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Training a trillion parameter model to be funny

jokegen.sdan.io

31–40 of 42 posts

Re: Training a trillion parameter model to be funny

#32
The new Alexa is always cracking jokes about things I ask her. Sometimes pretty complex or off the wall jokes. They're rarely funny but usually competent, unlike other AIs in my experience. I wonder how much work went into that.

That said, I absolutely hate it. I want the tersest response possible from you, wiretap. I don't have time for your sass.

Re: Training a trillion parameter model to be funny

#33

I made a humor evals https://github.com/kristopolous/humor-evals Here's results for 34 models (testing a few more right now). So far gemini-3-flash-preview is in the lead. https://docs.google.com/spreadsheets/d/1wLqHA0ohxukgPLpSgklz... 50 is coin-toss odds. The dataset is 195,000 Reddit jokes with scores presented with pairs of jokes (one highly upvoted, one poorly rated). Example prompt: Which joke from reddit is fu…

Try Kimi K2 (not the new 2.5), it's known for its default voice being decidedly casual and different from most models.

Re: Training a trillion parameter model to be funny

#35
post #32

The new Alexa is always cracking jokes about things I ask her. Sometimes pretty complex or off the wall jokes. They're rarely funny but usually competent, unlike other AIs in my experience. I wonder how much work went into that. That said, I absolutely hate it. I want the tersest response possible from you, wiretap. I don't have time for your sass.

I can’t speak to the new one, but I wonder if she taps the old Alexa’s human-written bank of corporate-safe dad jokes for inspiration:

https://www.aboutamazon.com/news/devices/inside-the-writers-...

Re: Training a trillion parameter model to be funny

#36
As someone who is exceptionally funny even when no one else is laughing and by nature not nurture I do need to suggest using the many books breaking down the art for custom reassembly. To quote the only thing I remember: The difference between someone who is funny and a professional comedian is that the later adds additional puns to their joke and finds ways to sort them so that the funniest comes last. If you bombard the human with puns and plot twists a state of funny may be accomplished that no lone joke can approach.

Out of all ways ai can kill humans this is easily the funniest.

Re: Training a trillion parameter model to be funny

#37
post #21

Earlier quoted context omitted.

Laughter is a decent signal, but it can be noise if the audience is uncomfortable or trying to please. Does the joke teller count as being part of the audience? I imagine if someone is telling the joke...they must think it is funny, so in most cases at least 1 participant thinks its funny. Sometimes jokes are unintended, maybe a faux pas, and it might be inappropriate for someone to laugh...does it make it not a joke…

Laughter isn’t a perfect signal, but is the only signal in all the noise you mentioned

It can get quite interesting in group dynamics between people that really know each other, inside jokes, subtle cleverness, etc...

Humor may be the saving grace of humanity!

Re: Training a trillion parameter model to be funny

#40

Circa GPT-3.5 to GPT-4o I was involved in some research in figuring out how to make LLMs funny. We tried a bunch of different things, from giving it rules on homonym jokes [1], double-entendre jokes, fine tuning on comedian transcripts, to fine tuning on publicly rated joke boards. We could not make it funny. Also interesting was that when CoT research was getting a lot of attention, we tried a joke version of CoT, a…

There are very good, less known, models that produce funny and highly creative outputs when nudged in a good way. Premier models are just plain meh in this space.
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