Enzo Blindow: evaluation

Transcript context

…Yes. And we do and we think that we can go really far with that. Yeah. What ultimately counts here is the quality of the data, right? We actually find that a lot of the people that work with us on our platform are very conscientious when it comes to solving for these tasks. In fact, we we have a whole interface where they they can interact directly with some of the researchers or some of the the program coordinators, and they're they're very proactive in the type of things that they do, and that obviously this all aids in also highlighting certain edge cases or they're contributing and refining the process, for example, or these kind of things. This is more like an active participation and interest in the outcome and success of whatever is being collected, which is really good and it all contributes to this ultimately increasing the quality of the data that is being used because this data in very, very, very often the case is being used in either the training of or evaluation of very, very central core systems that have huge downstream effect on everybody on this earth most likely. Right? Do you have an a notion of like a skill distribution of participants and some kind of a matching algorithm and some kind of a complexity score on the tasks. Don't know if you're allowed to talk about that, but that would be fascinating to know roughly how that works.…

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