Meredith Whittaker

And large compute, right? For both training and inference.

And large compute, right? For both training and inference.

And large compute, right? For both training and inference.

I don't... I mean, I think... This is almost a perpetual motion machine, right? Like every quarter you have to report progress. You have to report growth. The logic is metastasis, right? And so you're trying to squeeze more out of what you have and you're trying to get more of what you have so you can squeeze more, right? There's also these sort of laws of scale. Remember big data?

I don't... I mean, I think... This is almost a perpetual motion machine, right? Like every quarter you have to report progress. You have to report growth. The logic is metastasis, right? And so you're trying to squeeze more out of what you have and you're trying to get more of what you have so you can squeeze more, right? There's also these sort of laws of scale. Remember big data?

I don't... I mean, I think... This is almost a perpetual motion machine, right? Like every quarter you have to report progress. You have to report growth. The logic is metastasis, right? And so you're trying to squeeze more out of what you have and you're trying to get more of what you have so you can squeeze more, right? There's also these sort of laws of scale. Remember big data?

We used to call it that. And so I don't actually know the answer to your question, but I think it... Like, which came first? But, well, I mean, the business model came first, right? Like, you had to have the ingredients to know what they did together.

We used to call it that. And so I don't actually know the answer to your question, but I think it... Like, which came first? But, well, I mean, the business model came first, right? Like, you had to have the ingredients to know what they did together.

We used to call it that. And so I don't actually know the answer to your question, but I think it... Like, which came first? But, well, I mean, the business model came first, right? Like, you had to have the ingredients to know what they did together.

And I think it was, you know, deep learning and AI has sort of languished in the backwater, you know, with some interesting experiments through the 2000s. because its history is always promising too much and disappointing since the mid-50s when it was invented. And I think the goal was really to sort of supercharge their existing business model

And I think it was, you know, deep learning and AI has sort of languished in the backwater, you know, with some interesting experiments through the 2000s. because its history is always promising too much and disappointing since the mid-50s when it was invented. And I think the goal was really to sort of supercharge their existing business model

And I think it was, you know, deep learning and AI has sort of languished in the backwater, you know, with some interesting experiments through the 2000s. because its history is always promising too much and disappointing since the mid-50s when it was invented. And I think the goal was really to sort of supercharge their existing business model

It's an influence. It's trying to get, you know, is it trying to get you to buy something? Is it trying to get you to like something? Is it trying to get you to believe something? Is it trying to get you to vote a certain way? Right. And I think that, you know. The term advertisement is usefully deconstructed when we start to think about the connection between all of those.

It's an influence. It's trying to get, you know, is it trying to get you to buy something? Is it trying to get you to like something? Is it trying to get you to believe something? Is it trying to get you to vote a certain way? Right. And I think that, you know. The term advertisement is usefully deconstructed when we start to think about the connection between all of those.

It's an influence. It's trying to get, you know, is it trying to get you to buy something? Is it trying to get you to like something? Is it trying to get you to believe something? Is it trying to get you to vote a certain way? Right. And I think that, you know. The term advertisement is usefully deconstructed when we start to think about the connection between all of those.

with your with your you know making use of the influence and the knowledge you have yeah i think is that the workout i mean that's there's a it's all interlinked and kind of periodizing your own consciousness is hard but i think you know i'm pretty earnest and i like i also don't come from that world i don't come from that class so there are often places where i just didn't

with your with your you know making use of the influence and the knowledge you have yeah i think is that the workout i mean that's there's a it's all interlinked and kind of periodizing your own consciousness is hard but i think you know i'm pretty earnest and i like i also don't come from that world i don't come from that class so there are often places where i just didn't

with your with your you know making use of the influence and the knowledge you have yeah i think is that the workout i mean that's there's a it's all interlinked and kind of periodizing your own consciousness is hard but i think you know i'm pretty earnest and i like i also don't come from that world i don't come from that class so there are often places where i just didn't

I would take things sincerely or be really committed and then only realize two-thirds of the way through, whatever it was, like, oh, no one else really cares about this. They're just networking or whatever it was. So I think there was an element there where when I was doing MLab, I was like, I really want to win net neutrality. And then we won net neutrality.

I would take things sincerely or be really committed and then only realize two-thirds of the way through, whatever it was, like, oh, no one else really cares about this. They're just networking or whatever it was. So I think there was an element there where when I was doing MLab, I was like, I really want to win net neutrality. And then we won net neutrality.