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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

#41
post #22

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…

Are there any single-step non-reasoner models that do well on this benchmark? I wonder how well the latest Claude 3.5 Sonnet does on this benchmark and if it's near o1.

Here are the results for base models[1]:

  o3 (coming soon)  75.7% 82.8%
  o1-preview        18%   21%
  Claude 3.5 Sonnet 14%   21%
  GPT-4o            5%    9%
  Gemini 1.5        4.5%  8%
Score (semi-private eval) / Score (public eval)

[1]: https://arcprize.org/2024-results

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

#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.

Congrats to both Francois Chollet for developing this compelling eval, and to the researchers who saturated it!

[1] https://x.com/SmokeAwayyy/status/1870171624403808366, https://arxiv.org/html/2409.01374v1

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

#43
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

Compute can get optimized and cheap quickly.

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

#45
post #8

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

There’s a very good chance that if a company can replace its programmers with pure AI then it means whatever they’re doing is probably already being offered as a SaaS product so why not just skip the AI and buy that? Much cheaper and you don’t have to worry about dealing with bugs.

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

#46

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

To be fair, until the last checkpoint released 2 days ago, o1 didn't really beat sonnet (and if so, barely) in most non-competitive coding benchmarks

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

#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.

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

#48
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

Time and availability would also be factors.

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

#49

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.

You could make an equivalently dismissive comment about the hypesters.

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

#50
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…

I agree. If the LLMs we have today never got any smarter, the world would still be transformed over the next ten years.
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