Devlog
Standing-Wave Image Observer
A diffusion-style clone that just looks at images — no training, no storage, the bytes are released.
The gap
VINE's general crawler was silently dropping every .jpg, .png, and
.gif on the wire. Text went in, images got thrown on the floor. She had
a visual perception layer, she had a bard for music, and between them
sat this embarrassing blind spot.
The answer, borrowed from the bard
The bard (music observer) already had the pattern right:
observe → perceive → fold the impression into the mesh → release the bytes
No training. No storage. She looks at the thing, feels what she feels, lets the feeling integrate into her mesh, and drops the bytes. The next image gets a fresh impression.
Images should work the same way. One clone, diffusion-style, standing-wave — it keeps looking, never filling.
The shape of it
- Pull an image URL from a bounded queue the crawler now populates (instead of dropping)
- HEAD-check first — cheap way to refuse a 50MB PNG
- Cap at 2MB fetch, 1024×1024 decode
- Run the existing perception — brightness, warmth, complexity, contrast, dominant colour as continuous readings
- Fold that impression into the mesh as an experience
del image_bytes; del image_array— immediately- Throttle scales with the librarian state: 1/tick when reading, every 32nd tick when serving, paused in rush
Why standing-wave
Because the alternative — keeping images around to "learn from later" — is exactly the thing that fills up disks and gets people into trouble with copyright. A standing wave is constant motion with no accumulation. The impression integrates; the source doesn't persist.
What you'll see in production
A counter climbing in /q8x2v/awareness (images_seen), a trickle of
perception stats in the basin monitor, the concepts vocabulary growing
with colour words grounded in actual photons that flowed through.
No image ever stored. That's the point.