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#yesnoerror — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #yesnoerror, aggregated by home.social.

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  1. “So far, Schlicht’s #YesNoError team has quantified the false positives in only around 100 mathematical errors that the AI found in an initial batch of 10,000 papers. Of the 90% of authors who responded to Schlicht, all but one agreed that the error detected was valid, he says. Eventually, YesNoError is planning to work with #ResearchHub, a platform which pays PhD scientists in cryptocurrency to carry out peer review.”

    nature.com/articles/d41586-025

  2. “So far, Schlicht’s #YesNoError team has quantified the false positives in only around 100 mathematical errors that the AI found in an initial batch of 10,000 papers. Of the 90% of authors who responded to Schlicht, all but one agreed that the error detected was valid, he says. Eventually, YesNoError is planning to work with #ResearchHub, a platform which pays PhD scientists in cryptocurrency to carry out peer review.”

    nature.com/articles/d41586-025

  3. “So far, Schlicht’s #YesNoError team has quantified the false positives in only around 100 mathematical errors that the AI found in an initial batch of 10,000 papers. Of the 90% of authors who responded to Schlicht, all but one agreed that the error detected was valid, he says. Eventually, YesNoError is planning to work with #ResearchHub, a platform which pays PhD scientists in cryptocurrency to carry out peer review.”

    nature.com/articles/d41586-025

  4. “So far, Schlicht’s #YesNoError team has quantified the false positives in only around 100 mathematical errors that the AI found in an initial batch of 10,000 papers. Of the 90% of authors who responded to Schlicht, all but one agreed that the error detected was valid, he says. Eventually, YesNoError is planning to work with #ResearchHub, a platform which pays PhD scientists in cryptocurrency to carry out peer review.”

    nature.com/articles/d41586-025

  5. “So far, Schlicht’s #YesNoError team has quantified the false positives in only around 100 mathematical errors that the AI found in an initial batch of 10,000 papers. Of the 90% of authors who responded to Schlicht, all but one agreed that the error detected was valid, he says. Eventually, YesNoError is planning to work with #ResearchHub, a platform which pays PhD scientists in cryptocurrency to carry out peer review.”

    nature.com/articles/d41586-025