[est]

> the architect → developer → reviewer pipeline actually produces better results than just... talking to one strong model in one session?

There's a 63 pages paper with mathematical proof if you really into this.

https://arxiv.org/html/2601.03220v1

My takeaway: AI learns from real-world texts, and real-world corpus are used to have a role split of architect/developer/reviewer

[codeflo]

>> the architect → developer → reviewer pipeline actually produces better results than just... talking to one strong model in one session?

> There's a 63 page paper with mathematical proof if you really into this.

> https://arxiv.org/html/2601.03220v1

I'm confused. The linked paper is not primarily a mathematics paper, and to the extent that it is, proves nothing remotely like the question that was asked.

[est]

> proves nothing remotely like the question that was asked

I am not an expert, but by my understanding, the paper prooves that a computationally bounded "observer" may fail to extract all the structure present in the model in one computation. aka you can't always one-shot perfect code.

However, arrange many pipelines of roles "observers" may gradually get you there

[cbg0]

Perhaps this paper might be more relevant with regards to multi-agent pipelines https://arxiv.org/html/2404.04834v4

[anhner]

Can you explain how this paper is relevant to the comment you replied to?