> The first company to figure out how to leverage the massive unlabeled data that is available will win the AI arms race. Well, in many tasks, this is already

> The first company to figure out how to leverage the massive unlabeled data that is available will win the AI arms race. Well, in many tasks, this is already solved. E.g. speech recognition or translation. Or just think about language modeling. The main problem is mostly just computing time and/or computing resources. We have enough supervised training data to train our model for weeks. We basically have an almost infinite amount of unsupervised data. So yes, we could in theory make the model bigger and then train it for months or years. But that's not really practical currently.