ML models are formed from combining biases and data. Sometimes the biases are strong, other times they are weak. To make a model generalize better, you need to add more biases or add more unbiased data. There is no free lunch.
Our relation to ideas is an inextricable symbiosis, like that between plant and pollinator, a mutualism in which neither can survive without the other. At the dawn of civilization, a covenant was made between humans and these alien entities that live in our minds—honor and respect each other and all will flourish beyond their wildest dreams.
Communities should think hard about their onboarding process for new and returning users. They should understand what information is shared and needed to engage with the community, and what path those users are going on. They should think about how to summarize context to be more consumable for both new and returning users.
Information bankruptcy is a common problem for communities to have. When there is too much information to absorb, members often give up on absorbing any of it at all. It’s a play off of email bankruptcy, where someone ignores or deletes all emails beyond a certain date.