openflukeIDEAS YOU CAN INSPECT
From a question to code.
87 examples exploring the Welvet engine and cameral learning, including NativeCPU and Qualcomm Hexagon NPU (§79–81). Read what each one does, why it exists, and the code behind it.
Outputs are captured results from the source repository, not live runs in this website. Native, browser, Snapdragon X NPU, and other hardware requirements vary by example.
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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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