AI models can produce poems that rate well on certain ‘metrics’. But the event of reading poetry is not one in which we arrive at standardised outcomes.
Yes, because ‘these monkeys’ have been reading all of available content humans created, not really fair comparison to infinite scale of pure randomness.
I would argue against pattern machines getting better at recognizing patterns better, but I don’t think it would change any minds.
Yes, I agree it’s a bad comparison. That’s why I said as such in my response to your comment that brought it up.
Though the current models have only been around for a few years, pattern recognition programs have been around for a long time. The latest ones are just a better model …because they are getting better.
The monkeys are just random chance - if you don’t yet have Shakespeare, you’re no more likely to get it than when you started - but pattern recognition software is steadily improving. If it’s not at some benchmark you want it to be at, it’s at least closer than it was 10 years ago, and will continue getting closer over time.
Yes, because ‘these monkeys’ have been reading all of available content humans created, not really fair comparison to infinite scale of pure randomness.
I would argue against pattern machines getting better at recognizing patterns better, but I don’t think it would change any minds.
Yes, I agree it’s a bad comparison. That’s why I said as such in my response to your comment that brought it up.
Though the current models have only been around for a few years, pattern recognition programs have been around for a long time. The latest ones are just a better model …because they are getting better.
The monkeys are just random chance - if you don’t yet have Shakespeare, you’re no more likely to get it than when you started - but pattern recognition software is steadily improving. If it’s not at some benchmark you want it to be at, it’s at least closer than it was 10 years ago, and will continue getting closer over time.