🇺🇲 Exowatt has been named to @a16z's American Dynamism 50, recognizing the top companies shaping the future of energy & AI. Thank you a16z for the support—the future of power is being built NOW! Read more: https://t.co/Yi19ugD64P
A huge thank you to Professor Matt Weinzierl & Brendan Rousseau from @HarvardHBS for having me (@payloadspace) at their class "Space, Public and Commercial Economics" along with @kevinweil (Planet) & @jeffmanber (Voyager).
Amazing to see how the curriculum and student interest is growing. Very impressive group.
Ursa Major and @Stratolaunch achieved a major leap forward with the first flight of a privately funded reusable hypersonic vehicle during today's test over the Pacific Ocean. https://t.co/AUsslv9ptQ
I have mad respect for Karpathy. But RL agents will not find exploits in physics that give us infinite energy, or anything like that.
As somebody who knows a thing or two about both AI and physics, I am quite certain of this. The so-called standard model of particle physics (which includes QM, which my grandfather played a founding role in) is _extremely_ good at predicting reality. Its biggest problem is that it is too good at predicting experimental outcomes, leaving very little room to look for improvements. We know it doesn’t mesh well with gravity / general relativity. But the answers here are unlikely to come from direct experimentation because the relative strengths of the effects are many orders of magnitude off from what can be measured - unless you get black holes involved, which thankfully nobody has a clue how to do in a lab.
Finding bugs in simulations is something RL can do - and it is both hilarious and inspiring when it happens. Maybe our reality is itself a simulation - this line of thought occurs to most people who ponder physics for long enough, and might never be disproven. But we have already pushed the bounds of our maybe-simulation many many orders of magnitude away from anything that can be experienced in daily life, and never seen even the slimmest hint of any sort of “bug”.
AI for fundamental science research - absolutely! Throwing out crazy ideas during live interviews - yes, please! Conservation of energy, thermodynamics, basic laws of physics - completely unassailable, no matter how smart the algorithms are.
Yes we know our understanding of physics is incomplete - but we know what those gaps look like well enough to know that there are no infinite sources of energy that can be discovered by AI-guided-random search through experiment space.
AI-guided random search to get a robot to do house chores - absolutely!
AI-guided scientist to figure out dark matter - maybe???
Perpetual motion - never gonna happen.
🇺🇸JET PILOT CROWNED MISS AMERICA 2024
In an extraordinary display of talent and ambition, Second Lt. Madison Marsh, a jet pilot in the U.S. Air Force and a Harvard master's student, has been crowned Miss America 2024.
Source: CBS News
Woke up at 2am to watch the culmination of 2 different programs that I was lucky enough to be a small part of.
Started my career with @ulalaunch working propulsion for Vulcan.
Then went on to @blueorigin to help design and build BE-4 (and BE-3U).
Congrats to everyone involved!
@KennethCassel Look into modeling a solid DCF to start. PE is largely an experience game when it comes to multiples, discount rates, risk tolerance, etc but a good financial model is alway going to be the starting point. Plenty of good tutorials on DCFs online