American Learning FederationA Citrate model cooperative
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The model

The open model, measured.

A zone-partitioned transformer that emits a verifiable trace of its own reasoning, trained in weekly federated rounds by member nodes. Everything on this page stands on a hash someone can check.

Six zones · fixed topologycontributions converge at federation altitude
SMsensorimotor · SSMCBcerebellar · SSMHPhippocampal · attentionPFprefrontal · attentionCXcodec · attentionMXharness · non-learnedmember nodes
Five learned zones and one non-learned executive harness... nothing acts before the action gate. Every pass emits a hashable trace of which zones fired and why.
Round R-0196 · async gatherDEADLINE 18:00 UTC
14 gathered 2 submitted 2 training
Stragglers are on the deadline window, not lost... the gather is honest about what has arrived.
Corpus · v6 manifests
2.4B
tokens, deduplicated
311k
documents
0.91
mean quality score
100%
license-cleared shards
Revenue · 30 days, by rail
RAIL A
6,412 wSALT
RAIL B
3,388 wSALT
RAIL C
1,204 wSALT
On-chain SALT · x402 micropayments · attested fiat. All three converge on one treasury and one distribution.

The scale ladder

EACH RUNG IS EARNED, NOT ANNOUNCED

H-01 asks whether zone partitioning costs capability per parameter. It holds at 8M. Every rung above 32M is bought with member nodes... this ladder is what your invites move.

LIVE
8M
H-01 held · 5 of 5 seeds within noise of the dense baseline
1 node
NEXT
16M
scheduled on the DGX pilot pool
1–2 nodes
PLANNED
32M
first multi-node federated rung (Gate 4)
~4 nodes
PLANNED
125M
first rung where member GPUs matter
~12 nodes
TARGET READ
500M
the capability-per-parameter answer, at scale
~40 nodes
HORIZON
3B
requires a standing federation, not a pilot
~250 nodes
HORIZON
40B
a national-scale volunteer compute base
~3,000 nodes
HORIZON
500B
the federation-scale bet... every invite moves this
~30,000 nodes
[FIXTURES] Corpus, gather, and revenue figures are mechanism outputs from test scenarios. Node counts above 32M are estimates, not commitments.