I want to note that if we assume it’s merely a superintelligent predictor, trained on all available data in the world, but only able to complete patterns super-well, it’s still extremely useful for predicting stock prices. This is in itself an incredibly profitable ability, and can also be leveraged to “output text that maximizes stock price” without too much difficulty:
Have the system output some text periodically.
Interleave the company stock prices between text blocks.
Generate a large number of samples for each new prediction, and keep the text blobs for which further completions predict high stock prices down the line. (This can be done automatically—no human review, just look at the predicted price.)
Not saying this is a great technique in real life, just saying that if we assume “really great predictor” and go from there, this will eventually start working well, as the system notices the influence of its text blobs on the subsequent stock prices.
I want to note that if we assume it’s merely a superintelligent predictor, trained on all available data in the world, but only able to complete patterns super-well, it’s still extremely useful for predicting stock prices. This is in itself an incredibly profitable ability, and can also be leveraged to “output text that maximizes stock price” without too much difficulty:
Have the system output some text periodically.
Interleave the company stock prices between text blocks.
Generate a large number of samples for each new prediction, and keep the text blobs for which further completions predict high stock prices down the line. (This can be done automatically—no human review, just look at the predicted price.)
Not saying this is a great technique in real life, just saying that if we assume “really great predictor” and go from there, this will eventually start working well, as the system notices the influence of its text blobs on the subsequent stock prices.