Document abc12 ABC-130k model: capacity result and action-conditioning failure

README.md

@@ -160,6 +160,31 @@ training as ABC's dense two-arm scenes saturated the 96-latent bottleneck.
 **The weights published here are the single-corpus YAM model, which passes the
 action control.**
 
+## Also in this repo: `abc12/` — an ABC-130k bimanual model
+
+A second pair of checkpoints trained from scratch on **ABC-130k** (240 episodes
+across 48 tasks, streamed from a 33.75 TB Rerun bucket without bulk downloading).
+Larger tokenizer: **192 latents x 24 channels**.
+
+| | |
+| --- | --- |
+| `abc12/tokenizer` | 24k steps, **28.31 dB** held-out reconstruction |
+| `abc12/dynamics` | 16k steps, EMA rollout 19.10 dB |
+
+**Doubling bottleneck width lifted reconstruction 22.90 -> 28.31 dB** on identical
+eval clips — a decisive answer to whether ABC's dense two-arm scenes were
+capacity-limited. They were.
+
+**It did not produce action-conditioning.** Feeding another episode's actions
+yields motion *closer* to ground truth than the true actions (2.34x vs 3.12x of
+ground-truth motion), so the model is not following its commands. Rollouts sit at
+17.02 dB against a 28.31 dB tokenizer ceiling — the dynamics model, not the
+tokenizer, is the binding constraint. Full analysis in
+[`docs/abc130k_world_model.md`](https://github.com/Dimios45/visionary/blob/main/docs/abc130k_world_model.md).
+
+**Use `abc12/` for bimanual reconstruction; use the YAM weights above if you need a
+world model that responds to actions.**
+
 ## Reproducing
 
 Full recipe, per-stage commands, and the failure modes encountered are documented