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Beiträge, die mit summaries getaggt sind
Update. I'm pulling a few other comments into this thread, in preparation for extending it later.
1. I have mixed feelings on #attribution in peer review. I see the benefits, but I also see the benefits of #anonymity.
https://twitter.com/petersuber/status/1412455826397204487
2. For #AI today, good #reviews are a harder problem than good #summaries.
https://fediscience.org/@petersuber/109954904433171308
3. Truth detection is a deep, hard problem. Automating it is even harder.
https://fediscience.org/@petersuber/109921214854932516
#PeerReview #OpenPeerReview
1. I have mixed feelings on #attribution in peer review. I see the benefits, but I also see the benefits of #anonymity.
https://twitter.com/petersuber/status/1412455826397204487
2. For #AI today, good #reviews are a harder problem than good #summaries.
https://fediscience.org/@petersuber/109954904433171308
3. Truth detection is a deep, hard problem. Automating it is even harder.
https://fediscience.org/@petersuber/109921214854932516
#PeerReview #OpenPeerReview
petersuber (@petersuber@fediscience.org)
Update. I said above (4th item in thread) that "for a bot maker, it will be more profitable to solve the marketing problem (bring in users) than the truth-telling problem." I stand by that but want to clarify. The reason is not greed.FediScience.org
