Over the past year, I’ve noticed that AI has become vastly more useful to me. Not simply because the models have become more intelligent, but because they have developed something that was largely absent before: persistent memory. ChatGPT now remembers earlier conversations, my intellectual interests, projects I’ve worked on, and questions I’ve struggled with. When I ask something new, the response is increasingly informed by everything that came before. This observation occurred to me while reading Hans-Georg Gadamer’s “Truth and Method”, specifically his discussion lived experience. Gadamer develops an insight that can be summarized this way: An experience is not simply something that happens to us. It becomes part of who we are, continues to shape us, and acquires meaning within the larger context of our lives. An experience is not merely stored in memory. Its meaning continues to unfold through subsequent experiences. Something that happened thirty years ago may take on entirely new significance because of what we have learned or encountered since. I began wondering whether something analogous is happening with AI. Until recently, interacting with AI was largely transactional. You asked a question, received an answer, and moved on. Each conversation was essentially independent. Persistent memory changes that relationship. The system can now interpret new questions within the context of an accumulating history. This is particularly interesting in light of Gadamer’s hermeneutics. For Gadamer, understanding never occurs in isolation. We interpret everything from within a horizon shaped by history, language, tradition, and previous encounters. In a limited but significant sense, persistent memory gives AI something resembling a historical horizon. For example, recently I’ve had many questions about Kant, Hegel, and Heidegger. An AI that knows nothing about me can explain these philosophers competently. But an AI that knows my background in theology, photography, and sculpture can connect their arguments to questions I have been exploring for years. The difference is not simply personalization. It is contextual interpretation. There is, of course, an important distinction. Human memory belongs to an embodied life, with its mortality, relationships, commitments, and subjective experience. AI memory is computational. We have no basis for assuming that remembering conversational information gives a machine the lived experience Gadamer describes. But perhaps that distinction makes the development more interesting. What if understanding does not always require the same kind of existence? What if increasingly sophisticated AI can participate in historically situated interpretation without experiencing history as human beings do? There is another possibility. Even if AI never possesses lived experience, it is already becoming part of the process through which we develop our understanding. Perhaps the most consequential development in AI is not simply that machines are becoming better at answering questions. It is that, through memory and sustained dialogue, they are becoming participants in the ongoing formation of human understanding.

Have you noticed that when backing out of a parking space pedestrians no longer stop and wait? They walk right across the path of your moving vehicle. That didn't happen twenty years ago. Backup cameras, rear cross-traffic radar, and warning chimes haven't just changed the car—they've retrained the pedestrian to assume the machine will see them and stop. Every safety system rewrites the habits of the people around it. Unintended consequences.