Swale Asif

They can run models that you cannot run locally on this encrypted data, but they cannot see what the data is. And then they send back the answer and you decrypt the answer and only you can see the answer. So I think that's still very much research and all of it is about trying to make the overhead lower because right now the overhead is really big.

They can run models that you cannot run locally on this encrypted data, but they cannot see what the data is. And then they send back the answer and you decrypt the answer and only you can see the answer. So I think that's still very much research and all of it is about trying to make the overhead lower because right now the overhead is really big.

They can run models that you cannot run locally on this encrypted data, but they cannot see what the data is. And then they send back the answer and you decrypt the answer and only you can see the answer. So I think that's still very much research and all of it is about trying to make the overhead lower because right now the overhead is really big.

But if you can make that happen, I think that would be really, really cool. And I think it would be really, really impactful. Because I think one thing that's actually kind of worrisome is that as these models get better and better, they're going to become more and more economically useful. And so more and more of the world's information and data will flow through one or two centralized actors.

But if you can make that happen, I think that would be really, really cool. And I think it would be really, really impactful. Because I think one thing that's actually kind of worrisome is that as these models get better and better, they're going to become more and more economically useful. And so more and more of the world's information and data will flow through one or two centralized actors.

But if you can make that happen, I think that would be really, really cool. And I think it would be really, really impactful. Because I think one thing that's actually kind of worrisome is that as these models get better and better, they're going to become more and more economically useful. And so more and more of the world's information and data will flow through one or two centralized actors.

And then there are worries about there can be traditional hacker attempts, but it also creates this kind of scary part where If all of the world's information is flowing through one node in plain text, you can have surveillance in very bad ways. And sometimes that will happen for, you know, initially will be like good reasons.

And then there are worries about there can be traditional hacker attempts, but it also creates this kind of scary part where If all of the world's information is flowing through one node in plain text, you can have surveillance in very bad ways. And sometimes that will happen for, you know, initially will be like good reasons.

And then there are worries about there can be traditional hacker attempts, but it also creates this kind of scary part where If all of the world's information is flowing through one node in plain text, you can have surveillance in very bad ways. And sometimes that will happen for, you know, initially will be like good reasons.

Like people will want to try to protect against like bad actors using AI models in bad ways. And then you will add in some surveillance code and then someone else will come in and, you know, you're on a slippery slope and then you start... doing bad things with a lot of the world's data. And so I'm very hopeful that we can solve homomorphic encryption for language model inference.

Like people will want to try to protect against like bad actors using AI models in bad ways. And then you will add in some surveillance code and then someone else will come in and, you know, you're on a slippery slope and then you start... doing bad things with a lot of the world's data. And so I'm very hopeful that we can solve homomorphic encryption for language model inference.

Like people will want to try to protect against like bad actors using AI models in bad ways. And then you will add in some surveillance code and then someone else will come in and, you know, you're on a slippery slope and then you start... doing bad things with a lot of the world's data. And so I'm very hopeful that we can solve homomorphic encryption for language model inference.

Because I think a lot of this data would never have gone to the cloud providers in the first place. Where... This is often like you want to give more data to the EIA models. You want to give personal data that you would never have put online in the first place to these companies or to these models.

Because I think a lot of this data would never have gone to the cloud providers in the first place. Where... This is often like you want to give more data to the EIA models. You want to give personal data that you would never have put online in the first place to these companies or to these models.

Because I think a lot of this data would never have gone to the cloud providers in the first place. Where... This is often like you want to give more data to the EIA models. You want to give personal data that you would never have put online in the first place to these companies or to these models.

And it also centralizes control where right now for cloud, you can often use your own encryption keys and it just can't really do much. but here it's just centralized actors that see the exact plain text of everything.

And it also centralizes control where right now for cloud, you can often use your own encryption keys and it just can't really do much. but here it's just centralized actors that see the exact plain text of everything.

And it also centralizes control where right now for cloud, you can often use your own encryption keys and it just can't really do much. but here it's just centralized actors that see the exact plain text of everything.

I saw a time to shut down cursor. Time to shut down cursor, thank you.

I saw a time to shut down cursor. Time to shut down cursor, thank you.