Patterns

Sharing ideas that are better off bouncing around a few more brains. Think of it as our game of mental tennis that produces useful outcomes. If one strikes you as worthy of conversation, email your thoughts to [email protected]

What is Love, Computationally?

There in no better-tested algorithm than life. It grows to capture all available resources, adapts to challenges of all kinds over time, and fills any crevice of available sources of energy. When building algorithms for machine learning, we've seen the value of reinforcement learning, Generative Adversarial Networks competing against each-other, but we haven't yet dug into replicating the evolution of the most intelligent evolved creatures on the planet: Mammals. Specifically why do mammals require two individuals of different genders to match by finding and selecting a genetically different partner to replicate with that has completely different strengths, and how can that benefit an algorithm computationally?

Evolutionary algorithms are not new, but the consideration of two different roles that have to compete yet collaborate with each other in each new generation is rarely if ever factored in. Why is one role specialized in empathy, training of nonverbal offspring, selecting a partner, while the other focuses on dominating the most aggressive individuals in the surrounding environment (including a deep awareness of social ladders)? Does developing both an empathy for the weakest and a dominance over the most dominant simultaneously a key to the genetic equation for intelligence? In the book Sapiens, we see success of Homo Sapiens attributed to the enlarged brain. The enlargement is credited to the computational needs for empathy that is required to keep a social species united and working together as a network to dominate all other predators on the planet. The key to AGI will be the translation of that dynamic into computational analogies. To take machine learning outcomes to the next, most critical part in their evolution we need to give them inputs and feedback - an empathy for human needs, prioritized higher than the algorithm's own reward system. A competitive and collaborative dynamic between two different types of computational nodes may do the trick.

by Diana Zink August 2021

Art is radioactive love.

It warms you as you witness it, even generations in the future. So are well designed products, architecture, societal constructs, and stories - they are embedded with empathy which radiates out of the works.

Listening is an investment. Social tools are addictive, because they make you feel heard.

Sharing with others and being heard is a human need. Listening to someone when the information is not relevant to you is an investment in the relationship. Facebook and twitter have won not because they let you share (any blog can do that), but because they make the single-click feedback of likes easy and that makes it more likely for you to feel heard.

Your real boss is your source of funding

To keep a business alive, you need to make money. Your business model sets your direction going forward, as it determines both your growth curve and alignment towards your users and customers (hopefully those two are the same). To raise VC money, your have to be able to prove that you will become the only business in your industry (or top 2-3 if the industry is big enough) and fight that zero sum game to get there with that war chest (and thus IPO) or die trying.

by Diana Zink, Founder of DreamList