Charlie Gedeon

The direction language models indeed prompt you to follow (pun intended) often leads you somewhere boring — to the land of averages

When you try to make something that solves everything, you obsess over questions of power: how to make something that is omnipotent and everlasting. But when you make something that does one thing well, the questions are much more personal: does it solve my problem? and for how long? and who for? and where will it push the space around it? I want... See more

Psychology was focused on measurable, outward behavior then. I thought to myself: That’s not what I want to understand about my thoughts. What I want to know is: Why do they come, where do they come from, and why do they persist even if they interfere with attention to the here and now?

Yet death still forces its way into our personal space. Its sudden and unwelcome appearance makes it only more spectral. As our urban lives increasingly involve interactions with strangers, with people or beings whose comings and goings are complete mysteries, more and more ghosts haunt our cities. As urban neighbourhoods are razed and rebuilt... See more

Cantillon argued that the origin of entrepreneurship lies in the lack of perfect foresight individuals have about the future. Rather than consider this lack of foresight a defect of the market system, Cantillon accepted it as part of the human condition. Uncertainty is a pervasive fact of everyday life, and those who must deal with it continually... See more

There is a lot of evidence suggesting that students learn best and more quickly through asset-based approaches. Meyer’s expertise is in math, but the same is true in writing and I am a dedicated practitioner of working from a base of what students already know and can do, the most notable skill being thinking . Everyone can think, but a huge... See more

If you go too far off the beaten path of algorithmic consistency, you risk never being heard. You may never get enough cultural momentum to exist in any meaningful way. That is a real problem. But if you're too good at algorithmic optimization, you risk building a large audience without saying anything particularly original or important. Not to... See more