Sublime

ChatGPT just isn’t a good fit in situations where there are structured computational things to do. Put another way, it’d take “fixing” an almost infinite number of “bugs” to patch up what even an almost-infinitesimal corner of Wolfram|Alpha can achieve in its structured way.

The basic concept of ChatGPT is at some level rather simple. Start from a huge sample of human-created text from the web, books, etc. Then train a neural net to generate text that’s “like this”. And in particular, make it able to start from a “prompt” and then continue with text that’s “like what it’s been trained with”.

ChatGPT, without any specialized stock market knowledge, tended to outperform these more specialized models, working as a “powerful predictor of future stock price volatility.” In fact, it was the ability of the AI to apply more generalized knowledge of the world that made it such a good analyst, since it could put the risks discussed in conference