EA - Question and Answer-based EA Communities by Joey

The Nonlinear Library: EA Forum - Ein Podcast von The Nonlinear Fund

Kategorien:

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Question and Answer-based EA Communities, published by Joey on June 18, 2023 on The Effective Altruism Forum.The EA community has expanded to encompass a broad spectrum of interests, making its identity and definition a hotly debated topic. In my view, the community's current diversity could easily support multiple distinct communities, and if we were building a movement from scratch, it would likely look different from the current EA movement.Defining sub-communities within the EA movement can be approached in numerous ways. One proposed division that I believe captures much of what people appreciate about the EA community, is as follows:Question-based communitiesAn Effective Giving CommunityAn Impactful Career CommunityAnswer-based communitiesAn AI X-Risk CommunityAn Effective Animal Advocacy CommunityQuestion-based communitiesAn Effective Giving CommunityThe concept of effective giving is where EA originated and remains a significant component of the community. Notable organizations such as GWWC, Effektiv Spenden, One for the World, Founders Pledge, and others, share a common mission and practical outcomes. The primary metric for this community is directing funds towards highly impactful areas. GiveWell, for instance, is perhaps the first and most recognized organization within this effective giving community outside the EA movement. This community benefits from its diversity and plurality, as many people could, for example, take the 10% pledge, and an even larger number could enhance their giving effectiveness using EA principles. Key concepts for this community could include determining the best charities to donate to, identifying the most effective charity evaluators, and deciding how much one should donate. This, in many ways, echoes the fundamentals of the EA 1.0 community.An Impactful Career CommunityIn addition to funding, individuals can contribute to the world through their careers. Much like the effective giving community, there's the question of how to maximize the impact of one's career across multiple cause areas. Organizations such as Probably Good, High Impact Professionals, or Charity Entrepreneurship focus on this area (I intentionally exclude career-focused organizations with a narrow cause area focus, like 80,000 Hours or Animal Advocacy Careers). The objective of this community would be related to career changes and enhancing understanding of the most impactful career paths. Although this is a broadly inclusive community benefiting from cause plurality, it's likely less extensive than the effective giving community, as a smaller percentage of the population will prioritize impact when considering a career switch.Relevant topics for this community could include identifying high absorbency, impactful careers, assessing the most impactful paths for individuals with specific value or skill sets, and determining underrated careers.Answer-based communities, e.g., AI X-Risk CommunityThe second community category that is a bit different from these others is anwer-based communities. I think there are two somewhat distinctive answer-based communities in EA: AI and animals. I think AI X-risk is a better example as it's more often mixed with the other above two communities and has significantly grown as a unique area within EA. This community consists of meta-organizations like Longview, Effective Giving and 80,000 Hours as well as the organizations working directly on the problem. It has begun to hold separate forums, conferences, and events. Its shared goal is to mitigate existential risks from AI, a specific objective that doesn't necessarily require members to embrace effective giving or prioritize impact in their careers. However, it does require specific values and epistemic assumptions, leading to this cause being prioritized over ot...

Visit the podcast's native language site