scott b. weingart
@scottbot.net did:plc:c5pgebskvz35wxtkopm7osm5
past: circus performer; historian of science; librarian; grantmaker; chief data & evaluation officer at NEH. present: dad; resident scholar at dartmouth; chief technology officer at the library of virginia. personal account. https://scottbot.github.io
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scott b. weingart (@scottbot.net) ist seit 24 Mai 2023 auf Bluesky. Das Konto hat 4.184 Follower, folgt 1.642 Konten und hat 59 Posts veröffentlicht.
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I'm very worried about the quality of notes and the quality of clinical reasoning in the next generation of trainees. I believe AI-assisted notes are poisoning the training data and any progress currently being made is a dead end.
Post anzeigenresearch properly--never learning to do their own lit review or to critically read the literature, in particular. The models out there produce biased results when you ask for a list of sources. And frankly, I never consented for my work to train models to make Sam Altman money.
Post anzeigenWe're in very different fields, it looks like (though there is a Scott Weingart in my field!). I think this probably differs by field. In my field, most people are juggling research and clinical practice, so they have a lot of time pressure. I am very worried about residents never learning how to do
Post anzeigenThat's the stance I've arrived at from experience with people who have asked me to coauthor who use a lot of AI. I am in a field (acad med) where people are under a lot of pressure to publish a lot. I'm tired of catching people in lies about the extent of their use or their checking of LLM output.
Post anzeigenSomeone else noted that when they upload mss to Lightning Source they’re required to check if AI has been used in the creation of a manuscript and they have no idea what happens if you do check that box. The answer is always “no,” but also…is it? Really? Every time? Errrr…
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