Public evidence record
Published podcast speaker
Claim ledger
18 transcript-backed records
01 / belief
“What we do is use the expansion of the magnetic field to extract that electricity, and we believe you can do it with much, much higher efficiencies.”
02 / commitment
“There’s been predictions recently from energy institutes that suggest we will have growth that, rather than a 2% growth per year in electricity, may be a 4 or a 6% growth in electricity due to data center use.”
03 / belief
“You want to actually take the smallest thing you can build that accomplishes the mission—and in fusion, there is a minimum size—but accomplishes the mission, and then build it quickly and build whole teams around building it quickly and incentivize folks to move quickly, iterate and learn. And the irony I think of one of the things that I’ve discovered is that by focusing on manufacturing, by focusing on low-cost, very rapid manufacturing, you actually get to do science faster.”
04 / belief
“I think everybody is familiar with that, where you take two positive charges and you try to push them together, and the electromagnetic force between them repels them.”
05 / belief
“I think as I have gone further and further in building fusion systems that work, I’ve become more optimistic around the Fermi paradox specifically.”
06 / belief
“I think about and I look at that process in stars, in that our star is fundamentally an early stage star that’s burning just hydrogens.”
07 / belief
“What does it unlock to have power 100 times the output that we actually do here on Earth right now? And I think that’s pretty transformational.”
08 / belief
“In an FRC, you make the plasma which makes the magnets, and it traps itself. And the craziest part of this, in my mind, is that we actually see this in nature all the time.”
09 / prediction
“These plasmas can last for hundreds or thousands of times the basic theory has shown that now you can have long enough lifetimes. So what that means is in a practical fusion system, there are lifetimes of these high beta pulse systems between 100 microseconds and a few milliseconds, thousandths of a second.”
10 / preference
“You don’t want to touch that high velocity particle with any kind of material, because it will collide with that material, damage that material, and usually blow off some chunks of that material.”
11 / prediction
“Because this is the other thing that I don’t know that early in my career I’d have predicted, is that by making a hundred of a thing, you can actually make it faster than if you go make one of a thing.”
12 / prediction
“Where it has two neutrons and a proton, and when you fuse those together at very high temperatures, at very high densities or high enough densities and very high temperatures, they make helium, which is a charged particle, which stays inside the campfire, inside the Tokamak, continuing to heat it and stoke the flames, and it makes a neutron which leaves the system because it’s uncharged.”
13 / prediction
“At any one time, in a Helion fusion system and most fusion systems, you have one second of fuel in that system. So what that means is if you stop turning on… If you stop putting fuel into that system, fusion just stops.”
14 / recommendation
“We use that to do design work, and then also to try to understand how we think the machine will run.”
15 / recommendation
“The diagnostic systems are really one of the keys to how we do this effectively, because you need to be able to tell the system, “We’re going to trigger electrical current, and we’re going to do it in a microsecond, and we need to know if it’s working right.”
16 / evaluation
“We probably didn’t push fast enough. And I think that’s really critical: that we build the team and we do the hiring to make sure that everybody is doing their problem.”
17 / evaluation
“Because there’s a mathematical solution for a stellarator that solves perfectly.”
18 / commitment
“You’re going to do a shot, and when you’re operating them repetitively and you’re running long periods of time, you still have all computers doing both the triggering and the measuring of how they’re performing, real-time the whole time. So how this typically works, at least in our systems, is that we will design a system with a combination of numerical simulation tools that we’ve developed based off of decades and decades of amazing government programs.”