[moffkalast]

I think fundamentally these models compress the learning data into network weights and connections, so in effect if the learning data was 6 + 10 = 16 and 9 + 10 = 19, then you give it 7 + 10 it'll interpolate between what it's seen or something of the sort, giving you something approximately right. It's also not lossless compression so what it may have actually inside is 9 + 10 = 18 so yeah.