Luke Drago: prediction

Transcript context

…I actually think you could see a future in which there is this form of, there's a tension between leadership at a company and the workers at a company where the workers are unwilling to give up their tacit and local knowledge to be to model for that model to train on. And company leadership might be quite interested in gathering that data and training on it so that they can reduced labor costs. So is that perhaps some, and the new tension in the economy? So I think that's one of the tensions. But I also think, one thing that I think people oftentimes forget is that 50% of Americans work at a small and medium-sized business. These are not the kinds of companies that have hundreds of people with which they can mine surface level data from. These are the kinds of companies where like most people on the team are doing something that actually matters. as in, if they didn't show up for work, something wouldn't work. And because of that, they have lots of specific information about their processes that are really important. I think the outcome I'm excited by is 1 where AI shifts the direction away from extremely large companies, because look, candidly, a lot of those tasks are automatable today, but Humans retain this advantage or are able to put to use their existing advantages with that embodied experience and are able to train models that can help them compete much faster and better, creating an explosion of small companies and small enterprises that really understand what's going on locally and ultimately help break that efficiency gap we usually see where large companies are more efficient because of their scale, because we can put so much intelligence to work for the average person. But I think this really, really means that those important things that make you competitive just shouldn't be given away. I'm a strong believer that data is kind of the new social security number. And I read a piece about this a while back, where the thing that you got for caring about privacy in 2015, candidly, was worse ads. There are some exceptions, right? Like dissidents obviously need to care about privacy. People in authoritarian countries who are talking bad about the government need to care about this. But for the vast majority of people and the vast majority of cases, you got worse ads. I think in the next 10 years, if you aren't careful with that proprietary info, if you say, all right, lab A, I'm going to give you everything in my life to get moderately better ChatGPT results, and they don't lock this down for you, and they don't take extreme care to make sure they aren't going to train on it, you are one button push away from having someone hoover up that data and sell it to the highest bidder and use it to automate you out of the economy. That is a much different situation for the value of your data, and I think people would do a whole lot better if they'd start caring about that that soon. I don't think we're there quite yet, but part of the reason that we care so much about privacy at workshop is because we are aiming at creating a solution that is able to guarantee these things so that we can't use that data to automate you. 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?…

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