Hacker News Reader

>> You put that information into the dataset. In supervised learning it's called labels.

I was assuming that the "general purpose computing" training dataset would be so unfathomably large that unsupervised learning would be a necessity.

Who is going to label the "general purpose computing" training dataset and how would it be persisted?

View on HN

> Who is going to label the "general purpose computing" training dataset

That's what i imagined to be easy to automate. We have tons of inputs* and real computers, that will output what real computers would output.

* and hopefully the knowledge to come up with a set of inputs that (together with an actual general purpose computer) contains the essence of what general purpose computing is.

Reply on news.ycombinator.com