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For me, so much about building a traditional classifier goes into measuring and improving its performance on the data you’re making decisions about.

With Jev, we seem to have just ignored all that. There seems to be some magical thinking that, because it’s AI, its decisions must be accurate.

Which I don’t think is really justified given the narrowness of the benchmarks and breadth of tasks people want to use it for.