We are socialized to see what is wrong, missing, off, to tear down the ideas of others and uplift our own. To a certain degree, our entire future may depend on learning to listen, listen without assumptions or defenses.
Emergent properties are linked to another highly promising feature: flexibility. Earlier generations of ai systems were good for only one purpose, often a pretty specific one. The new models can be reassigned from one type of problem to another with relative ease by means of fine tuning. It is a measure of the importance of this trait that, within... See more
All modern machine-learning models are based on “neural networks”—programming which mimics the ways in which brain cells interact with each other. Their parameters describe the weights of the connections between these virtual neurons, weights the models develop through trial and error as they are “trained” to respond to specific inputs with the... See more
Nobody deserves support, public or otherwise, for making something no one wants. Artists, in that respect, are not any different from people who open restaurants or shops, many of which also fail. Being an artist is not a job. In economic terms, it is a business.
The first TikTok stars were slow to realize how much negotiating power they actually possessed—they’re just youngsters, after all. So they got dazzled by the promise of a big upfront payment from a label. But in the last few months, many have started to figure out that the so-called ‘advance against future royalties’ is actually just a loan under a... See more
“A writer,” said Thomas Mann, “is someone for whom writing is more difficult than it is for other people.” More difficult, because there is more for you to do, more that you know how to do, and because you hold yourself to higher standards.
I suggested that Substack’s day of reckoning may still lie ahead. The bigger Substack gets, the more ideologically diverse its author pool becomes, the greater the chances for highly inflammatory, potentially harmful content.