3 ms·
Why so negative? It's a waste only if the value provided is less than the cost. You can't decide that with only the cost. As humans we have our own adversarial
by visarga 4y ago
Why so negative? It's a waste only if the value provided is less than the cost. You can't decide that with only the cost.
As humans we have our own adversarial examples, we get tired, we get sloppy, we might be even more biased than a calibrated model and always much more expensive.
- rvz 4y ago> Why so negative? It's a waste only if the value provided is less than the cost. It is entirely true and it just takes an invalid input to trick them and it messes up easily and even worse when there are always biases involved. Thus the value is nullified. And once that model breaks and doesn't work, what is the solution? More retraining on new data? Even with that like I said there are ZERO efficient alternatives, which the cost outweighs the benefits. Therefore, it is not even worth it.