Scaling EA/AIS Manchester

Running an EA and AIS group, connecting participants to high impact orgs

TransformerLens - Bridge Funding

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

AI Safety Los Angeles (AISLA)

The official AI safety community in Los Angeles

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

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

Asterisk AI Blogging Fellowship

The First Workshop on Mechanistic Interpretability for Vision

Implicit planning in LLMs Paper

Reproducing the Claude poetry planning results quantitatively

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

Geoffrey Hinton & Yoshua Bengio Interviews Secured, Funding Still Needed

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

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.

Split Personality Training

Revealing Latent Knowledge Through Personality-Shift Tokens

GENESIS Protocol: Building Safe, Transparent AGI

Building a transparent, symbolic AGI that runs millions of tokens/sec on CPUs, making safe, explainable AI accessible to everyone.

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.

Synthetic pretraining to make AIs more compassionate

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