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Roy Amara called it.
that translated well into business since people were familiar with how to use windows
the efficiency problems microsoft faces as an organization are disjointed from people trying to stay in touch effectively.
ai solves a lot of problems people can imagine having when being pitched the equivalent of digital timeshare, which mathematically does well when projecting for growth, but the vast majority of people look to get out of their timeshares when it becomes a burden on their lives.
slop is a new term, but why do we all know what it means already?
It's also difficult for engineers to understand how a sustainable industry can be built on tech where the primary method of "engineering" it is to try doing something (training a new model, changing a prompt) and hope it will work rather than knowing what will and won't. The potential to get trapped in a local maximum or burn massive resources for insufficient return is too high, and the cost of switching models is too low to build any moat based on model quality.
At the end of the day this is the only thing tech investors are excited about, so the market will dictate strategy until the bottom falls out for whatever reason. The video is not assuring on this front, saying that CEOs are just staying the course without much indication they have a reason to believe a return is around the corner.