2026-09-09 22:25 UTC
4/
in [B] @tao@mathstodon.xyz also notes how "there are no clear frontiers that are separating the "«[ #genAI]-feasible» problems from the «[ #genAI]-hard» problems (which certainly still exist, given that the difficulty level of problems are unbounded, and can even be undecidable). This is [...] also compounded by the refusal of [ #genAI] companies to disclose their #NegativeResults or reveal the process towards obtaining their solutions"
which brings to mind #CherryPicking and other biases in #science [1]
Replies (1)
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@dderigo@hostux.social 2026-09-09 22:40
5/ An issue of too vast a scope, @deevybee@mastodon.social notes [1]: "It’s not that [scientists] are unconcerned about doing #science well; it's just that many of them don’t recognise that there are serious problems with current practices" and asks "How can that be?" "Many researchers persist in doing research in a way virtually guaranteed not to deliver meaningful results" incurring insidious biases: "#PublicationBias, low statistical power, #pHacking and #HARKing (hypothesising after results are known)" [1]