>AI model performs astounding feat everyone claimed was impossible or won’t be achieved for a while >Commenters on HN claim it must not be that hard, or OpenAI is lying, or cheated. Anything but admit that it is impressive Every time on this site lol. A lot of people here have an emotional aversion to accepting AI progress. They’re deep in the bargaining/anger/denial phase.
Get ready to downvoted, the wave of single minded is coming
OpenAI claims gold-medal performance at IMO 2025
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Re: OpenAI claims gold-medal performance at IMO 2025
#422>AI model performs astounding feat everyone claimed was impossible or won’t be achieved for a while >Commenters on HN claim it must not be that hard, or OpenAI is lying, or cheated. Anything but admit that it is impressive Every time on this site lol. A lot of people here have an emotional aversion to accepting AI progress. They’re deep in the bargaining/anger/denial phase.
Re: OpenAI claims gold-medal performance at IMO 2025
#423Earlier quoted context omitted.
Off topic, but am I the only one getting triggered every time I see a rationalist quantify their prediction of the future with single digit accuracy? It's like their magic way of trying to get everyone to forget that they reached their conclusion in completely hand-wavy way, just like every other human being. But instead of saying "low confidence" or "high confidence" like the rest of us normies, they will tell you t…
Would you also get triggered if you saw people make a bet at, say, $24 : $87 odds? Would you shout: "No! That's too precise, you should bet $20 : $90!"? For that matter, should all prices in the stock market be multiples of $1, (since, after all, fluctuations of greater than $1 are very common)? If the variance (uncertainty) in a number is large, correct thing to do is to just also report the variance, not to round t…
No.
I responded to the same point here: https://news.ycombinator.com/item?id=44618142
> correct thing to do is to just also report the variance
And do we also pull this one out of thin air?
Using precise number to convey extremely unprecise and ungrounded opinions is imho wrong and to me unsettling. I'm pulling this purely out of my ass, and maybe I am making too much out of it, but I feel this is in part what is causing the many cases of very weird, and borderline associal/dangerous behaviours of some associated with the rationalists movement. When you try to precisely quantify what cannot be, and start trusting those numbers too much, you can easily be led to trust your conclusions way too much. I am 56% confident this is a real effect.
Re: OpenAI claims gold-medal performance at IMO 2025
#424Earlier quoted context omitted.
I know it’s a meme but there actually are fully self driving cars, they make thousands of trips every day in a couple US cities.
> in a couple US cities FWIW, when you get this reductive with your criterion there were technically self-driving cars in 2008 too.
And both of these reduce traffic
Re: OpenAI claims gold-medal performance at IMO 2025
#425And of course it's available even in Icelandic, spoken by ~300k people, but not a single Indian language, spoken by hundreds of millions. भारत दुर्दशा न देखी जाई...
We detached this subthread from https://news.ycombinator.com/item?id=44615783.
Re: OpenAI claims gold-medal performance at IMO 2025
#426>AI model performs astounding feat everyone claimed was impossible or won’t be achieved for a while >Commenters on HN claim it must not be that hard, or OpenAI is lying, or cheated. Anything but admit that it is impressive Every time on this site lol. A lot of people here have an emotional aversion to accepting AI progress. They’re deep in the bargaining/anger/denial phase.
Sort of a naive response, considering many of the folks calling out the issues have significant experience building with LLMs or building LLMs.
Finance, chemistry, biology, medicine.
Re: OpenAI claims gold-medal performance at IMO 2025
#427I am neither an optimist nor a pessimist for AI. I would likely be called both by the opposite parties. But the fact that AI / LLM is still rapidly improving is impressive in itself and worth celebrating for. Is it perfect, AGI, ASI? No. Is it useless? Absolutely not. I am just happy the prize is so big for AI that there are enough money involve to push for all the hardware advancement. Foundry, Packaging, Interconne…
But unlike the trillion dollars invested in the broadband internet build out between 1998 and 2008, when this 10 year trillion dollar bubble pops, we won't be left with an enduring and useful piece of infrastructure adding a trillion dollars to the global economy annually.
Re: OpenAI claims gold-medal performance at IMO 2025
#428>AI model performs astounding feat everyone claimed was impossible or won’t be achieved for a while >Commenters on HN claim it must not be that hard, or OpenAI is lying, or cheated. Anything but admit that it is impressive Every time on this site lol. A lot of people here have an emotional aversion to accepting AI progress. They’re deep in the bargaining/anger/denial phase.
Sort of a naive response, considering many of the folks calling out the issues have significant experience building with LLMs or building LLMs.
Re: OpenAI claims gold-medal performance at IMO 2025
#429>AI model performs astounding feat everyone claimed was impossible or won’t be achieved for a while >Commenters on HN claim it must not be that hard, or OpenAI is lying, or cheated. Anything but admit that it is impressive Every time on this site lol. A lot of people here have an emotional aversion to accepting AI progress. They’re deep in the bargaining/anger/denial phase.
Given that AI companies are constantly trying to slurp up any and all data online, if the model was derived from existing work, it's maybe less impressive than at first glance. If present-day model does well at IMO 2026, that would be nice.
Re: OpenAI claims gold-medal performance at IMO 2025
#430Noam Brown: > this isn’t an IMO-specific model. It’s a reasoning LLM that incorporates new experimental general-purpose techniques. > it’s also more efficient [than o1 or o3] with its thinking. And there’s a lot of room to push the test-time compute and efficiency further. > As fast as recent AI progress has been, I fully expect the trend to continue. Importantly, I think we’re close to AI substantially contributing…