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The Foundation Layer: A Philanthropic Guide to AI Safety
webfoundation-layer.ai·foundation-layer.ai/
This guide is aimed at major donors and philanthropists rather than researchers; it serves as a field-level overview and fundraising resource for the AI safety ecosystem, useful for understanding how AI safety is communicated to funding audiences.
Metadata
Importance: 58/100organizational reporteducational
Summary
A comprehensive guide by Tyler John (Effective Institutions Project) designed to persuade major philanthropists to fund AI safety work. It outlines AGI timelines, three categories of existential risk (loss of control, malicious use, power concentration), and proposes a five-pillar philanthropic strategy covering alignment science, nonproliferation, defensive technology, power distribution, and talent mobilization.
Key Points
- •Argues that AI poses catastrophic and existential risks across three axes: loss of human control over AI, malicious use by bad actors, and dangerous concentration of power.
- •Proposes a five-pillar philanthropic strategy: alignment science, nonproliferation, defensive technology, power distribution, and talent mobilization.
- •Provides a practical getting-started guide for donors, including specific recommended funds, organizations, and philanthropic advisors in AI safety.
- •Frames AI safety funding as one of the most important and neglected philanthropic opportunities, targeting audiences with significant capital to deploy.
- •Covers AGI timeline considerations and translates technical AI safety concerns into accessible language for a non-technical donor audience.
Cited by 2 pages
| Page | Type | Quality |
|---|---|---|
| Longtermist Funders (Overview) | -- | 3.0 |
| The Foundation Layer | Organization | 3.0 |
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The
Foundation
Layer
A philanthropic strategy for the AGI transition
by TYLER JOHN
[Overview](https://foundation-layer.ai/) [Executive Summary](https://foundation-layer.ai/executive-summary) [About the Author](https://foundation-layer.ai/tyler-john)
[1. Introduction](https://foundation-layer.ai/introduction) [II. The Exponential Trend](https://foundation-layer.ai/exponential-trend) [III. Civilization-scale Threats](https://foundation-layer.ai/threats) [IV. The Philanthropic Solution](https://foundation-layer.ai/solution) [V. The Case for Philanthropy](https://foundation-layer.ai/case-for-philanthropy)
[VI. Political Giving and Impact Investing](https://foundation-layer.ai/political-giving-investing) [VII. Why the Problem Remains Neglected — For Now](https://foundation-layer.ai/neglected-for-now)
[Appendix A: How to Get Started](https://foundation-layer.ai/getting-started) [Appendix B: AI Consciousness](https://foundation-layer.ai/ai-consciousness) [Appendix C: How AI Works](https://foundation-layer.ai/how-ai-works)
"An extremely useful report for any philanthropist interested in funding AI safety and preparedness."
— Geoffrey Hinton, Nobel prize winner in physics, 2024
About the Foundation Layer
In the Cold War, philanthropists became the glue that held the world together. We’re poised to do it again today in the age of AI. By being laser focused on the problem, philanthropists to date have done as much for AGI safety and preparedness as governments and AI companies have with a tiny fraction of their resources, creating a more secure foundation layer on which society can build. But with a problem of this magnitude we’re going to need everyone, and more resources, approaches, and talent than ever before.
In this report I make the case that there is a meaningful chance of AI that can do everything that humans can do in just a few years. This leads to civilization-scale threats: loss of control, the development of powerful new dual-use technologies like novel bioweapons, and the radical concentration of power. These problems have mostly clear, tractable solutions: machine learning research, defensive technologies, and governance approaches. But we have limited time to get them in place.
With ordinary technologies, we can iterate gradually over decades to create a society resilient to its impacts. But AI is not an ordinary technology. It is achieving faster progress and faster uptake than any technology before, with a much higher ceiling on what is possible, under weak institutions with limited technological expertise, and backed by 7 companies that account for 24% of global GDP. It is a technology that we interface with in natural language, that increasingly designs itself, and that has a real chance of automating all human decision-making in mer
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