[digitailor]

I kind of do think some people do get hired to continue to be like undergrads, and ChatGPT is turning into a pretty good undergrad. I really don’t know what the progression is going to be, but it seems like a widening in the middle of Moravec’s Pdx or something. Algorithmic management is next on the block and tools like GPT will be (and are) involved: [edit:algo stuff] took over a lot of content-making decisions in media concerns years ago, for example.

The results of that aren’t nearly as straightforward as was being portrayed (and so much capital injection was involved too) but what if models trained on known employee behavior really can understand the incentives that would work for individual employees at a finer grain than your typical middle manager? With all the data gleaned from the employee’s work computer etc? And blaming the algo has already become a national pastime!!

It could get weird once trained models start to emulate the behavioral and suggestion parts of communication, and soon. But we tend to want to minimize the behavioral aspect in favor of the raw computation aspect, despite the fact that generative models are creating content based on the behavior they learned from a training process, which is a behavioral training process, distinct from an imperative instruction writing process.

I think a lot of it comes down to that on this whole TFA commentary. People haven’t totally adjusted to the fact that there is a material difference between trained generative models that produce and written imperative sequences that compute. What the difference is and implications isn’t exactly clear, but certainty is not really on the table anytime soon