Meredith Whittaker

pulled together key ingredients that became the foundation of the ai ai boom now so this is deep learning algorithms which is the paradigm we're still in it doesn't matter you know there's architectural sort of rejiggering but nonetheless it's deep learning um huge amounts of data so the what i've called the derivatives of this surveillance business model he found all the cats on youtube

pulled together key ingredients that became the foundation of the ai ai boom now so this is deep learning algorithms which is the paradigm we're still in it doesn't matter you know there's architectural sort of rejiggering but nonetheless it's deep learning um huge amounts of data so the what i've called the derivatives of this surveillance business model he found all the cats on youtube

I mean, yeah, that was Jeff Dean, I think. And then, you know, powerful compute. Right. And they they showed that sort of using gaming chips and a lot of data, you could beat the benchmark. So do much score much better against standard evaluations than past models and thus sort of catalyze the industrial model. like industry interest in AI. And why were they interested?

I mean, yeah, that was Jeff Dean, I think. And then, you know, powerful compute. Right. And they they showed that sort of using gaming chips and a lot of data, you could beat the benchmark. So do much score much better against standard evaluations than past models and thus sort of catalyze the industrial model. like industry interest in AI. And why were they interested?

I mean, yeah, that was Jeff Dean, I think. And then, you know, powerful compute. Right. And they they showed that sort of using gaming chips and a lot of data, you could beat the benchmark. So do much score much better against standard evaluations than past models and thus sort of catalyze the industrial model. like industry interest in AI. And why were they interested?

I think this is a key point because these optimist-seeking algorithms are really good at curating news feeds. They're really good at figuring out algorithms, right? And so I don't think it's an accident that

I think this is a key point because these optimist-seeking algorithms are really good at curating news feeds. They're really good at figuring out algorithms, right? And so I don't think it's an accident that

I think this is a key point because these optimist-seeking algorithms are really good at curating news feeds. They're really good at figuring out algorithms, right? And so I don't think it's an accident that

Jeff was immediately hired at Google that, you know, Yann LeCun, who wrote the sort of deep learning algorithms that became the sort of seed of this current moment in AI, wrote them in the late 80s, was immediately hired at Meta. And it was the platform companies with a real investment in, you know, squeezing more ad dollars out of the data, sort of, you know, better serving, all of that, that

Jeff was immediately hired at Google that, you know, Yann LeCun, who wrote the sort of deep learning algorithms that became the sort of seed of this current moment in AI, wrote them in the late 80s, was immediately hired at Meta. And it was the platform companies with a real investment in, you know, squeezing more ad dollars out of the data, sort of, you know, better serving, all of that, that

Jeff was immediately hired at Google that, you know, Yann LeCun, who wrote the sort of deep learning algorithms that became the sort of seed of this current moment in AI, wrote them in the late 80s, was immediately hired at Meta. And it was the platform companies with a real investment in, you know, squeezing more ad dollars out of the data, sort of, you know, better serving, all of that, that

you know, were first to AI. And this is, you know, Google with DeepMind, you see Meta and Google being kind of the leaders in this, you know, as measured by different evaluation standards, like the measurement question here is actually really

you know, were first to AI. And this is, you know, Google with DeepMind, you see Meta and Google being kind of the leaders in this, you know, as measured by different evaluation standards, like the measurement question here is actually really

you know, were first to AI. And this is, you know, Google with DeepMind, you see Meta and Google being kind of the leaders in this, you know, as measured by different evaluation standards, like the measurement question here is actually really

interesting, kind of troubling until this generative moment where I think that the chat GPT Microsoft products kind of shifted people's perception of AI and what it can do and just like rearrange the leaderboard. But the paradigm is still the same. And the paradigm is still that AI is applying old algorithms on top of the sort of

interesting, kind of troubling until this generative moment where I think that the chat GPT Microsoft products kind of shifted people's perception of AI and what it can do and just like rearrange the leaderboard. But the paradigm is still the same. And the paradigm is still that AI is applying old algorithms on top of the sort of

interesting, kind of troubling until this generative moment where I think that the chat GPT Microsoft products kind of shifted people's perception of AI and what it can do and just like rearrange the leaderboard. But the paradigm is still the same. And the paradigm is still that AI is applying old algorithms on top of the sort of

massive platform monopoly business model, availing itself of huge amounts of data, which is produced via this surveillance business model, and really powerful compute that was designed, built up, I would say, consolidated in the hands of these platform companies. via the imperatives of the surveillance business model, right?

massive platform monopoly business model, availing itself of huge amounts of data, which is produced via this surveillance business model, and really powerful compute that was designed, built up, I would say, consolidated in the hands of these platform companies. via the imperatives of the surveillance business model, right?

massive platform monopoly business model, availing itself of huge amounts of data, which is produced via this surveillance business model, and really powerful compute that was designed, built up, I would say, consolidated in the hands of these platform companies. via the imperatives of the surveillance business model, right?