivers of what have been the last couple decades of progress in the economy turn around."
"And I think we'll see that flow on into the physical world but at a delay. So you get much better at doing chip design. You get much better at training AI models. AI models get a lot faster. Chips get a lot better. The general economy gets a lot more efficient because the sort of information and message parsing that is much of the rest of the economy ends up becoming much more efficient."
"But at the same time you don't yet have robots providing limitless physical abundance. Science probably progresses really fast up to the degree that you need interaction with labs or larger particle colliders or something like this. And then you go, 'Okay well I need to build the robots.'"
James Proud retweeted
Bob Weir, the singer, songwriter, guitarist and co-founder of the Grateful Dead who for decades was one of the driving forces behind the revered band and their legacy, has died at age 78 rollingstone.com/music/music…
