This resonates a lot. I’m keen to connect with others who are actively thinking about when it becomes justified to hand off specific parts of their work to AI.
Reading this, it seems like the key discovery wasn’t “Claude is good at critique in general,” but that a particular epistemic function — identifying important conceptual mistakes in a text — crossed a reliability threshold. The significance, as I read it, is that you can now trust Claude roughly like a reasonable colleague for spotting such mistakes, both in your own drafts and in texts you rely on at work or in life.
I’m interested in concrete ways people are structuring this kind of exploration in practice: choosing which tasks to stress-test for delegation, running those tests cheaply and repeatably, and deciding when a workflow change is actually warranted rather than premature.
My aim is simple: produce higher-quality output more quickly without giving up epistemic control. If others are running similar experiments, have heuristics for this, or want to collaborate on lightweight evaluation approaches, I’d be keen to compare notes.
The significance, as I read it, is that you can now trust Claude roughly like a reasonable colleague for spotting such mistakes, both in your own drafts and in texts you rely on at work or in life.
I wouldn’t go quite this far, at least from my comment. There’s a saying in startups, “never outsource your core competency”, and unfortunately reading blog posts and spotting conceptual errors of a certain form is a core competency of mine. Nonetheless I’d encourage other Forum users less good at spotting errors (which is most people) to try to do something like this and post posts that seem a little fishy to Claude and see if it’s helpful.[1]
For me, Claude is more helpful for identifying factual errors, and for challenging my own blog posts at different levels (eg spelling, readability, conceptual clarity, logical flow, etc). I wouldn’t bet on it spotting conceptual/logical errors in my posts I missed, but again, I have a very high opinion of myself here.
This resonates a lot. I’m keen to connect with others who are actively thinking about when it becomes justified to hand off specific parts of their work to AI.
Reading this, it seems like the key discovery wasn’t “Claude is good at critique in general,” but that a particular epistemic function — identifying important conceptual mistakes in a text — crossed a reliability threshold. The significance, as I read it, is that you can now trust Claude roughly like a reasonable colleague for spotting such mistakes, both in your own drafts and in texts you rely on at work or in life.
I’m interested in concrete ways people are structuring this kind of exploration in practice: choosing which tasks to stress-test for delegation, running those tests cheaply and repeatably, and deciding when a workflow change is actually warranted rather than premature.
My aim is simple: produce higher-quality output more quickly without giving up epistemic control. If others are running similar experiments, have heuristics for this, or want to collaborate on lightweight evaluation approaches, I’d be keen to compare notes.
I wouldn’t go quite this far, at least from my comment. There’s a saying in startups, “never outsource your core competency”, and unfortunately reading blog posts and spotting conceptual errors of a certain form is a core competency of mine. Nonetheless I’d encourage other Forum users less good at spotting errors (which is most people) to try to do something like this and post posts that seem a little fishy to Claude and see if it’s helpful.[1]
For me, Claude is more helpful for identifying factual errors, and for challenging my own blog posts at different levels (eg spelling, readability, conceptual clarity, logical flow, etc). I wouldn’t bet on it spotting conceptual/logical errors in my posts I missed, but again, I have a very high opinion of myself here.
(To be clear I’m not sure the false positives/false negatives ratio is good enough for other people).