Bryan Cantrill

So he dispatched an aide to go to Austin to visit LBJ on his ranch in And get his perspective, having just left the Oval Office. And LBJ said, you know, I was beginning to work on his memoirs. And he said, you know, I'm very grateful that I've recorded all these conversations. And tell Nixon that if he wants to write great memoirs, he should record every conversation.

So he dispatched an aide to go to Austin to visit LBJ on his ranch in And get his perspective, having just left the Oval Office. And LBJ said, you know, I was beginning to work on his memoirs. And he said, you know, I'm very grateful that I've recorded all these conversations. And tell Nixon that if he wants to write great memoirs, he should record every conversation.

You know, we've got more in common with Nixon than we thought. So that was last year. Obviously, Mike, we love your predictions from last year. Still waiting. I'm still I'm in sunglasses as we speak in a hoodie to make sure that no one can pull AI related details from my irises. Yeah.

You know, we've got more in common with Nixon than we thought. So that was last year. Obviously, Mike, we love your predictions from last year. Still waiting. I'm still I'm in sunglasses as we speak in a hoodie to make sure that no one can pull AI related details from my irises. Yeah.

It hasn't happened yet, but it's not yet, but actually Mike, you very cagely said if it happens anytime after this, I'm also going to get credit. This is why you should. Um, I think we're ready to get going. Simon, let's kick off with you. I kind of like what we did last year. Everyone did their one years, and then we got to their three years, and then we got to our six years.

It hasn't happened yet, but it's not yet, but actually Mike, you very cagely said if it happens anytime after this, I'm also going to get credit. This is why you should. Um, I think we're ready to get going. Simon, let's kick off with you. I kind of like what we did last year. Everyone did their one years, and then we got to their three years, and then we got to our six years.

Simon, let's kick off with you and your one years. I love that you thought, you know what? Maybe I'll go with a gloomy one year and an optimistic one year. I'm very, very curious what your predictions are for the coming year.

Simon, let's kick off with you and your one years. I love that you thought, you know what? Maybe I'll go with a gloomy one year and an optimistic one year. I'm very, very curious what your predictions are for the coming year.

That is really, really interesting. Okay, could you elaborate on that? Because I was biting my tongue to not make the same prediction, so I definitely agree with you. What's your perspective on why?

That is really, really interesting. Okay, could you elaborate on that? Because I was biting my tongue to not make the same prediction, so I definitely agree with you. What's your perspective on why?

All I know is that I want to invest at whatever ridiculous valuation you're raising at.

All I know is that I want to invest at whatever ridiculous valuation you're raising at.

God, and they love the travel use case.

God, and they love the travel use case.

We can't, yeah. You know, and Simon, we, based on your, I mean, it was so mind-blowing to talk to you a year ago, and you turned us on to Nicholas Carlini's work on the adversarial machine learning, and I just really listened to that discussion. Adam, that was such a good discussion.

We can't, yeah. You know, and Simon, we, based on your, I mean, it was so mind-blowing to talk to you a year ago, and you turned us on to Nicholas Carlini's work on the adversarial machine learning, and I just really listened to that discussion. Adam, that was such a good discussion.

I love Nicholas's perspective, and obviously we had him on again with pragmatic LLM usage, but I was just, as I was re-listening to that over the kind of winter break, I'm like, it

I love Nicholas's perspective, and obviously we had him on again with pragmatic LLM usage, but I was just, as I was re-listening to that over the kind of winter break, I'm like, it

Anyone believing in agentic AI really should listen to this thing closely because part of the reason that when you have these agents going forth in the world taking action on your behalf, these adversarial things become real, become real threats.

Anyone believing in agentic AI really should listen to this thing closely because part of the reason that when you have these agents going forth in the world taking action on your behalf, these adversarial things become real, become real threats.