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From the paper, seems like Reflexion is an outer loop that provokes GPT to re-evaluate itself, which says nothing about the self-reflective capabilities of the actual GPT model.

But overall, I find there's a bit of a boundary problem when considering current ML models. Is GPT considered self-reflective if we embed it in a system that mimics such an ability?

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The boundary problem you describe seems unimportant to me. Who cares what we classify GPT as when we have successfully built a system that clearly has that capability?

Feedback loops are critical to intelligent thought. We know this, and it should come as no surprise that we'll need to explicitly add them to AI systems.

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