AI X-risk Research Podcast (AXRP)
AXRP (pronounced "axe-urp") is the AI X-risk Research Podcast, hosted by Daniel Filan. Each episode features a conversation between Filan and a researcher about a paper they have written, exploring the ideas in the paper and why they matter for reducing AI existential risk. The podcast launched in December 2020 and has released over 49 episodes covering a wide range of AI safety topics including alignment, interpretability, and governance. It is available on all major podcast platforms and features full transcripts on the website axrp.net.
Funding Details
- Annual Budget
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- Monthly Burn Rate
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- Current Runway
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- Funding Goal
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- Funding Raised to Date
- $28,824
- Fiscal Sponsor
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Theory of Change
AXRP aims to make AI safety research more accessible and understandable by providing in-depth conversational interviews with researchers about their work. The podcast's theory of change is that informal conversations expose the motivations, intuitions, and confidence levels behind published research in ways that papers alone cannot, helping researchers, funders, and the broader community better understand and engage with AI safety ideas. By building awareness and comprehension of x-risk research, AXRP helps grow and inform the community of people working on or funding AI safety.
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Details
- Last Updated
- Apr 2, 2026, 9:58 PM UTC
- Created
- Mar 19, 2026, 10:31 PM UTC