AI is not perfect sure, one has to know how to use it. But this study is already flawed since models improved a lot since the beginning of 2026.
AI is not perfect sure, one has to know how to use it. But this study is already flawed since models improved a lot since the beginning of 2026.
This is not a useful, constructive or meaningful statement.
Attempting to claim the models are the future by perpetually arguing their limitations are because people are using the models wrong or that the argument has been invalidated because the new model fixes it might as well be part of the training data since Claude Opus 3.5.
No no, I didn't say that at all. I'm just saying that the studies are irrelevant since models got a boost in their competence. I'm not in a fight pro or against llm's, I know how they work and their limitations. But the complexity of the problems they solve increased since opus 4.5 . If you can't admit that, it's your problem.
Also, I'm not blaming users for their shortcomings. I'm just saying they are not perfect but you can get different outcomes according to how you use them.
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