the limitation is specifically using the primary machine learning technique, same one all chatbots use at places claiming to pursue agi, which is statistical imitation, is np-hard.
Comment on Don’t believe the hype: AGI is far from inevitable
ChairmanMeow@programming.dev 1 month agoI was more hinting at that through conventional computational means we’re just not getting there, and that some completely hypothetical breakthrough somewhere is required. QC is the best guess I have for where it might be but it’s still far-fetched.
But yes, you’re absolutely right that QC in general isn’t a magic bullet here.
Umbrias@beehaw.org 1 month ago
ChairmanMeow@programming.dev 1 month ago
Not just that, they’ve proven it’s not possible using any tractable algorithm. If it were you’d run into a contradiction. Their example uses basically any machine learning algorithm we know, but the proof generalizes.
Umbrias@beehaw.org 1 month ago
via statistical imitation. other methods, such as solving and implementing by first principles analytically, has not been shown to be np hard. the difference is important but the end result is still no agigpt in the foreseeable and unforeseeable future.
zygo_histo_morpheus@programming.dev 1 month ago
Yeah thought that might be the case! It’s just a thing that a lot of people have misconceptions about so it’s something that I have a bit of a knee jerk reaction to.
ChairmanMeow@programming.dev 1 month ago
Haha it’s good that you do though, because now there’s a helpful comment providing more context :)