openflukeIDEAS YOU CAN INSPECT
From a question to code.
81 examples exploring the Welvet engine and cameral learning. Read what each one does, why it exists, and the code behind it.
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Cameral cookbook
01 — BranchModes
When: different update rules (or idle/teacher) per camWhere: para.SetBranchModes(...) with parent NormalBPWhy: mix credit, freeze priors, distill, adversarial twins, surprise memory go run .
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02 — Combine modes
When: choosing how hemisphere posts become one tensorWhere: Config.CombineWhy: avg/add ensemble; max WTA; sparsek; disagree; filter MoE; concat widths go run ./02_combine Exits non-zero if a
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03 — CamSync
When: cams should share / pull weight DNAWhere: SetCamSync / SyncNow / CrossWhy: soft↔hard consensus, one-way teacher, groups, cross-layer go run ./03_camsync Exits non-zero if any proof fai
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04 — CamKit / LRs / Rotate / DNA / Dream
When: schedules, plasticity, replay, speciationWhere: SetBranchLRs / SetRotateSchedule / SetCamKit / DreamPulseWhy: sleep cycles, soft freeze, DNA push/pull, offline consolidation go run ./0
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05 — Every layer as cams
When: CNN / Mamba / LSTM / … as Parallel camsWhere: HemispheresFrom + twin OpsWhy: CamSync / Freeze / Train work on every hosted Op go run ./05_layers Exits non-zero if any proof fails (PASS
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06 — Recipes
When: compose modes + sync + kit into behaviorsWhere: go run ./06_recipesWhy: teacher, sleep, debate, memory, dream, concat go run ./06_recipes Exits non-zero if any proof fails (PASS / FAIL
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