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kkilliandunne1 about 13 hours ago 5 commentsRead Article on laugh.so
What if you could measure humor?

Well we've trained a model on our own dataset of ~50k human ratings to detect what jokes people find funniest. We know it's part objective, part subjective component. Subjective is out of our depth for now haha

The main results: Fable 5 is funniest - beating the average model 67% of the time, with GPT 4o last at 17%.

Other findings: - The models never refused to try, even with dark prompts - Thinking longer has a slight benefit - Absurdness correlates negatively with joke quality

Some methodology notes: - We benchmarked our model against the human majority and it agreed 72% of the time in a blind sample test. - We had 51 US adults rate the jokes, each blind to the models, with joke order randomized, and quality checked for attention and speed. - To rate some yourself visit https://pair.laugh.so

The full benchmark here:

https://laugh.so/benchmark

Am taking requests if there's more research you want to see! Cheers

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Discussion (5 Comments)Read Original on HackerNews

maxzhdevβ€’about 8 hours ago
I can’t imagine how to correctly assess the ability to humor, because this is a very subjective and relative phenomenon. The work ahead is serious
dlcarrierβ€’about 12 hours ago
Can you also measure how often the LLM response makes people laugh? Sometimes the responses that aren't attempting a joke are the funniest, and I'd be more interested in stats of which LLM succeed in that metric.
killiandunne1β€’about 12 hours ago
Interesting point - thoughts on how to do this? Honestly most models are not-to-kinda funny so I'd be surprised if there were many lol moments. Oral delivery is something I think is v interesting though
rafaeptaβ€’about 13 hours ago
measuring humor might be halfway to measuring taste. congrats on this... really original contribution. wonder if you're planning to evolve the benchmark to incorporate a multi-language dimension. would love to see how Mistral and models built outside the US would perform.
killiandunne1β€’about 13 hours ago
Nice a good way to 10x inference costs... worth seeing though ahaha