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Problem

Frontier AI is scaling far faster than safety, governance, and incident-response capacity. Capital, talent, and political attention are flowing into building bigger models and infrastructure, while the field trying to reduce AI x-risk is comparatively underfunded, fragmented, and slow.

If nothing changes, deployment and capability scaling will continue to outrun safety and governance.

• Funders inside the field need more capable founders & projects; funders outside the field barely see the problem space at all and rarely fund short, testable projects.
• Emerging and small orgs in AI x-risk/safety have real, time-sensitive needs (fundraising, marketing, ops, program design) but lack the capacity to scope them crisply, staff them, or raise the money to execute.
• Hundreds of people complete SERI MATS, MLSS, AI safety bootcamps, governance fellowships, or pivot from adjacent careers. Only a small fraction find pathways into real work within 3–6 months.

There is no shared, live “field map” of needs, talent, and feasible interventions, nor pooled funds designed to move quickly on bottlenecks.

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Solution: A Field Execution Engine for AI Safety

A small, focused organization that maps field needs and resources, designs pop-up collaboration projects (“scope → fund → staff → deliver”) that helps multiple AI safety orgs close non-technical bottlenecks in a matter of months, and converts funders via concrete, measurable pilots.

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Roadmap

MVP: Needs Map & Ally Engine (Months 0–6)

Pilot Pop-up Project (Months 6–12)

Series of Pop-up Projects + Agency Build (Year 2)

Field Map & Pooled Funds (Years 2–3)

Theory of Change

Key assumptions to pressure-test early

Budget & Needs for Pilot

Numbers are indicative and based on current best guesses. They will be refined with partners and funders.

MVP & Fundraising (Months 1-6) ~$50-$64

Phase 2 – Pilot Pop-up Project (Months 6-12) ~$300k

Founder: Oksana Kotelnikova, 7+ years building and scaling NGOs in civic tech and humanitarian response, now field-building in AI safety.

Join me! I’m looking for:

Individual Participants: Mid-career/senior people pivoting into AI x-risk/Safety

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Join to use the DB

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• Share your skills & career goals
• Use the directory of organizations working on AI x‑risk/safety, with their current needs. Pivot programs ask people to map target orgs and match skills to needs - so a shared space saves time.

Contributors: People working in AI Safety, Governance, and field-building

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Contribute

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• Help refine the MVP scope and metrics.
• Co-host a small roundtable or workshop to surface org needs.
• Lend 5–10 hours as an expert reviewer for the needs map, matching model, or pilot design.