The speaker discusses the challenges and landscape of funding in the field of AI safety, emphasizing the importance of mitigating risks associated with AI development. They mention the need for retroactive funding and reliance on proxies to measure funding effectiveness. Different beliefs within the AI safety community regarding intervention strategies are also discussed. The current funding landscape is described, including main funders and their approaches. The lack of funding in policy work and cross-country coordination, as well as social movement interventions, is noted. The speaker proposes a roadmap for future funding, focusing on safe scaling of labs, international cooperation, limiting capabilities proliferation, and increasing policy world cooperation. Specific projects that are fundraising and open to contributions are mentioned.