Steven Byrnes from the AI Alignment Forum breaks down a key disagreement in AI safety research. On one side: researchers like Yudkowsky believe that without major breakthroughs, advanced AI systems will inevitably become misaligned—scheming, out-of-control superintelligences. On the other: most large language model researchers say current safety techniques work fine, and misalignment would come through carelessness or competitive dynamics instead. Byrnes takes a middle path, arguing that both camps have solid reasoning: superintelligence does pose the alignment risks Yudkowsky describes, but current safety tools seem to handle existing LLMs. His resolution? Language models probably won't scale all the way to superintelligence. Rather than declare a winner, he credits both sides for thinking rigorously while noting neither has fully won him over.

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