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I work for openai.

o4-mini gets much closer (but I'm pretty sure it fumbles at the last moment): https://chatgpt.com/share/680031fb-2bd0-8013-87ac-941fa91cea...

We're pretty bad at model naming and communicating capabilities (in our defense, it's hard!), but o4-mini is actually a _considerably_ better vision model than o3, despite the benchmarks. Similar to how o3-mini-high was a much better coding model than o1. I would recommend using o4-mini-high over o3 for any task involving vision.

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jonahx 3 days ago | parent [-]

Thanks for the reply. I am not sure the vision is the failing point here, but logic. I routinely try to get these models to solve difficult puzzles or coding challenges (the kind that a good undergrad math major could probably solve, but that most would struggle with). They fail almost always. Even with help.

For example, JaneStreet monthly puzzles. Surprisingly, the new o3 was able to solve this months (previous models were not), which was an easier one. Believe me, I am not trying to minimize the overall achievement -- what it can do incredible -- but I don't believe the phrase AGI should even be mentioned until we are seeing solutions to problems that most professional mathematicians would struggle with, including solutions to unsolved problems.

That might not be enough even, but that should be the minimum bar for even having the conversation.

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og_kalu 3 days ago | parent [-]

>what it can do incredible -- but I don't believe the phrase AGI should even be mentioned until we are seeing solutions to problems that most professional mathematicians would struggle with, including solutions to unsolved problems.

But Why ? Why should Artificial General Intelligence preclude things a good chunk of humans wouldn't be able to do ? Are those guys no longer General Intelligences ?

I'm not saying this definition is 'wrong' but you have to realize at this point, the individual words of that acronym no longer mean anything.

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jonahx 3 days ago | parent [-]

Sure, there's no authority who stamps the official definition.

I'll make my case. To me, if you look at how the phrase is usually used -- "when humans have achieved AGI...", etc -- it evokes a science fiction turning point that implies superhuman performance in more or less every intellectual task. It's general, after all. I think of Hal or the movie Her. It's not "Artifical General Just-Like-Most-People-You-Know Intelligence". Though we are not there yet, either, if you consider the full spectrum of human abilities.

Few things would demonstrate general superhuman reasoning ability more definitively than machines producing new, useful, influential math results at a faster rate than people. With that achieved, you would expect it could start writing fiction and screenplays and comedy as well as people too (it's still very far imo), but maybe not, maybe those skills develop at different paces, and I still wouldn't want to call it AGI. But I think truly conquering mathematics would get me there.

	▲	nopinsight 2 days ago \| parent [-]
		A standard term people use for what you describe is superintelligence, not AGI. Current frontier models are better than average humans in many skills but worse in others. Ethan Mollick calls it “jagged frontier” which sounds about right.