AI Compute

“I think building out the data centers is, is going to be a bottleneck.”

“People are going to have to control intelligence in a way that's more like how you control money and less like how you think about software licensing.”

“The demand for AI compute is not going to change.”

“All the political headwinds, I think will almost guarantee that there's not an oversupply relative to the exponentially growing demand.”

“When you do that, it's about five BCF a day, we think, of very credible incremental natural gas demand associated with Mostly AI compute.”

“If you start to move it down, it's a P-thirty or P-zero, that number, you know, can more than double and be, you know, 12 to 15 BCF a day by the early twenty-thirties if unmitigated.”

“Data centers had historically moved at sort of the speed of real estate, right? Somebody would decide to build a building and two years later after permits and they poured concrete and the building would go up and two years ago nobody cared about AI. All right…”

“There's not a dark GPU in the world today. ... There's not a dark token in the world today.”

“And, like, we are gonna have a transistor moment with all of this. It might just be more supply the way we think of it, But it also might be an actual algorithmic fundamental change. It could be a change in the hardware. There's a lot of stuff that can happen.…”

“You can think of compute not as a cost center, but as a revenue center. Think of it a little bit like hiring salespeople. How many salespeople do you want to hire? As long as you can sell your product, as long as you have a scalable way to sell that product, t…”

“I think Elon's pitch with the SpaceX IPO, and we'll see it in the coming months, is the AI compute, it's gonna be so, there's gonna be so much demand over the next five, 10 years, that you're gonna have to use these SpaceX satellites that have GPUs in them. To…”

“It goes back and forth. Right now, again, it's chips.”

“It's an energy question because the answer today is effectively a hundred percent in that first category, cloud.”

“The most valuable thing in the economy is labor. And now we're going to be able to add more labor to the economy by producing more compute and better AI. That has never happened in the history of the economy before.”

“So you multiply those things together. The algorithms, the chips, and then the raw compute that's available. You're talking about a million X increase, some of which will be captured in price reductions. Some of it will be in the performance ceiling, and then …”

“In five years, I would say 95% inference, five percent training.”

“If there was a hundred trillion dollars of value that was created in the stock market from the introduction of the computer, or the fundamental unit of compute, I actually think a hundred trillion dollars of value will be created in the next 60 years from the …”

“We don't, and I, you know, there's sort of an interesting phenomenon here, which is, you know, the Biden administration passed the IRA, the Inflation Reduction Act, and this was this huge stimulus bill that basically incentivized everyone to build solar and bu…”

“I think, and again, this is probably beyond my scope, but I think it really has to do with the size of the models and the latency, right? It takes too much time for light to travel larger distances, as hard as that is to believe. And so they tend to concentrat…”

“Nobody's built, like, a 500 megawatt gigawatt data center yet, and if you think of it as the equivalent of, like, a nuclear power plant's worth of energy going toward a single data center, it is quite large”

“I just had super, super high confidence that we were never going to get to the point where we're like, all right, we got enough compute.”