[jacobr1]

As someone who has this instinct myself, there is a line of reactionism to modern AI/ML that says, "this is just a toy, look it can't do something simple." But often the case, if _can_ do that thing with a either a more advanced model, or a more built-out system. So the instinct is to try and explain that the pessimism is wrong. That we really can push the boundary and do more, even if it isn't going to work out of the box yet. I react that way against all forms of poppy snipping.

[Jensson]

Hyping up tech based on what you think it will be able to do in the future is the misplaced overhyping that is the problem. The issues people say are easy to fix aren't easy to fix.

Expect the model to continue to perform like it does today, and then lots of dumb integrations added to it, and you will get a very accurate prediction of how most of new tech hype turns out. Dumb integrations can't add intelligence, but it can add a lot of value, so the rational hype still sees this as a very valuable and exciting thing, but it isn't a complete revolution in its current form.