Opus 4.8 plus OpenClaw. I feel like the space is moving so fast that the result with this setup says very little about how close we are actually now.

Link to the actual paper: https://arxiv.org/abs/2607.27191

Of course it might not, it has been the holy grail of AI research for a long time. It would be great if we could leave some self improving code running on a blank slate of a computer while we sleep and the machine was crying asking me what is everything the next morning. None of AI researchers have had that moment outside of their dreams, so far, but it would be great if it happened.

> The researchers asked Anthropic’s Claude Opus 4.8, running on open-source software called OpenClaw

Meanwhile, Navier–Stokes was solved by an internal model significantly more capable than Astra (and therefore more capable than Mythos/Fable).

I’m afraid this sort of experiment is cope. The labs clearly believe RSI is coming soon.

There’s also the difference between a model recursively improving “itself” and improving itself via online learning.

The former being that these models are helping develop and train future models, but they might not veer too far off in architecture (yet).

The latter is a model being able to train/learn on the fly, in real time, permanently (not just in the current conversation/session), or in other words, adjusting/managing its own weights. But, it also seems like it would take an entire paradigm shift in model architecture from what most LLMs are built on, but I could be wrong.

this article reads like a joke the "new study" is from group of people that are not at the frontier. they test with $3k of anthropic credits (compare to the >$10M in compute used to solve recent NS last week)