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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

#71

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…

This emphasizes persons and a self-conceived victory narrative over the ground truth.

Models have regularly made progress on it, this is not new with the o-series.

Doing astoundingly well on it, and having a mutually shared PR interest with OpenAI in this instance, doesn't mean a pile of visual puzzles is actually AGI or some well thought out and designed benchmark of True Intelligence(tm). It's one type of visual puzzle.

I don't mean to be negative, but to inject a memento mori. Real story is some guys get together and ride off Chollet's name with some visual puzzles from ye olde IQ test, and the deal was Chollet then gets to show up and say it proves program synthesis is required for True Intelligence.

Getting this score is extremely impressive but I don't assign more signal to it than any other benchmark with some thought to it.

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

#72
post #47
post #24

O3 High (tuned) model scored an 88% at what looks like $6,000/task haha I think soon we'll be pricing any kind of tasks by their compute costs. So basically, human = $50/task, AI = $6,000/task, use human. If AI beats human, use AI? Ofc that's considering both get 100% scores on the task

That's the elephant in the room with the reasoning/COT approach, it shifts what was previously a scaling of training costs into scaling of training and inference costs. The promise of doing expensive training once and then running the model cheaply forever falls apart once you're burning tens, hundreds or thousands of dollars worth of compute every time you run a query.

Yeah, but next year they'll come out with a faster GPU, and the year after that another still faster one, and so on. Compute costs are a temporary problem.

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

#73
Great results. However, let's all just admit it.

It has well replaced journalists, artists and on its way to replace nearly both junior and senior engineers. The ultimate intention of "AGI" is that it is going to replace tens of millions of jobs. That is it and you know it.

It will only accelerate and we need to stop pretending and coping. Instead lets discuss solutions for those lost jobs.

So what is the replacement for these lost jobs? (It is not UBI or "better jobs" without defining them.)

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

#76
post #42

Human performance is 85% [1]. o3 high gets 87.5%. This means we have an algorithm to get to human level performance on this task. If you think this task is an eval of general reasoning ability, we have an algorithm for that now. There's a lot of work ahead to generalize o3 performance to all domains. I think this explains why many researchers feel AGI is within reach, now that we have an algorithm that works. Congrat…

What’s interesting is it might be very close to human intelligence than some “alien” intelligence, because after all it is a LLM and trained on human made text, which kind of represents human intelligence.

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

#78
post #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…

I just googled arc agi questions, and it looks like it is similar to an iq test with raven matrix. Similar as in you have some examples of images before and after, then an image before and you have to guess the after. Could anyone confirm if this is the only kind of questions in the benchmark? If yes, how come there is such a direct connection to "oh this performs better than humans" when llm can be quite better than…

ML is quite good at understanding and forecasting patterns when you train on the data you want to forecast. LLMs manage to do so much because we just decided to train on everything on the internet and hope that it included everything we ever wanted to know.

This tries to create patterns that are intentionally not in the data and see if a system can generalize to them, which o3 super impressively does!

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

#79
post #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…

It doesn't need to be general intelligence or perfectly map to human intelligence. All it needs to be is useful. Reading constant comments about LLMs can't be general intelligence or lack reasoning etc, to me seems like people witnessing the airplane and complaining that it isn't "real flying" because it isn't a bird flapping its wings (a large portion of the population held that point of view back then). It doesn't…

> Reading constant comments about LLMs can't be general intelligence or lack reasoning etc, to me seems like people witnessing the airplane and complaining that it isn't "real flying" because it isn't a bird flapping its wings (a large portion of the population held that point of view back then).

That is a natural reaction to the incessant techbro, AIbro, marketing, and corporate lies that "AI" (or worse AGI) is a real thing, and can be directly compared to real humans.

There are people on this very thread saying it's better at reasoning than real humans (LOL) because it scored higher on some benchmark than humans... Yet this technology still can't reliably determine what number is circled, if two lines intersect, or count the letters in a word. (That said behaviour may have been somewhat finetuned out of newer models only reinforces the fact that the technology inherently not capable of understanding anything.)

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

#80
post #44

Just as an aside, I've personally found o1 to be completely useless for coding. Sonnet 3.5 remains the king of the hill by quite some margin

The new gemini's are pretty good too

Actually prefer new geminis too. 2.0 experimental especially.
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