Machine Learning Street Talk (MLST) cover image

Kenneth Stanley created a new social network based on serendipity and divergence

Machine Learning Street Talk (MLST)

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Expanding Interests through Self-Organizing Communities

Communities formed through cross-pollination constantly self-organize to cater to the interests of individuals, leading to the breaking down of traditional silos. By exposing individuals to new topics of interest and gradually expanding their horizons, the system forms a dynamic interest graph that evolves over time. This interest graph allows for the discovery of related interests and the exploration of new topics, fostering continuous growth and learning within the community.

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