Analyzed as a guest, possibly unknown

But since then, it's been now run many times and, in fact, increased the yield or the amount of energy it creates multiple fold.

And so that's why this is the time to take it out of the lab and bring it to the grid because of the proven science that it has demonstrated.

Absolutely.

Well, we have a 12 to 24 month period right now where we are approving the design validation of the things we're going to go manufacture.

Then we've got a multi-year stage where we're going to go actually make the prototypes of our laser units, of our target manufacturing plant.

And after that, that's when we break ground on the plant itself.

where we put the plant we have not yet decided i think that's up for a determination over the next several years but the key thing for us is that this is not about basic science the thing that introduces a lot of uncertainty into these types of innovations is basic science you never know if it's going to work tomorrow or a decade or 100 years from now or maybe never but when you're talking about engineering bringing a product to market doing an industrial scale up

to go build bigger lasers, more targets.

Those are the kinds of things that are predictable.

Think about Apple.

Every year, they're bringing a brand new, really hard to manufacture, incredibly innovative device to market in terms of our new iPhones, and they figure out how to take it to a factory and make a billion of them.

Well, that's basically what our approach is.

It's just we're making lasers and targets and bringing those together into a plant.

Yeah, absolutely.

I mean, I did make this call back then, which was to say that I believe that software as a service companies would struggle in this AI era, not because people are going to go ask Claude to go just make them their own SaaS.

I don't think that's the reason, but because per seat pricing is going to be a big challenge.

In fact, services that are back-end infrastructure, APIs like Twilio is, I think those are the services that win because they provide the services that agents are going to be able to plug into and be able to build all sorts of new and interesting use cases.

But I think the idea that you've got a workflow that's based on the number of employees you have doing that workflow, I think those companies can get disrupted, and I think that's what you're seeing in the markets right now.

Well, I'm firmly in the camp of not throwing away babies with bathwater.

And so I think that over time, investors will discern which companies are well poised for success in this era, as well as which ones are going to struggle because they have the innovator's dilemma based on their pricing models.