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Humans are also perfectly capable of confidently doing mistakes.

The big difference here is that these models can scale the work beyond human capability.

Why pay 10000 mechanical turks to extract information from vids, if you can deploy N of these models, and get the work done at a fraction of the time?

Instead you can keep x% of the MTurks to check the vids where the model yields some high uncertainty score, and randomly audit other vids for quality assurance.

There's crazy amounts of potential in these things. Hell, the place I work at has already replaced certain human tasks with LLM-integrated solutions, with extremely good results.



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