Yeah. Meaning attention feedforward disaggregation. Okay. So yeah.

Yeah. And I think trying to share what that means, what an exponential demand means, and that we're still so early and yet the demand for AI compute is overwhelming. I think sharing that was interesting and I think helpful in educating the financial community. The other thing is that there are lots of ways to do this. That the GPU isn't the only way. You've got a TPU, you've got Trainium, you've got us.

Wix is down a bunch. This seems like a very logical company to suffer in the age of vibe coding.

You know, the folks that are attracted to both of those areas tend to be very technology-driven. They love distributed systems. They love the hard problems around cryptography and elliptical curve cryptography. They love low-latency computing. Like, they're quite similar in terms of being systems thinkers. And so those are the ways in which I would say that the problems are quite similar. And in fact, In fact, here's a funny anecdote related to this.

And for a lot of things, if they're 2 times faster, they do command 6 times the price. Because over the course of the year, a sales rep that sells twice as much or someone who's twice as effective at their job might actually command a salary that's 5 times, 6 times the actual price.

clearly we're in a shortage and ironically in a shortage it's not the best company who wins. I mean, you can look at Nvidia's stock chart and that tells you it's the second, third, fourth best companies where the demand overflows.

We have their Q1 results. He says quick update, not dead and putting up some insane numbers. 46% year-over-year revenue growth accelerating for the second straight quarter.

So I think at the end of the day, TSMC is kind of a kingmaker in terms of supply and there's no reason for them to really let the market go out over its skis.

So you're talking about overflow demand. I think Lisa is going to figure it out. But on the inference serving side... I wouldn't be surprised to see if there's some kind of fast SRAM offload FFN chip in the, in the next 12 months.