The First Actionable Interpretability Workshop at ICML 2025

https://actionable-interpretability.github.io/

Acausal research and interventions

Making sure AI systems don't mess up acausal interactions

The AI Safety Research Fund

Creating a fund exclusively focused on supporting AI Safety Research

Demonstration of LLMs deceiving and getting out of a sandbox

Keep Apart Research Going: Global AI Safety Research & Talent Pipeline

Funding ends June 2025: Urgent support for proven AI safety pipeline converting technical talent from 26+ countries into published contributors

Asterisk AI Blogging Fellowship

Implicit planning in LLMs Paper

Reproducing the Claude poetry planning results quantitatively

The First Workshop on Mechanistic Interpretability for Vision

Synthetic pretraining to make AIs more compassionate

Enabling Compassion in Machine Learning (CaML) to develop methods and data to shift future AI values

'Making God': a Documentary on AI Risks for the Public

Filming a feature-length documentary on risks from AI for a non-technical audience on streaming services

Scaling AI safety awareness via content creators

4M+ views on AI safety: Help us replicate and scale this success with more creators

Mox, a coworking & events space in SF

For AI safety, AI labs, EA charities & startups

Suav Tech, an AI Safety evals for-profit

General Support for an AI Safety evals for-profit

Split Personality Training

Revealing Latent Knowledge Through Personality-Shift Tokens

Out of This Box: AI Safety Musical

Out of This Box: The Last Musical (Written by Humans)

Coordinal Research: Accelerating the research of safely deploying AI systems.

Funding for a new nonprofit organization focusing on accelerating and automating safety work.

VSPE Flattery-Reduction Benchmark & Licensing Pilot

Open benchmark and turnkey license that helps AI teams curb flattery in frontier models via the four-step VSPE Framework

AI Governance Exchange (focus on China, AI safety), Seed Funding

Building bridges between Western and Chinese AI governance efforts to address global AI safety challenges.

Cash runway while I go through interviews/wait for OpenPhil's grant decision

I've self funded my ramp up for six months and interview/grant processes are taking longer than expected.

Concept-anchored representation engineering for alignment

New techniques to impose minimal structure on LLM internals for monitoring, intervention, and unlearning.