Arvid Lunnemark
speaker
96 appearances
1 recordings
1 series
first heard Oct 2024
last heard Oct 2024
Arvid Lunnemark’s voice in public audio — every appearance, attributed to the second.
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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.
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.
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.
I saw a time to shut down cursor. Time to shut down cursor, thank you.
But it's also this, like, isolated system in Verify.
And you don't buy the idea that this is like an isolated system and you can actually, you have a good reward system and it feels like it's easier to train for that.
I would, but I do believe that we are limited in terms of ideas that we have.
I agree. I'm very excited to be able to change. One thing that happened recently was we wanted to do a relatively big migration to our codebase. We were using async local storage in Node.js, which is known to be not very performant, and we wanted to migrate to our context object. And this is a big migration and affects the entire codebase.
And Swal and I spent, I don't know, five days working through this, even with today's AI tools. And I am really excited for a future where I can just show a couple of examples and then the AI applies that to all of the locations. And then it highlights, oh, this is a new example. Like, what should I do? And then I show exactly what to do there. And then that can be done in like 10 minutes.
And then you can iterate much, much faster. Then you can... then you don't have to think as much upfront and stand at the blackboard and think exactly like, how are we going to do this? Because the cost is so high. But you can just try something first and you realize, oh, this is not actually exactly what I want. And then you can change it instantly again after.
And so, yeah, I think being a programmer in the future is going to be a lot of fun.
Yeah. And it's also not just like, like pressing tab is like the, just pressing tab. That's like the easy way to say it. And the, the catch catchphrase, you know, uh, but what you're actually doing when you're pressing tab is that you're, you're injecting intent, uh, all the time while you're doing it. You're, you're, uh, sometimes you're rejecting it. Sometimes you're typing a few more characters.
Um, and, and that's the way that you're, um, you're sort of shaping the things that's being created. And I think programming will change a lot to just what is it that you want to make?
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