Ian Vanagas

Twitter’s only conclusion can be abandonment: an overdue MySpace-ification. I am totally confident about this prediction, but that’s an easy confidence, because in the long run, we’re all MySpace-ified. The only question, then, is how many more possibilities will go unexplored? How much more time will be wasted?

One thing that sets these intensely creative individuals apart, as far as I can tell, is that when sitting with their thoughts they are uncommonly willing to linger in confusion.To be curious about that which confuses.

The perceived mediocrity of her content, and its subsequent success despite that, was dubbed the "Victoria Paris Effect" by the Embedded Substack. She's had advantages others don't: her college education, pandemic timing, and the fact that "so  many  massive creators are thin and white," she says. "That is never something that's not always working... See more

Choice architecture (described as “Libertarian Paternalism” by its advocates) seems to merely dress up authoritarian high-modernism with a thin coat of caution and empirical experimentation. The basic and dangerous “I am more scientific/rational than thou” paternalism is still the central dogma.

DOOM was extremely humane software. It let you play with your friends, even in the shareware version. And along with the game itself, id released tools which allowed anyone to easily modify the game’s levels and assets, and then share them for others to use. This created a thriving ecosystem that exists to this day.

ML models are formed from combining biases and data. Sometimes the biases are strong, other times they are weak. To make a model generalize better, you need to add more biases or add more unbiased data. There is no free lunch.

The group chat doesn’t have the same feeling of presence or provide an environment to interact with that in-person hangouts do.