That's fascinating to me, since the moment you sign up to use it, it blatantly states that it is often incorrect. And below every chat box there is a warning th

That's fascinating to me, since the moment you sign up to use it, it blatantly states that it is often incorrect. And below every chat box there is a warning that says: ```ChatGPT can make mistakes. Consider checking important information.``` So I guess I am overestimating the average user by assuming that people read the text written on every single page they use to query the system. Even so, this entire comments section reads like a giant saltmine of people that are terrified of embracing tech that in every sense of the word increases turnaround time on productivity. The ability to literally feed a screenshot into it and ask questions regarding it, with insane results is astounding. I have input a picture of baby rabbits and asked it to rate my chickens, and got a detailed explanation of how the picture contains baby rabbits and not chickens. There are things the system is great at, and others it sucks at currently. But you are all mistaken if you think its going to stay this bad. If you haven't even bothered to check how quickly the field has moved from single-modal to multi-modal, well, damn guys, I am sorry, but you are getting automated first. The biggest problem with current models is that they don't know how to verify their own answers, and there's no way to allow them to without putting a ministry of truth on it (similar to what twitter was during covid). To combat this, we need to figure out how to let the model generalize truth, which is something it can only do if fed enough (unfiltered, unbiased) data. With enough data, it will find the patterns underlying false information and eventually figure out how to use it. In fact, most likely, the future models will simply be fed unlabeled data, in any format (audio, video, telemetry, analytics) and generalize from that. The concept of feeding normalized data to a model for training is archaic and stupid. The world is not normalized. Data is not always the same, and will not always even be guaranteed to be present. Anyways, what does it matter. Why am I trying to sell sugar to people addicted to salt?