Reliably aligning LLMs is impossible in principle

The author argues that solving alignment for large language models is impossible in principle because LLMs operate without fixed goals and continuously shift through organic, multifarious personalities. Furthermore, the author contends that achieving a full, human-like understanding of LLMs' motives is unachievable and that mechanistic interpretability tools cannot reliably predict or prevent rare, catastrophic failure modes. Open article →