The sophist in the server

The first time we watched a large language model (LLM) unravel a biological puzzle we had been struggling with for some time, we felt a mixture of admiration and suspicion. The model articulated a mechanistic interpretation with a fluency reminiscent of someone who had absorbed the literature with perfect recall and synthesized it into a polished explanation. When we asked for the opposite argument, much to our dismay, it produced it just as readily, with equal confidence and coherence. There was no hesitation, no sense of contradiction, no epistemic discomfort—only another well-formed line of reasoning. We exchanged the kind of look usually reserved for moments when anomalous data appear on screen: intrigued, slightly disappointed, and aware that something significant had shifted.