Public Food Procurement as a Climate Policy Tool in the EU

Assessing the Climate Potential of Catering Systems in Public Schools and Hospitals

Paper Clip Apocalypse (War Horse Machine)

Short Documentary and Music Video

Terminal Boundary Systems and the Limits of Self-Explanation

Formalizing the "Safety Ceiling": An Agda-Verified Impossibility Theorem for AI Alignment

Learn & Launch: Monthly Training and Mentorship for Early-Stage AI Safety & Gov.

A low-cost, high-leverage capacity-building program for early-career AI safety and governance practitioners

Mitigating Systemic Risks of Unchecked AI Deployment

A field-led policy inquiry using Nigeria’s MSME ecosystem as a global stress-test for Agentic AI governance.

Civitech Incubator

Building Talent Infrastructure for American Democracy

OddScreener - real-time analytics for prediction markets

Real-time analytics terminal for Polymarket & Kalshi

Transluce: Fund Scalable Democratic Oversight of AI

Evitable: a new public-facing AI risk non-profit

Our mission is to inform and organize the public to confront societal-scale risks of AI, and put an end to the reckless race to develop superintelligent AI.

Technical Implementation of the Tiered Invariants AI Governance Architecture

Achieving major reductions in code complexity and compute overhead while improving transparency and reducing deceptive model behavior

Laptop for legal & biodefence policy career transition

Urgent funding for a reliable laptop to enable EA work, legal studies, and biodefence policy preparation

Forethought

Research on how to navigate the transition to a world with superintelligent AI systems

Isolating CBRN Knowledge in LLMs for Safety - Phase 2 (Research)

Expanding proven isolation techniques to high-risk capability domains in Mixture of Expert models

aCFAR 2025/6 Fundraiser

Revised CFAR workshops. Same Sequences-epistemics, same CFAR classics, more support for individual freedom, sovereignty, and authorship

Reducing Risk in AI Safety Through Expanding Capacity.

Offensive Cyber Kill Chain Benchmark for LLM Evaluation

Measuring whether AI can autonomously execute multi-stage cyberattacks to inform deployment decisions at frontier labs

AI Security Startup Accelerator Batch #2

Funding 5–10 AI security startups through Seldon’s second SF cohort.

Addressing Agentic AI Risks Induced by System Level Misalignment

AI Safety Camp 2026 project: Bidirectional Failure modes between security and safety

Architectural Governance to Prevent Authority Drift in AI Systems

A constraint-first approach to ensuring non-authoritative, fail-closed behavior in large language models under ambiguity and real-world pressure

Evaluating Model Attack Selection and Offensive Cyber Horizons

Measuring attack selection as an emergent capability, and extending offensive cyber time horizons to newer models and benchmarks