Live data from Hacker News

OpenAI O3 breakthrough high score on ARC-AGI-PUB

arcprize.org

211–220 of 1001 posts

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

#211

Let me go against some skeptics and explain why I think full o3 is pretty much AGI or at least embodies most essential aspects of AGI. What has been lacking so far in frontier LLMs is the ability to reliably deal with the right level of abstraction for a given problem. Reasoning is useful but often comes out lacking if one cannot reason at the right level of abstraction. (Note that many humans can't either when they…

GPQA scores are mostly from pre-training, against content in the corpus. They have gone silent but look at the GPT4 technical report which calls this out.

We are nowhere close to what Sam Altman calls AGI and transformers are still limited to what uniform-TC0 can do.

As an example the Boolean Formula Value Problem is NC1-complete, thus beyond transformers but trivial to solve with a TM.

As it is now proven that the frame problem is equivalent to the halting problem, even if we can move past uniform-TC0 limits, novelty is still a problem.

I think the advancements are truly extraordinary, but unless you set the bar very low, we aren't close to AGI.

Heck we aren't close to P with commercial models.

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

#212
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.

Is it? The moore’s law is dead dead, I don’t think this is a given.

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

#213

Let me go against some skeptics and explain why I think full o3 is pretty much AGI or at least embodies most essential aspects of AGI. What has been lacking so far in frontier LLMs is the ability to reliably deal with the right level of abstraction for a given problem. Reasoning is useful but often comes out lacking if one cannot reason at the right level of abstraction. (Note that many humans can't either when they…

Quote from the creators of the AGI-ARC benchmark: "Passing ARC-AGI does not equate achieving AGI, and, as a matter of fact, I don't think o3 is AGI yet. o3 still fails on some very easy tasks, indicating fundamental differences with human intelligence."

I'd need to see what kinds of easy tasks those are and would be happy to revise my hypothesis if that's warranted.

Also, it depends a great deal on what we define as AGI and whether they need to be a strict superset of typical human intelligence. o3's intelligence is probably superhuman in some aspects but inferior in others. We can find many humans who exhibit such tendencies as well. We'd probably say they think differently but would still call them generally intelligent.

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

#214
Complete aside here: I used to do work with amputees and prosthetics. There is a standardized test (and I just cannot remember the name) that fits in a briefcase. It's used for measuring the level of damage to the upper limbs and for prosthetic grading.

Basically, it's got the dumbest and simplest things in it. Stuff like a lock and key, a glass of water and jug, common units of currency, a zipper, etc. It tests if you can do any of those common human tasks. Like pouring a glass of water, picking up coins from a flat surface (I chew off my nails so even an able person like me fails that), zip up a jacket, lock your own door, put on lipstick, etc.

We had hand prosthetics that could play Mozart at 5x speed on a baby grand, but could not pick up a silver dollar or zip a jacket even a little bit. To the patients, the hands were therefore about as useful as a metal hook (a common solution with amputees today, not just pirates!).

Again, a total aside here, but your comment just reminded me of that brown briefcase. Life, it turns out, is a lot more complex than we give it credit for. Even pouring the OJ can be, in rare cases, transcendent.

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

#215
The more Hacker News worthy discussion is the part where the author talks about search through the possible mini-program space of LLMs.

It makes sense because tree search can be endlessly optimized. In a sense, LLMs turn the unstructured, open system of general problems into a structured, closed system of possible moves. Which is really cool, IMO.

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

#216

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

Yeah I feel for chat use case, o1 is just too slow for me, and my queries aren’t that complicated.

For coding, o1 is marvelous at Leetcode question I think it is the best teacher I would ever afford to teach me leetcoding, but I don’t find myself have a lot of other use cases for o1 that is complex and requires really long reasoning chain

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

#218

Another meaningless benchmark, another month—it’s like clockwork at this point. No one’s going to remember this in a month; it’s just noise. The real test? It’s not in these flashy metrics or minor improvements. The only thing that actually matters is how fast it can wipe out the layers of middle management and all those pointless, bureaucratic jobs that add zero value. That’s the true litmus test. Everything else? I…

Agreed, but isn't it management who decides that this would be implemented? Are they going to propogate their own removal?

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

#220

Let me go against some skeptics and explain why I think full o3 is pretty much AGI or at least embodies most essential aspects of AGI. What has been lacking so far in frontier LLMs is the ability to reliably deal with the right level of abstraction for a given problem. Reasoning is useful but often comes out lacking if one cannot reason at the right level of abstraction. (Note that many humans can't either when they…

Personally I find "human-level" to be a borderline meaningless and limiting term. Are we now super human as a species relative to ourselves just five years ago because of our advances in developing computer programs that better imitate what many (but far from all) of us were already capable of doing? Have we reached a limit to human potential that can only be surpassed by digital machines? Who decides what human level is and when we have surpassed it? I have seen some ridiculous claims about ai in art that don't stand up to even the slightest scrutiny by domain experts but that easily fool the masses.
Post reply on HN