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OpenAI O3 breakthrough high score on ARC-AGI-PUB

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

#141
Efficiency is now key.

~=$3400 per single task to meet human performance on this benchmark is a lot. Also it shows the bullets as "ARC-AGI-TUNED", which makes me think they did some undisclosed amount of fine-tuning (eg. via the API they showed off last week), so even more compute went into this task.

We can compare this roughly to a human doing ARC-AGI puzzles, where a human will take (high variance in my subjective experience) between 5 second and 5 minutes to solve the task. (So i'd argue a human is at 0.03USD - 1.67USD per puzzle at 20USD/hr, and they include in their document an average mechancal turker at $2 USD task in their document)

Going the other direction: I am interpreting this result as human level reasoning now costs (approximately) 41k/hr to 2.5M/hr with current compute.

Super exciting that OpenAI pushed the compute out this far so we could see he O-series scaling continue and intersect humans on ARC, now we get to work towards making this economical!

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

#142
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…

These comments are getting ridiculous. I remember when this test was first discussed here on HN and everyone agreed that it clearly proves current AI models are not "intelligent" (whatever that means). And people tried to talk me down when I theorised this test will get nuked soon - like all the ones before. It's time people woke up and realised that the old age of AI is over. This new kind is here to stay and it wil…

"it will take over the world"

Calibrating to the current hype cycle has been challenging with AI pronouncements.

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

#143

The general message here seems to be that inference-time brute-forcing works as long as you have a good search and evaluation strategy. We’ve seemingly hit a ceiling on the base LLM forward-pass capability so any further wins are going to be in how we juggle multiple inferences to solve the problem space. It feels like a scripting problem now. Which is cool! A fun space for hacker-engineers. Also: > My mental model f…

> We’ve seemingly hit a ceiling on the base LLM forward-pass capability so any further wins are going to be in how we juggle multiple inferences to solve the problem space

Not so sure - but we might need to figure out the inference/search/evaluation strategy in order to provide the data we need to distill to the single forward-pass data fitting.

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

#144
I would like to see this repeated with my highly innovative HARC-HAGI, which is ARC-AGI but it uses hexagons instead of squares. I suspect humans would only make slightly more brain farts on HARC-HAGI than ARC-AGI, but O3 would fail very badly since it almost certainly has been specifically trained on squares.

I am not really trying to downplay O3. But this would be a simple test as to whether O3 is truly "a system capable of adapting to tasks it has never encountered before" versus novel ARC-AGI tasks it hasn't encountered before.

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

#145
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…

These comments are getting ridiculous. I remember when this test was first discussed here on HN and everyone agreed that it clearly proves current AI models are not "intelligent" (whatever that means). And people tried to talk me down when I theorised this test will get nuked soon - like all the ones before. It's time people woke up and realised that the old age of AI is over. This new kind is here to stay and it wil…

I agree, it's like watching a meadow ablaze and dismissing it because it's not a 'real forest fire' yet. No it's not 'real AGI' yet, but *this is how we get there* and the pace is relentless, incredible and wholly overwhelming.

I've been blessed with grandchildren recently, a little boy that's 2 1/2 and just this past Saturday a granddaughter. Major events notwithstanding, the world will largely resemble today when they are teenagers, but the future is going to look very very very different. I can't even imagine what the capability and pervasiveness of it all will be like in ten years, when they are still just kids. For me as someone that's invested in their future I'm interested in all of the educational opportunities (technical, philosphical and self-awareness) but obviously am concerned about the potential for pernicious side effects.

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

#146
The LLM community has come up with tests they call 'Misguided Attention'[1] where they prompt the LLM with a slightly altered version of common riddles / tests etc. This often causes the LLM to fail.

For example I used the prompt "As an astronaut in China, would I be able to see the great wall?" and since the training data for all LLMs is full of text dispelling the common myth that the great wall is visible from space, LLMs do not notice the slight variation that the astronaut is IN China. This has been a sobering reminder to me as discussion of AGI heats up.

[1] https://github.com/cpldcpu/MisguidedAttention

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

#149
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.

SaaS works for general problems faced by many businesses.
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