Algorithmic Governance for A Narrow Path

Josh Thorsteinson

We found that A Narrow Path has a major weakness: algorithmic improvements that make AI more efficient can bypass compute-based safety controls. We recommend expanding oversight to include algorithm development, restricting high-risk algorithms, requiring safety testing for efficient algorithms, and watermarking AI models to prevent unauthorized copying. These changes would strengthen A Narrow Path against dangerous AI development.

Reviewer's Comments

Reviewer's Comments

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Tolga Bilge

I liked the algorithmic efficiency forecasting and the policy suggestions.

Dave Kasten

Overall, a focused and interesting critique. We agree that algorithmic speedups are indeed a concern and think your focused critiques here are interesting. Some of your solutions are particularly interesting but challenging -- for example, the list of dangerous algorithmic methods would be helpful for regulators, but also could inadvertently provide a roadmap for those defecting from the rules to not build such a thing.

Still, some very thoughtful ideas here and a clear presentation of why algorithmic speedups are a risk.

Cite this work

@misc {

title={

@misc {

},

author={

Josh Thorsteinson

},

date={

6/13/25

},

organization={Apart Research},

note={Research submission to the research sprint hosted by Apart.},

howpublished={https://apartresearch.com}

}

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This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.
This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.