Large Language Models Live in Time
New research suggests AI's sense of time is fundamentally different from human experience.
Deep Dive
A new analysis argues that large language models (LLMs) do not experience time as a continuous flow like humans. Instead, they may perceive time through discrete units like tokens or computational steps, creating a fundamental asymmetry with calendar time. The author proposes a new field of 'AI neurochronometry' to study the timing of neural processes within AI models, drawing parallels to neuroscience to better understand and predict model behavior.
Why It Matters
Understanding how AI perceives time is crucial for predicting its behavior and ensuring safe development.