3 ms·
The article already states why this is such an issue: The results could be correct or incorrect (the model has no idea either way), but are delivered in the sty
by shadowofneptune 4y ago
The article already states why this is such an issue: The results could be correct or incorrect (the model has no idea either way), but are delivered in the style of a well-researched answer. They can also be automated, so there's tons of these deceptive answers.
- blacksmith_tb 4y agoRight, it sounds like the scale is a particular problem, you'd expect the feedback mechanisms to gradually weed out nonsense answers, but if 90% of all answers were nonsense, humans couldn't keep up with.