Sterling Proffer

Practice too little, and you never become world-class. Practice too much, and you increase the odds of being struck down by injury, draining yourself mentally, or burning out.

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.

Some users have already burned out, which raises the question of how many people with a coveted pro deal will find Substack’s grind unsustainable once they exhaust their advances. At the same time, many other writers simply won’t be able to make a living on Substack no matter how hard they try. But nevertheless, Substack’s growing cast of... See more

There is such urgency in the multitude of crises we face, it can make it hard to remember that in fact it is urgency thinking (urgent constant unsustainable growth) that got us to this point, and that our potential success lies in doing deep, slow, intentional work.

Adjacent User Theory demands an entirely different approach to being ‘user centric’. Static personas are OUT. Dynamic evolving personas that incorporate product adoption behavior are the standard to strive for. Every 3-6 months during hyper growth, you have to reorient your team around the next adjacent user, what they care about, and what problems... See more