>While it’s possible that this is just a much more AI-friendly problem, I don’t think it’s just that: I think the technology has genuinely gotten better.
It has gotten better imo. The blog author mentions 2 cases at the beginning -- users who think that AI will be capped and those who think it will be uncapped. From my perspective, both are technically right -- AI is capped or technically has usually reached some sort of cap, until human innovation improves it. AI doesn't really improve itself on a grand scale so much as humans improve it.
In other words, AI can and does iteratively improve, but every single ceiling we've spotted and broken through so far came from human ingenuity or effort. It will likely continue to require it, regardless of how much it can do on it's own. In that regard, it seems as though all of this will inevitably be "uncapped, until it reaches a cap, and then likely it will eventually be uncapped by humans (again)". Because of this, AI will never perfectly fit neatly into an 'uncapped' or 'capped' bucket, as long as time continues moving and we continue solving issues as they crop up.
I'm sure there's a simple answer to this, and I'm probably just missing it, but what happened with the supergravity one?
And how many runs did it take before this one? They say "in one shot" with nothing more than "keep going." But we only see the successful run, reported by the people who ran it.
Just recently I used Fable 5.1 and Astra to solve and prove a long-standing mathematical problem I was always interested in: the shoreline search problem (a ship in a total fog is at unknown distance from a shore [infinite line], what is the optimal trajectory?) A particular kind of logarithmic spiral was conjectured 33 years ago; a few days ago, I have obtained the proof. How routine it has become.
Cool article.
>While it’s possible that this is just a much more AI-friendly problem, I don’t think it’s just that: I think the technology has genuinely gotten better.
It has gotten better imo. The blog author mentions 2 cases at the beginning -- users who think that AI will be capped and those who think it will be uncapped. From my perspective, both are technically right -- AI is capped or technically has usually reached some sort of cap, until human innovation improves it. AI doesn't really improve itself on a grand scale so much as humans improve it.
In other words, AI can and does iteratively improve, but every single ceiling we've spotted and broken through so far came from human ingenuity or effort. It will likely continue to require it, regardless of how much it can do on it's own. In that regard, it seems as though all of this will inevitably be "uncapped, until it reaches a cap, and then likely it will eventually be uncapped by humans (again)". Because of this, AI will never perfectly fit neatly into an 'uncapped' or 'capped' bucket, as long as time continues moving and we continue solving issues as they crop up.
I'm sure there's a simple answer to this, and I'm probably just missing it, but what happened with the supergravity one?
And how many runs did it take before this one? They say "in one shot" with nothing more than "keep going." But we only see the successful run, reported by the people who ran it.
Just recently I used Fable 5.1 and Astra to solve and prove a long-standing mathematical problem I was always interested in: the shoreline search problem (a ship in a total fog is at unknown distance from a shore [infinite line], what is the optimal trajectory?) A particular kind of logarithmic spiral was conjectured 33 years ago; a few days ago, I have obtained the proof. How routine it has become.
https://arxiv.org/abs/2609.24454
AI can now do really hard science homework all by itself without messing it up, which is kinda cool.