Sterling Proffer

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

Despite the recent downturn, the music industry’s interest in web3 is still as strong as ever. Artists, managers and labels are all coming around to the idea that web3 represents a massive opportunity to re-architect how musicians earn a living and connect with their fans. As an artist or manager, you might be wondering what your web3 strategy is... See more

People are looking for more meaningful narratives and communities than brands can offer, and companies want to supply this “meaning demand”—but are structurally disincentivized to do so.

More hours of work don’t mean an increase in productivity — quite the opposite, actually.

8.  Build with your squad

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