AI Safety Requires External Regulation and Transparency Beyond Lab Self-Interest
joshua_saxe · x · 2026-08-30
Joshua Saxe discussed the governance structure of AI safety, suggesting that while labs will fund a baseline of safety out of self-interest, exceeding that floor requires external efforts.
Key points:
- External Advocacy: Promoting regulation that is exogenous to the labs.
- Public Accountability: Conducting work that drives transparency and holds AI companies accountable, citing METR as an example.
In a follow-up, he suggested that individuals with financial or immigration stability should consider working on safety advocacy outside of labs, as labs can easily recruit those without such flexibility.
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