2 ms·
Fair point, but accurate versus efficient are different. While humans do acquire language much more efficiently, these models "know" more than a human about mos
by mindvirus 3y ago
Fair point, but accurate versus efficient are different. While humans do acquire language much more efficiently, these models "know" more than a human about most things - in that if you asked it to describe each of the 100 most popular subjects or books it would have no trouble doing so (in a dozen languages no less). So I don't think it's quite an apples to apples comparison.
- lisper 3y ago> these models "know" more than a human about most things So does Wikipedia. But that's not a good model of the human brain either. > I don't think it's quite an apples to apples comparison. Yes. That is exactly my point. Despite the superficially similar I/O behavior, the two systems are very different under the hood.
- fastball 3y agoI don't think anyone has argued that LLMs are effectively digital humans or digital human brains, so seems like you're strawmanning a bit here.
- krainboltgreene 3y agoYou aren't reading enough of HN/Twitter then.
- int_19h 3y agoTwitter is a madhouse, but as for HN, the closest I've seen anyone come to that here is claiming that the difference in underlying structure can/does lead to emergence of the same phenomena.