FAR AI — AI Interpretability Research

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Open Philanthropy recommended a grant of $100,000 to FAR AI to support a research project, led by Open Philanthropy AI Fellow Alex Tamkin, aimed at developing a neural network architecture that could serve as a more interpretable alternative to the transformer architecture used in leading language models.

This follows our December 2022 support and falls within our focus area of potential risks from advanced artificial intelligence