If your p(doom) > 0, why are you accelerating frontier lab research?
_arohan_ · x · 2026-09-21
- arohan poses a logical challenge: if you believe p(doom) > 0, you shouldn't willingly accelerate research, training data, and training at frontier labs.
- His inference: most researchers at these labs effectively hold p(doom) close to zero.
- He calls on anyone who genuinely believes current models have p(doom) = 0 to say so publicly.
Related event: Researcher Questions Why AI Staff Accelerate Development If p(doom)>0(4 posts)→
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