> A good rule of thumb is to assume that around 90% of the information you see in Elicit is accurate. While we do our best to increase accuracy without skyrocketing costs, it’s very important for you to check the work in Elicit closely. We try to make this easier for you by identifying all of the sources for information generated with language models.
A 90% accuracy rate seems like the sweet spot between "an annoying waste of time" for honest researchers and "good enough to publish" for dishonest careerists.
I don't like disparaging the technology experts who work on these things. But as a business matter, 1/10 answers being wrong just is not good enough for a whole lot of people.
A 90% accuracy rate seems like the sweet spot between "an annoying waste of time" for honest researchers and "good enough to publish" for dishonest careerists.
I don't like disparaging the technology experts who work on these things. But as a business matter, 1/10 answers being wrong just is not good enough for a whole lot of people.