大型语言模型中的“幻觉”概念被误诊为错误，而实际上它是核心机制。真正的问题在于将概率性工具错误地应用于需要确定性工具的场景，导致输出不可靠。这种观点认为，重点应从修复幻觉转移到为确定性任务优化底层架构。 AI
影响 重新评估AI架构可能为特定任务带来更可靠的确定性输出。
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AI幻觉被误诊为错误，真正问题在于架构
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Everyone is talking about hallucination. That's the wrong diagnosis. Hallucination isn't a bug in LLMs — it's the mechanism. Turn it off and you don't have a mo
Everyone is talking about hallucination. That's the wrong diagnosis. Hallucination isn't a bug in LLMs — it's the mechanism. Turn it off and you don't have a more reliable model, you have a lookup table. The real problem is misallocated non-determinism: using a probabilistic tool…