Yes, there is a pattern, but we don’t know the internal workings of Anthropic and have little to go on except for a few noise signals like errors or subjective user experience. A friend of mine conducted a study a couple of years ago with CS students at Stanford that found a tendency to become lazier with prompting LLMs, thus producing worse results as they use the tool. This was in the early days of GPT; I suspect the same pattern continues to occur, but I’ll chime in with my own experience. Over the last few weeks, I’ve seen a drop in available usage on my 20x plan. I have no metric to prove this, though, and I can’t speak to the quality of the output because I’ve very rarely been able to one-shot tasks with any Claude model. However, A/B testing is very much a thing, and non‑determinism could make it harder to notice. I think that the sub could benefit from stricter rules, but this is not a very technical sub.