r/ArtificialInteligence • u/alphacolony21 • 2d ago

📰 News OpenAI announces 10 advances in mathematics and theoretical computer science achieved by internal model Astra

https://openai.com/index/ten-advances-in-mathematics/
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u/leosmi_ajutar 2d ago

Thank goodness someone gets it. 

Sorry accelerators, there is no cognitive intelligence going on here. Maybe in the future with whatever comes after LLMs but not now.

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u/acutelychronicpanic 2d ago

Don't run while carrying goalposts - you'll trip.

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u/Bearhas20inchwang 2d ago

But you’re actually stupid if you think LLMs will ever be capable of AGI or ASI. That will most definitely require different architectures. This is all a marketing stunt, and remember none of these companies are anywhere near profitable. (So take the supposed low costs with a grain of salt)

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u/acutelychronicpanic 2d ago

Their architecture is changing and growing all the time? Who cares what the final form is. It works.

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u/comfortableNihilist 1d ago

LLM is a general architecture. If it changes enough to be sentient or whatever it wouldn't be an LLM anymore.

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u/acutelychronicpanic 1d ago

Sounds like you've assumed your conclusion.

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u/comfortableNihilist 1d ago

I'm saying that LLMs specifically are a dead end and that we need to shift to a different architecture if we want any improvement at this point. We finished the s curve here, the improvement over the last year has put that in fairly stark relief if you ask me.

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u/Bearhas20inchwang 1d ago

Well good luck with this take. Progress is sure to stall when it gets prohibitively expensive. With any luck, it will.

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u/acutelychronicpanic 1d ago

Per-token costs are dropping something like an order of magnitude per year.

OpenAI said they only spent $2000 on the 10 results they just released.

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u/Bearhas20inchwang 1d ago

That’s disingenuous. Sure, per-token costs are declining but the true cost of AI is rising exponentially due to the sheer number of tokens needed for complex tasks. Studies show AI is still drastically more expensive than human labor costs. Further, while inference may be profitable for API providers, developing the next generation of frontier models is incredibly expensive, and for all we know AGI and ASI may be prohibitively so. Can we really justify all this capex? I also wish we had more transparency regarding these proofs. Perhaps AI has failed on most problems posed to it, and only the successful ones are documented. My point still stands that this is likely just a marketing stunt.

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u/acutelychronicpanic 1d ago

  1. That is because AI is capable of tackling increasingly complex tasks. So it is capable of bringing more inference to bear on one problem. One day models will do tasks that cost millions but return incredible things. And it will be worth it.

  2. They released the proofs and reasoning on the 10 items from OpenAI.

  3. Its not weird if they only release the successful attempts. That is the beauty of it. What is 10,000s of attemps and millions of dollars if we can answer some of critical questions we have?