Here, this. Small, focused teams usually deliver more output per person (or even overall) than larger ones. Less management overhead, clear goals and responsibilities, tendency to employ people with cross-disciplinary experience, hiring for talent and not checklists, etc.
> [...] can somehow use LLMs more effectively [...]
LLMs are an incredibly effective tool for the few areas where they do fit the problem. But there's so much "AI" hype going on, everyone is trying to cram it into anything and everything, running around with a hammer trying to smash things just in case they turn out to be a nail. Even the old-time players (who should know better) can't resist the urge.
It's almost like oligopolies faced with changing markets tend to start collapsing under their own weight.
Here, this. Small, focused teams usually deliver more output per person (or even overall) than larger ones. Less management overhead, clear goals and responsibilities, tendency to employ people with cross-disciplinary experience, hiring for talent and not checklists, etc.
> [...] can somehow use LLMs more effectively [...]
LLMs are an incredibly effective tool for the few areas where they do fit the problem. But there's so much "AI" hype going on, everyone is trying to cram it into anything and everything, running around with a hammer trying to smash things just in case they turn out to be a nail. Even the old-time players (who should know better) can't resist the urge.
It's almost like oligopolies faced with changing markets tend to start collapsing under their own weight.