Every new model is only marginally better than the last, since last year, and I'm sure they are throwing all the compute at every new model, which means it's hit diminishing returns.

Even after all of the resources it takes, it still needs human guidance. At the very least the conclusion is that it's not doing what humans are doing. They might know all the programming languages and all kinds of domains but then it needs to be told basic things to not fail at simple prompts.

Part of the problem is that this is very hard to talk about and describe. It requires a long conversation, probably better in real-time, to explain exactly how AIs are not really living up to the hype, and are actually introducing long-term risk by using them.