But I fundamentally don’t trust it in a way that is different than any real source. It just isn’t a good tool for accurate information and never will be. Even if it’s using accurate sources, the summaries can easily mislead by virtue of not understanding which details are most important. It can’t reliably figure out what is relevant though language analysis alone.
Yeah you’re right about the accuracy issue. Even if an LLM is 90% accurate, after 1 million requests, you still get 100 thousand erroneous replies. This is significant. Which is why caution is important. I suppose there is a middle way between risks of errors and the outcome one would like to achieve.
But I fundamentally don’t trust it in a way that is different than any real source. It just isn’t a good tool for accurate information and never will be. Even if it’s using accurate sources, the summaries can easily mislead by virtue of not understanding which details are most important. It can’t reliably figure out what is relevant though language analysis alone.
Yeah you’re right about the accuracy issue. Even if an LLM is 90% accurate, after 1 million requests, you still get 100 thousand erroneous replies. This is significant. Which is why caution is important. I suppose there is a middle way between risks of errors and the outcome one would like to achieve.