this statement i actually fully agree with. what's missing: - what is accurate data? - is the replacement with the fantasy world a bad thing? (to note, training on "fantasy world" data is very common in ML, think data augmentation, back-translation, for example)https://twitter.com/pmddomingos/status/1341882022407487489 …
They're not just proposing it, they're doing it. If you don't see it, that's a big part of the problem.
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I believe the FLOSS movement addresses this issue accurately (by allowing users to use the software for any purpose, without restriction). A similar idea should apply to science as a whole
Kiitos. Käytämme tätä aikajanasi parantamiseen. KumoaKumoa
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