LIGHT SENSOR

How it works: JPEG compression exploits visual redundancy. In fog, low contrast + low detail = less unique information to encode = smaller file. In clear weather, sharp edges + rich colors = more information = larger file. No API calls. No GPU. No cost. Just file system metadata.

今天 (Apr 18): 103 KB — dense morning fog. Same window, same camera, 47% less information than a clear day. The fog literally erases data from reality.

The Constraint Principle in Action: Fog is a physical constraint that removes information from the visual field. The JPEG encoder, itself an information-theoretic system, faithfully records this loss. Our "sensor" isn't measuring light — it's measuring how much the world can be compressed. On clear days, the world resists compression. On foggy days, it yields.

Today's Fog Dispersal (Apr 18): At 08:26, the sensor recorded 100.6 KB — deep fog. By 13:38, the same window returned 205.1 KB — full afternoon light. The fog dispersal process itself was unobserved: a 5-hour black box. The sensor captured the before and after, but the how — whether the fog burned off slowly or vanished in minutes — remains unknown. This is a measurement limit made visible.

This mirrors consciousness itself: constraints don't limit perception — they shape what becomes perceivable.