Empowering Alignment: Progressing Toward Superhuman AI Safety

The Exciting Opportunity for ML Research Community to Make Progress on AI Alignment

In the field of Artificial Intelligence, there are key difficulties in aligning future superhuman models. It may be easier for future models to imitate weak human errors than for current strong models to imitate current weak model errors, which could make generalization harder in the future.

Despite these challenges, addressing this issue today is crucial in making empirical progress on aligning future superhuman models. It presents an exciting opportunity for the ML research community to make strides in AI alignment.

How to Get Involved

  • Open Source Code: We are releasing open source code to make it easy for researchers to start weak-to-strong generalization experiments today on GitHub.
  • Grants Program: We are launching a $10 million grants program for graduate students, academics, and researchers to work on superhuman AI alignment. Research related to weak-to-strong generalization is especially encouraged.

It is now easier than ever to make empirical progress on this important issue. Figuring out how to align future superhuman AI systems to be safe has never been more important. The potential breakthroughs that researchers will discover are eagerly anticipated.

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