Document dense-max-100m release

README.md

@@ -50,7 +50,7 @@ Train models to **retain**, **edit**, **address**, and **transform** state acros
 |:--|:--|:--|
 | **default** | 10,000,000 programs · 7.80 GiB | You need 36 explicit families and varied surfaces |
 | **dense-100m** | 100M episodes · 94.78 GiB | You need high-throughput training on a compact shared VM |
-| **dense-max-100m** | 100M episodes · 93.45 GiB | You need 384 families, 32 renderers, and 64 transformations |
+| **dense-max-100m** | 100M episodes · 93.45 GiB | You need maximum-density stress training on the compact register VM |
 
 Both configurations contain structured prompt, completion, and teacher-only privileged context. Every target is computed by an executable reference machine, never authored by a teacher model.
 
@@ -115,7 +115,7 @@ The default configuration includes a ready-to-use text column. dense-100m avoids
 | State systems | Transactional + temporal · Adaptive + control · Concurrent + distributed · Graph + structures |
 | Stress systems | Robust streaming · Multi-agent state · Algebraic automata · Memory pressure |
 
-default implements 36 explicit behavioral families. dense-100m provides a compact shared register VM. dense-max-100m expands the typed VM to 40 opcodes, 256 primitive families, 128 compositions, 32 structural renderers, and 64 semantic-preserving transformations.
+default implements 36 explicit behavioral families. dense-100m and dense-max-100m are compact register-VM curricula. dense-max-100m balances 384 curriculum labels and a pairwise schedule of 32 renderer IDs and 64 transformation IDs; those IDs describe coverage scheduling, while its published prompt surface remains intentionally VM-centric. The separately qualified 40-opcode/384-mechanism compiler is the foundation for the forthcoming grounded configuration.
 
 ## Expected model capabilities