Meredith Whittaker

I think kind of sideloading myself into some academic research work. I was like, okay, how do we do this? How, you know, method document, our methodology document sort of, you know, everything was open. So we pulled that together and it, um, it showed, I don't know if you remember, there was a sort of Comcast cogent Netflix. Netflix was shoving all its graphics through cogent.

I think kind of sideloading myself into some academic research work. I was like, okay, how do we do this? How, you know, method document, our methodology document sort of, you know, everything was open. So we pulled that together and it, um, it showed, I don't know if you remember, there was a sort of Comcast cogent Netflix. Netflix was shoving all its graphics through cogent.

What we had done is expose that and exposing that it exposed the principle of that you have to, if you wanted to ensure net neutrality, you have to take the interconnection points and the interconnection agreements into account. And that led Obama to add interconnection to the reclassification under Title II of these, you know, which kind of moved toward net neutrality that was then nullified.

What we had done is expose that and exposing that it exposed the principle of that you have to, if you wanted to ensure net neutrality, you have to take the interconnection points and the interconnection agreements into account. And that led Obama to add interconnection to the reclassification under Title II of these, you know, which kind of moved toward net neutrality that was then nullified.

What we had done is expose that and exposing that it exposed the principle of that you have to, if you wanted to ensure net neutrality, you have to take the interconnection points and the interconnection agreements into account. And that led Obama to add interconnection to the reclassification under Title II of these, you know, which kind of moved toward net neutrality that was then nullified.

But, you know, that was kind of the swan song, let's say, for my MLAB time, because, of course, that was a huge deal, right? Like, that's where the business model rubber hits the road. Yeah.

But, you know, that was kind of the swan song, let's say, for my MLAB time, because, of course, that was a huge deal, right? Like, that's where the business model rubber hits the road. Yeah.

But, you know, that was kind of the swan song, let's say, for my MLAB time, because, of course, that was a huge deal, right? Like, that's where the business model rubber hits the road. Yeah.

and you know i'll just shorthand it like that bought me a lot of capital at google and with that i was you know i was already interested in a lot of things m lab was sort of humming along and like it had grown from a hypothesis project to like a global thing that was working and and doing stuff um and i had started getting agitated by ai and a lot of these privacy and security concerns being part of the community that you were part of you know kind of thinking around like

and you know i'll just shorthand it like that bought me a lot of capital at google and with that i was you know i was already interested in a lot of things m lab was sort of humming along and like it had grown from a hypothesis project to like a global thing that was working and and doing stuff um and i had started getting agitated by ai and a lot of these privacy and security concerns being part of the community that you were part of you know kind of thinking around like

and you know i'll just shorthand it like that bought me a lot of capital at google and with that i was you know i was already interested in a lot of things m lab was sort of humming along and like it had grown from a hypothesis project to like a global thing that was working and and doing stuff um and i had started getting agitated by ai and a lot of these privacy and security concerns being part of the community that you were part of you know kind of thinking around like

tech alternatives and getting less comfortable with the business model um and from there i always had like eight different projects going on but i went on to found to co-found the ai now institute which was really trying to bring the conversation on what we called machine learning back then but like ai was like a flashier term like bring it down to the ground a little bit and stop talking about super intelligence and start talking about you know political economy and

tech alternatives and getting less comfortable with the business model um and from there i always had like eight different projects going on but i went on to found to co-found the ai now institute which was really trying to bring the conversation on what we called machine learning back then but like ai was like a flashier term like bring it down to the ground a little bit and stop talking about super intelligence and start talking about you know political economy and

tech alternatives and getting less comfortable with the business model um and from there i always had like eight different projects going on but i went on to found to co-found the ai now institute which was really trying to bring the conversation on what we called machine learning back then but like ai was like a flashier term like bring it down to the ground a little bit and stop talking about super intelligence and start talking about you know political economy and

What are these technologies? How are they being deployed? How do you oversee them? Who uses them? On whom? And what are the social and political dynamics of that?

What are these technologies? How are they being deployed? How do you oversee them? Who uses them? On whom? And what are the social and political dynamics of that?

What are these technologies? How are they being deployed? How do you oversee them? Who uses them? On whom? And what are the social and political dynamics of that?

It was at NYU and it moved out of NYU for reasons of that being easier. Okay. And cheaper because they take like 40% those universities. Okay. Word to the wise, your money.

It was at NYU and it moved out of NYU for reasons of that being easier. Okay. And cheaper because they take like 40% those universities. Okay. Word to the wise, your money.

It was at NYU and it moved out of NYU for reasons of that being easier. Okay. And cheaper because they take like 40% those universities. Okay. Word to the wise, your money.