Sterling Proffer

To understand why foundation models represent a “phase change in ai”, in the words of Fei-Fei Li, the co-director of Stanford University’s Institute for Human-Centred ai, it helps to get a sense of how they differ from what went before.

The Adjacent Users are aware of a product and possibly tried using the it, but are not able to successfully become an engaged user. This is typically because the current product positioning or experience has too many barriers to adoption for them.

Upon reaching an equilibrium between free and paid content, creators and communities face another dilemma. Their revenue correlates directly with how much content they can produce. But reapplying that method forever would mean constantly increasing content output until every waking hour was devoted to production. Beyond sounding exhausting, studies... See more