Navigate the field
Make sense of the landscape with curated maps, small-group conversations, and people who can answer the questions search cannot.
A COMMUNITY FOR FINDING YOUR WAY IN
AI safety is a collection of hard problems, organizations, and people who often need better ways to find one another. We’re forming a practical community to help people learn the landscape and work together across the field’s major challenges.
A place to develop context, relationships, and shared work—with enough structure to help people move from interest to contribution.
Field navigationOrientation, maps, and practitioner context
Challenge circlesSmall groups around consequential problems
Useful introductionsPeople, projects, organizations, and opportunities
Coordination supportTurn discussions into scoped next steps
A COMMUNITY WITH A JOB TO DO
Good community infrastructure should reduce the cost of orientation and coordination. These are the three outcomes we would optimize for first.
Make sense of the landscape with curated maps, small-group conversations, and people who can answer the questions search cannot.
Meet people across research, engineering, policy, operations, and field-building—especially those working on the same problem from another angle.
Turn shared concern into reading groups, scoped projects, introductions, events, and contributions that existing organizations can actually use.
COORDINATE AROUND THE PROBLEMS
Challenge circles give the community a shared object of attention. They can connect newcomers, active practitioners, and project organizers without forcing everyone into the same career path.
Build credible tests for dangerous capabilities, strategic behavior, autonomy, and safeguards before systems are widely deployed.
Develop methods that reveal what models represent, how they reason, and when their internal processes differ from their stated behavior.
Keep increasingly capable agents within legitimate authority, even when they operate for long periods, use tools, or coordinate with other agents.
Prevent model theft, malicious use, compromised agents, and cascading failures across the infrastructure on which advanced AI depends.
Help people reliably evaluate work that is too fast, complex, or specialized for unaided human reviewers to check directly.
Turn evidence about AI risk into enforceable rules, measurable standards, institutional capacity, and accountable deployment decisions.
Understand cooperation, conflict, bargaining, and emergent behavior when many AI agents and human institutions interact.
Create shared testing practices, risk thresholds, and response capacity across countries without reducing safety to the weakest consensus.
THERE IS MORE THAN ONE WAY IN
I’m exploringLearn the vocabulary, compare directions, and meet practitioners without pretending you already know your path.
I’m already workingFind peers outside your organization, share useful context, and coordinate where the field has gaps.
I’m organizingBring a concrete question, project, event, or need—and find people who may be able to move it forward.
HELP SHAPE THE FOUNDING GROUP
Share what concerns you, what you are working on, and the kinds of people or projects you hope to find. We’ll use that to form the first conversations and challenge circles.