2 ms·
Maybe it has trained to have connections like no => pun => in => ten => did => "joke, on 'no pun was intended'". In this case I wouldn't say it got the joke, b
by mewpmewp2 4y ago
Maybe it has trained to have connections like no => pun => in => ten => did => "joke, on 'no pun was intended'".
In this case I wouldn't say it got the joke, but it's just memorised that this popular order of words would be this particular joke. I wonder if you change the order os somehow tweak the joke a bit so it would be something that shouldn't be in the training data?
- visarga 4y agoI think you're right, the exact phrase appears 130K times in Google. But it can spell any word. I tested both in text-davinvi-003 and chatGPT, both initially refused to spell the garbage word "khfsihciweb" but after insisting they did it. It can even invent readings for acronyms that don't exist: Acronym: CNN Expand: Convolutional Neural Network Acronym: PNP Expand: Plug and Play Acronym: SHDJ Expand: Super High-Definition Jukebox Acronym: HEDUE Expand: Higher Education Digital User Experience Acronym: SHADBEESHQEKSIHXHGESLS Expand: Super Highly Advanced Digitalized Bionic Electronic Exoskeleton Super Human Quality Exoskeleton Kit for Super High-Gravity Environments and Space Living