Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

Watson scoring something for truth is only as good as the data drawn from. Who decides that data? Jeopardy questions center around long-established, non-controversial information; how does a Watson-like system evaluate unprecedented breaking news? It's not a question of the language used, it's a much, much higher-order issue that current Watson sidesteps.


Agreed, much more difficult, but ultimately the same way we do so? We believe certain ideas to be facts (hopefully based on scientific sources), then we parse incoming information in light of those.

I can't imagine an unprecedented breaking news story that has no basis in any factual information. I'm not talking about an upvoter here, but primarily a downvoter (incongruence with accepted facts being easier to prove than vice versus).


Sure, and that's the higher-order problem. If we could make machines that solve any problem the way we do, we'd be a lot closer to AGI, but for now, it's still science fiction for a computer to have beliefs, and understand information in the context of those beliefs.


I don't think ranking new information according to held beliefs is necessarily that far towards AGI (admittedly, strong NLP may be, though).

There's no fundamentally creative step in deciding "How well does this new piece of information match pieces I previously had"?




Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: