Comment by bigyabai
18 hours ago
Again - you are right, but it still doesn't refute the grandparent's claim that today's AI is lazy, wasteful and marketing-driven. There is room to improve, and if US labs don't take the initiative then Chinese ones will.
It is lazy and wasteful if you ignore the costs of specialized skills in doing it the "right way." If you stop looking at things in a narrow technical frame, and look at it as an organization, it's not wasteful. And lazy is a useless pejorative used against products that let people do things easily. Lazy is good. When you learn how to make products that allow people to be more lazy, you will become successful.
What results though. The people seeing measurable improvements to their core work with LLMs are coders.
Everyone else is taking over intern level work from someone else’s team. They are reducing the friction costs of talking to someone else, for about a 30% productivity gain.
Firms are trying desperately to automate their white collar workers, and that is following the same trend as all other automation projects, and ML/deep learning efforts in history.