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
The rule is simple: Do not be a commodity. Do not be easily comparable to other people who have, roughly, the same set of skills and the same background. The rule may be simple, but its history and implications are incredibly rich.
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
2. Fractionalize ownership with royalty-bearing NFTs: “Fractional ownership” is one of the more widely discussed use cases around NFTs. Here, a fraction of a song is sold as an NFT, with the owner then being entitled to the equivalent portion of royalties generated from the commercial exploitation of the song.
If you were to study some of the most admired creative thinkers, writers, and artists to have ever lived, you would find that all shared a passion for their work, an intense desire to succeed, and an almost superhuman capacity to focus. Yet, when you look closely at their daily lives, they only spent a few hours a day doing what we would recognize... See more
The second technique is to watch the adjacent user using your product through usability tests. Ideally this is done with trained researchers when possible. Watch the adjacent user try to sign up, activate, see what they struggle on, have them talk about why they are having challenges and what their expectations of the experience are.