Thank you so much! Andi's strong point is these type of factual answers, and I think you're 100% right to be optimist about models being within reach. The ques

Thank you so much! Andi's strong point is these type of factual answers, and I think you're 100% right to be optimist about models being within reach. The question answering feature has only just been released for the first time today for this post, and for an entire field of questions it already surprises us that not only does it work but it does *well*. We can iterate on the intent error correction and verbal tricks. And we're just a tiny team standing on the shoulders of giants. The entire field is moving quickly and making astonishing progress. The exciting thing in this area is the rate of improvement. The thing language models have lacked is factual accuracy, and that's definitely a hard challenge. We have problems to solve with applying common sense and reason to things like information safety/confidence, and fixing misunderstood intents is mostly just iterative training. But the exciting thing is that this already works in many cases. It's interesting to try it out with current news too. Something from today like "why does tesla want to split its stock?" You can see the progress in this space is real and getting faster. The verbal tricks are fun to laugh at, but the underlying progress is real.