Luke Drago: evaluation

Transcript context

…Yeah. One barrier to automation that you mentioned in the essay series is local and tacit knowledge. And this will be knowledge that's spread out, that's difficult to formalize in the way that you can train models on it. And it's knowledge that's perhaps shifting constantly. And so it intersects with taste and judgment in a sense. Yeah, is this knowledge and this local and tacit knowledge, is that a way for us to remain relevant? So this is part of our belief at Workshop Labs. I think if I summarized our thesis in two sentences, it's that We believe that the bottleneck to long-term AI progress runs through high-quality data, specifically data on tacit knowledge and local information. That's both the skills that you have, that you accrue throughout doing the things that you do. That's really hard to digitize, not because it's impossible to digitize, but because it's hard to know where to get it, because you have it. And second, local information, the kind of things that you see around you, the opportunities that you can spot because you are an embodied person with access to real-time information about everything in your sphere. Right now, the labs really want this data. It's why there's a rush to integrate into your browser. It's why there's a rush to build these bespoke RL environments where an expert gets involved in helping to create a model that's really good at this one task. But you have a distinct advantage, which is that right now you have that data. The kind of data that is valuable to AI progress is in your pocket and on your laptop, and it's in your day-to-day life. So our proposition is Why don't we take that data and put it to use for you entirely privately so that you don't have to trust us. We just can't train a model and sell the data to your boss. We can't train a larger model to automate you, but we can take an existing model and dramatically tune it towards your work, lock it down so that only you can use it and let you put it to work. I think you should have control over the tools that augment you and you should reap the benefits of the data that already exists in your world. And that's what we're aiming to do here at Workshop. 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?…

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