It has recently been suggested that large language models (LLMs) fine-tuned on the corpus of text from palliative care patients could be used to alleviate their distress by completing projects or relationships that would otherwise be cut short by their deaths. For example, a fine-tuned LLM could be used to complete the novel of a dying author. I contest the alleged benefits of this technology by drawing on the philosophy of Martin Heidegger. Heidegger claims that our anticipation of death is significant because of its ability to induce anxiety, which he characterises as a collapse in the meaningfulness of our self-interpretations. This experience is valuable because it enables us to live authentically, that is to say, in a way that understands that we are not necessarily defined by any of our meaning-giving self-interpretations. I argue that fine-tuned LLMs would disarm death of anxiety and the benefits of authenticity, above all the ability to live with greater flexibility and openness to the present. After considering the potential benefits that fine-tuned LLMs may nonetheless bring to palliative care, I conclude that they should not replace the work of human therapists capable of guiding the dying through these intense existential feelings.
