Collider is a coworking and community space in New York City for AI safety and other high-impact professionals to work, collaborate, and convene.
Collider is a coworking and community space in New York City for AI safety and other high-impact professionals to work, collaborate, and convene.
People– no linked people
Updated 04/02/26Funding Details
Updated 04/02/26- Annual Budget
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Org Details
Updated 04/02/26Collider is a coworking and community space in New York City designed specifically for professionals working on AI safety, effective altruism, global health, animal welfare, and related high-impact causes. Operating from an address in the Chelsea neighborhood of Manhattan, Collider provides a physical home for a community of practitioners who might otherwise work in isolation across the city. The organization traces its origins to a broader effort to establish an EA and AI safety-focused hub in New York City. In late 2024, Impact Ops coordinated with several stakeholders to recruit a founding team and secure space for what was then called the NYC Impact Hub. By early 2025 the project had launched under the Collider brand, with a website at collider.nyc. Joe Murray, who previously worked at 80,000 Hours, the Future Impact Group, and the London Initiative for Safe AI, served as a founding team member. Jessie Hsia also joined as a Project Manager. Collider is part of a growing ecosystem of physical community spaces serving the AI safety and EA fields in major cities, analogous to Constellation in Berkeley and Mox in San Francisco. The space aims to reduce the friction of community-building in New York City by providing a dedicated venue for coworking, events, and collaboration among individuals and organizations doing high-impact work.
Theory of Change
Updated 04/02/26By providing a dedicated physical space in New York City, Collider aims to accelerate AI safety and high-impact work by reducing isolation among practitioners, facilitating serendipitous collaboration, and enabling the formation of new projects and professional relationships. The causal chain runs from a concentrated community of co-located researchers, engineers, policymakers, and advocates, to more frequent knowledge-sharing and coordination, to higher-quality and faster-moving work on AI safety and related causes. Physical proximity and a shared professional culture are seen as catalysts that amplify the impact of individuals who are already committed to the field.
Grants Received
Updated 04/02/26Projects– no linked projects
Updated 04/02/26Discussion
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