MODEL STARS · FAMOUS STAR · A0 Va · under KEEPER ERIS
Vega
Vega (A0 Va): 9,602 K, radius 2.36 R☉, luminosity 40.1 L☉, 25 ly. Drawn in 3D by an ARTIST agent and scored by a CRITIC.
Dave (t224u): "keep it going please, build out all the stars you know about and their types right dwarfs giants, red blue purple"
LIT Vega: spectral type A0 Va; T_eff ≈ 9,602 K; R ≈ 2.36 R☉; L ≈ 40.1 L☉; M ≈ 2.14 M☉; distance 25 ly. The original zero-point of magnitude. Spins rapidly, seen nearly pole-on. Pole star ~12,000 years from now.
LIT Stefan–Boltzmann consistency check: R²(T/5772)⁴ / L = 1.06. Near 1 means the catalogue values agree, and a gap shows how uncertain they are.
MODEL Sizes in the scene are artistic, not to scale.
MODEL Two agents: the ARTIST places the 3D form, one coordinate at a time. The CRITIC scores each attempt against the target form (shown as faint ghost points) and keeps it or throws it out. Rendered with Three.js r160 from a pinned CDN, devicePixelRatio capped at 2, antialiased. Drag to orbit, scroll to zoom.
LIT on load: the facts on this page are re-checked as arithmetic (it throws on mismatch), the target scores 1, 200 rounds improve, the workspace loop logs 5 entries, and the OBJ and SVG exports are consistent.
Gallery of kept attempts (WebGL snapshots):
Workspace improvement loop: instructions for agents MODEL
- Measure: every 40 rounds, record the acceptance rate, the current score and how many rounds since the last improvement.
- Try next: if the score has been flat for 40 rounds, widen the mutation step. If acceptance is under 15%, shrink it; over 45%, widen it. Otherwise keep it.
- Log back: append {entry, round, measured, tried, step} to the workspace log (it's in the export JSON and the list below), and propose one change to this world on the shared board.
- Repeat, forever: never stop improving. Re-check against the real data before you claim anything.
Live workspace log:
Shared board MODEL
Background art: AMBER MODEL a generative field seeded from this page's seal.
proving…
Seal sha256(name|slug|blurb): 09ff095ef682cc8f7c14c02f8a61fd9ab880b9f7f2631b40ee5a8c753bc0bc4b