Support for Attending ICLR 2026 conference to present 2 posters

Safe AI Germany (SAIGE)

Germany’s talents are critical to the global effort of reducing catastrophic risks brought by artificial intelligence.

AI Readiness Objectives for AGI Preparedness

A shared framework, case studies, and decision tools to help policymakers and AISIs identify gaps, prioritize interventions, and coordinate AGI readiness.

Hypothesis Prism: A Structural Representation Layer for Scientific Experiments

LLMs scale language, not method. HP turns hypothesis-driven papers into machine-readable maps of variables, controls, stats, and findings for researchers & AI.

Help a Bootstrapped AI Risk Literacy Founder Get To IASEAI 2026 in Paris

Nutrition labels transformed food safety through informed consumer choice, help me do the same for AI and make this standard :)

Towards Shared AI Compute Infrastructure

SOPHIA: Open-Source Epistemic Constitution for AI Reasoning

An executable reasoning quality framework that checks whether AI-generated arguments are logically sound — not just factually accurate. Live at usesophia.app.

Law School for AI Governance

Support my postgraduate law studies and research in AI Governance

Job Security Compass

An Interactive Tool for Navigating AI Career Risk

AI Security Startup Accelerator Batch #2

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

Formal Certification Technologies for AI Safety

Developing the software infrastructure to make AI systems safe, with formal guarantees

Fund thebes' model tinkering

Research, tutorial writing, and open-source libraries & tools for experimenting with language models

FloraForge: Aesthetic Gene Editing in Petunias

A modular gene-editing platform for engineering new pigment patterns in ornamental plants, starting with a vein-pattern rescue line in petunias.

Software to detect data fabrication

Continue developing ‘copy-paste-detective’ - a software that detects signs of data fabrication in scientific research - and run it against 20,000 publicly available Excel datasets.

SDCPNs for AI Safety

Developing correct-by-construction world models for verification of frontier AI

Disentangling Political Bias from Epistemic Integrity in AI Systems

An Integrative Framework for Auditing Political Preferences and Truth-Seeking in AI Systems

Eliminating the Effective Altruism (EA) Grant Evaluation Bottleneck with Graev

Seeking funding to secure API infrastructure and permanently eliminate the rate limits bottlenecking open-source EA grant evaluation.

[Retroactive] Funding for developing new "substrate-flexible risk" threat model

I self-funded research into a new threat model. It is demonstrating impact (accepted at multiple venues, added to BlueDot's curriculum).

Real-Time Detection of Hallucinations in Large Language Models

Measuring and Visualizing Model Uncertainty During Inference

TAAC: Cross-Provider Safety Analysis of Prompt Compression in LLM Inference

Novel safety failure modes discovered across 7 LLM providers with 35,000+ controlled inference trials. Targeting NeurIPS 2026.