>I found a few months ago that the gpt-4 code interpreter is capable of converting a black and white png of a glyph to an svg
:) Easy there, let's not make all the naysayers who say it only just predicts plausible words sweat.
Your phrasing almost makes it sound like you're sharing a clear example of it analyzing and completing a complex task correctly, while perfectly understanding what it's doing.
Perhaps we should say it only just predicted words that are plausible responses to someone asking to do that, while also predicting plausible words someone might say in response to an error message along the way. It might not actually be doing any converting, just predicting words and tokens without really doing anything.
My favorite part of its predictive capabilities is how it is able to predict the other half of a conversation that literally goes "didn't work, try again", "didn't work, try again", "still didn't work, try again", "all right you finally fixed it good job" - without even telling it why it didn't work or quoting the error message. Somehow it is still able to predict the other half of the conversation so that it ends up with "finally, good job!"
Who knew that to get results that look like it knows what it's doing, it's enough to predict what could make someone say that!
We are truly living in the golden age of statistical prediction that does not involve any degree of thinking, analysis, or understanding.
Truly our age of applied statistics is going better than anyone could have, er, "predicted". :)