>Machine learning algorithms eventually determined how to spot when participants were answering a question and which one of the 24 answers they were choosing S

>Machine learning algorithms eventually determined how to spot when participants were answering a question and which one of the 24 answers they were choosing Seems like it might be a bit of an overstatement to say that Facebook is close to anything of the sort. Assuming that neural typing is as simple as running some real-time classification algorithm on brain states, to predict words correctly you'd have to be able to predict about tens of thousands of different possibilities. Not to mention the more difficult problem of individual idiosyncrasies in neural architecture and language embeddings for any given brain. Building a word classifier for a single brain is one thing, but I doubt if any two brains process language in the exact same way, so building some general-purpose classification model that works on all brains still seems intractable with current ML techniques. It's a nice start, but I think we're a long way from fully automatic neural typing.