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OpenAI O3 breakthrough high score on ARC-AGI-PUB

arcprize.org

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Re: OpenAI O3 breakthrough high score on ARC-AGI-PUB

#13
Congratulations to Francois Chollet on making the most interesting and challenging LLM benchmark so far.

A lot of people have criticized ARC as not being relevant or indicative of true reasoning, but I think it was exactly the right thing. The fact that scaled reasoning models are finally showing progress on ARC proves that what it measures really is relevant and important for reasoning.

It's obvious to everyone that these models can't perform as well as humans on everyday tasks despite blowout scores on the hardest tests we give to humans. Yet nobody could quantify exactly the ways the models were deficient. ARC is the best effort in that direction so far.

We don't need more "hard" benchmarks. What we need right now are "easy" benchmarks that these models nevertheless fail. I hope Francois has something good cooked up for ARC 2!

Re: OpenAI O3 breakthrough high score on ARC-AGI-PUB

#14
fun! the benchmarks are so interesting because real world use is so variable. sometimes 4o will nail a pretty difficult problem, other times o1 pro mode will fail 10 times on what i would think is a pretty easy programming problem and i waste more time trying to do it with ai

Re: OpenAI O3 breakthrough high score on ARC-AGI-PUB

#16
post #8

How much longer can I get paid $150k to write code ?

Often what happens is the golf-course phenomenon. As golfing gets less popular, low and mid tier golf courses go out of business as they simply aren't needed. But at the same time demand for high end golf courses actually skyrockets because people who want to golf either can give it up or go higher end.

This I think will happen with programmers. Rote programming will slowly die out, while demand for super high end will go dramatically up in price.

Re: OpenAI O3 breakthrough high score on ARC-AGI-PUB

#17
Why would they give a cost estimate per task on their low compute mode but not their high mode?

"low compute" mode: Uses 6 samples per task, Uses 33M tokens for the semi-private eval set, Costs $17-20 per task, Achieves 75.7% accuracy on semi-private eval

The "high compute" mode: Uses 1024 samples per task (172x more compute), Cost data was withheld at OpenAI's request, Achieves 87.5% accuracy on semi-private eval

Can we just extrapolate $3kish per task on high compute? (wondering if they're withheld because this isn't the case?)

Re: OpenAI O3 breakthrough high score on ARC-AGI-PUB

#18

This is also wildly ahead in SWE-bench (71.7%, previous 48%) and Frontier Math (25% on high compute, previous 2%). So much for a plateau lol.

> So much for a plateau lol.

It’s been really interesting to watch all the internet pundits’ takes on the plateau… as if the two years since the release of GPT3.5 is somehow enough data for an armchair ponce to predict the performance characteristics of an entirely novel technology that no one understands.

Re: OpenAI O3 breakthrough high score on ARC-AGI-PUB

#19
My initial impression: it's very impressive and very exciting.

My skeptical impression: it's complete hubris to conflate ARC or any benchmark with truly general intelligence.

I know my skepticism here is identical to moving goalposts. More and more I am shifting my personal understanding of general intelligence as a phenomenon we will only ever be able to identify with the benefit of substantial retrospect.

As it is with any sufficiently complex program, if you could discern the result beforehand, you wouldn't have had to execute the program in the first place.

I'm not trying to be a downer on the 12th day of Christmas. Perhaps because my first instinct is childlike excitement, I'm trying to temper it with a little reason.

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