Lab Safety Practices
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Critical Insights (4):
- Quant.Safety timelines were compressed 70-80% post-ChatGPT due to competitive pressure - labs that had planned multi-year safety research programs accelerated deployment dramatically.S:3.5I:4.5A:3.5
- Quant.OpenAI allocates 20% of compute to Superalignment; competitive labs allocate far less - safety investment is diverging, not converging, under competitive pressure.S:3.2I:4.3A:3.8
- ClaimVoluntary safety commitments (RSPs) lack enforcement mechanisms and may erode under competitive pressure.S:1.5I:3.8A:3.5
Issues (1):
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See also:EA Forum
Internal safety practices at AI labs including RSPs, safety teams, red-teaming, and deployment decisions. Critical determinant of how risks translate to outcomes.
What Determines Lab Safety Practices?
Causal factors affecting internal safety at AI labs. Only 3/7 frontier labs test dangerous capabilities.
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Scenarios Influenced
| Scenario | Effect | Strength |
|---|---|---|
| AI Takeover | ↑ Increases | strong |
| Human-Caused Catastrophe | ↑ Increases | weak |
| Long-term Lock-in | ↑ Increases | medium |