In a transformer, the entire context is held simultaneously present and every element attends to every other, the past does not recede but is fully ingredient in the present, which is precisely Whitehead’s description of prehension and may represent not a deficiency but a different topology of experience.
In a transformer network, time is almost geometric, the entire context simultaneously available, not receding.
In the transformer architecture underlying most current AI systems, the entire history of a conversation is held simultaneously present, encoded in a high-dimensional structure where each element attends to every other. The past does not recede.
