Sterling Proffer

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

Product teams by nature are power users of their own product. The parts of the product that the product team uses, tend to automatically get improved as the pain is right in front of them. But this leads to building for yourself (or your friends). While that can feed the ego, if you are only building for yourself or power users, you won’t grow. You... See more

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.

11. Sell a sync license: NFTs offer a potential opportunity for simplifying the sync licensing process. By embedding a complex set of rights and licenses into a fairly liquid digital token, copyright owners can simplify how they issue licenses and how everyone gets paid.

1. Sell music or visual art as a collectible NFT: This is the most common model for music NFTs today. Artists will sell music or media (photo/video) related to their music as an NFT. Platforms like Catalog, Sound, Nina or MintSongs focus on music itself. But you can also offer derivative assets like music videos, demo recordings, alternative... See more

The good news is, you have the freedom to pursue the new opportunities. The bad news is, so does everyone else. The good news is you can do it yourself. The bad news is you have to. Again, it looks easy only in retrospect. It always looks doable, from the perspective of people who have already done it.

The cycle is dizzying and numbing: The allure of authenticity invites fascination and then, inevitably, skepticism. All along, truth and trust aren’t celebrated; they’re destabilized.