PSA: We can do better

Researchers in the AI safety community are calling for a shift in how people approach the risk of existential threats from artificial intelligence. As LessWrong tells it, many newcomers are prioritizing fast execution and auxiliary support roles over the deep, fundamental thinking required to solve the field's hardest problems. The authors argue that relying on popularity or 'vibes' to determine impact can lead to inefficient work that fails to address actual bottlenecks. They are urging practitioners to build stronger individual models of the problem and seek diverse feedback to raise the overall standard of safety research.

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