3 ms·
hysterics. Remember when he said we should stop training radiologists, that’s aged pretty poorly given there’s actually a need to have more: https://www.rsna.o
by cristiancavalli 3y ago
hysterics.
Remember when he said we should stop training radiologists, that’s aged pretty poorly given there’s actually a need to have more:
https://www.rsna.org/news/2022/may/global-radiologist-shortage https://www.rsna.org/news/2022/may/global-radiologist-shorta...
https://mindmatters.ai/2022/08/turns-out-computers-are-not-vacuuming-up-all-our-jobs/ https://mindmatters.ai/2022/08/turns-out-computers-are-not-v...
- mptest 3y agoSo because he made one(+) bad prediction, all future predictions are inherently poor? It seems that may be a tad of a leap? Where is the line between "poor prediction" and "hysterics"? "Deep learning will replace radiologists within 5 years" isn't as inherently crazy as it probably seems in hindsight. Sure, it didn't pan out, but I know a vet who works for an Ai company classifying scans for training and he says first hand the models have gotten a lot better. That said, he's still not worried about being replaced.
- cristiancavalli 3y agoWhen the prediction is so bombastic as to prescribe a near future without doubt and be completely wrong then yes, that would be hysterics in my book.