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Wake up, babe, new OpenAI frontier model just dropped.
Well, you can’t actually use it yet. But the benchmarks scores are a dramatic leap up.. Perhaps most strikingly, o3 does VERY well on one of the most important and influential benchmarks, the ARC AGI challenge, getting 87% accuracy compared to just 32% from o1. Creator of the challenge François Chollet seems very impressed.
What does all this mean? My view is that this confirms we’re near the end-zone. We shouldn’t expect achieving human-level intelligence to be hard in the first place, given all the additional constraints evolution had to endure in building us (metabolic costs of neurons, infant skull size vs size of the birth canal, etc.). Since we hit the forcing-economy stage with AI sometime in the late 2010s, ever greater amounts of human capital and compute have been dedicated to the problem, so we shouldn’t be surprised. My mood is well captured by this reflection on Twitter from OpenAI researcher Nick Cammarata:
For the record, Chollet says (in the thread you linked to):
This isn't an argument, I just think it's important to temper expectations - from what I can tell, that o3 will probably still be stumbling over "how many 'rs' in strawberrry" or something like that.
They won't ring a bell when AGI happens, but it will feel obvious in retrospect. Most people acknowledge now that ChatGPT 3.5 passed the Turing Test in 2022. But I don't recall any parades at the time.
I wonder if we'll look back on 2025 the same way.
Did it? Has the turing test been passed at all?
An honest question: how favorable is the Turing Test supposed to be to the AI?
If all these things hold, then I don't think we're anywhere close to passing this test yet. ChatGPT 3.5 would fail instantly as it will gleefully announce that it's an AI when asked. Even today, it's easy for an experienced chatter to find an AI if they care to suss it out. Even something as simple as "write me a fibonacci function in Python" will reveal the vast majority of AI models (they can't help themselves), but if the tester is allowed to use well-crafted adversarial inputs, it's completely hopeless.
If we allow a favorable test, like not warning the human that they might be talking to an AI, then in theory even ELIZA might have passed it a half-century ago. It's easy to fool people when they're expecting a human and not looking too hard.
Only due to the RLHF and system prompt; that's an issue with the implementation, not the technology.
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