Luke Drago: evaluation

Transcript context

…On A societal level, what you might get from handing over your tacit knowledge is a slightly better AI model. But on a personal level, if you're a maths PhD student on a low salary, and you might get offered hundreds of dollars per proof that you provide with a step-by-step solution to train a model on. That is quite an economic incentive. Do you think we as a society will be able to overcome this incentive to give up our data just when the individual incentive is so strong? This is part of the arms race, and it's why we are laser-focused on delivering models that aren't just like kind of okay and private, but are better at your existing work than an off-the-shelf model because of the data that they have. And because of this, your work improves. I don't think it's the case that you can win this game by walking in and saying, look, we have worse tools and we can't pay you, but don't worry, it's private. People don't make decisions like that. The answer has got to be the default tool that you want to use cares about what's going on here. And I think Apple is a fantastic situation here, where Apple at its bones is what I would call a privacy second company. It is for very few people, the selling point for Apple is rarely, oh, this thing is entirely private. But Apple understands that they are, especially in the United States, they are the infrastructure with which almost all modern communications happens. And so they understand they have a responsibility to protect user privacy. And so unlike many other companies, they have locked everything down to ensure that your messages are private, that your phone calls are private, that your interactions are private, that your device doesn't get a virus, and they've gone through painstaking efforts so that you know that device is always reliable and always works for you. Anthony Guire at FLI has a paper on loyal AI assistants, and I know he talks about it as well, in Keep the Future Human. But you have got to know that the model that is helping organize and orchestrate your life works for you, not for someone else. And that means it has to be good at working for you, and it has to be verifiably working for you. And I think that's how we plan on overcoming some of these incentives. I don't think the labs are going to pay every single human on earth a couple $100 to gather up all their data. And I think that might be kind of the scale of what they need to do to actually beat this with that kind of incentives. So I think by delivering an actually better experience for users, and then secondly, layering on extraordinary protections here, we can both serve customers well and fulfill our impact. How would we guarantee that the data that I'm providing, say, that data remains private? Is there a way to do that without just trusting Workshop Labs?…

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