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I haven't looked at the collected data, but there are lots of obvious things it enables (tracking failure modes, fine-tuning, evals). This is pretty standard practice for projects in this space, although less common for open-source projects. Why the tone? |
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Seriously, can you explain to me why you collect data from this project that uses AI services from a company that literally invests billions of dollars? How exactly you want to improve this system by collecting user input compared to the company you rely on?
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