✳flâneur — a map of the web's best reading
AI for medicine is overhyped right now - by Dan Elton
moreisdifferent.substack.com · 2,530 words · saved by 2 readers
Should we update our timelines to AGI as a result?
AI for medicine is overhyped Dan Elton Mar 29, 2022 23 17 1 Share AI for medicine has a lot of promise, but it's also really overhyped right now. This post explains why and asks if we should update our timelines to existentially dangerous AI as a result (tldr: personally I do not update much). Back in 2016 deep learning pioneer Geoffrey Hinton famously said "people should stop training radiologists now - it's just completely obvious within 5 years deep learning is going to do better than radiologists. It might be 10 years, but we've got plenty of radiologists already." Hinton went on to make s
Explore this link on the map →saved by
related reading
- The algorithm will see you now - Works in Progress Magazineworksinprogress.co
- AI isn't replacing radiologistsworksinprogress.news
- Will Artificial Intelligence Replace Radiologists? - PMCncbi.nlm.nih.gov
- Dario Amodei — Machines of Loving Gracedarioamodei.com
- Medical AI Safety: Doing it wrong. – Lauren Oakden-Raynerlaurenoakdenrayner.com
- The Limits of Computer Vision, and of Our Own | Harvard Medicine Magazinemagazine.hms.harvard.edu
- Dario Amodei — Machines of Loving Gracedarioamodei.com
- A.I. Versus M.D. | The New Yorkernewyorker.com
- Medical AI isn't the bottleneck to medical progress | Mechanize, Inc.mechanize.work
- AI as Normal Technology | Knight First Amendment Instituteknightcolumbia.org
- How IBM Watson Overpromised and Underdelivered on AI Health Care - IEEE Spectrumspectrum.ieee.org
- Dario Amodei — Machines of Loving Gracedarioamodei.com