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Harmonic Gpt Repo

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)

Harmonic Gpt Repo has 12 facts recorded in Dontopedia across 4 references, with 2 live disagreements.

12 facts·7 predicates·4 sources·2 in dispute

Mostly:contains custom optimizer(4), rdf:type(3), rdfs:label(1)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Contains Custom Optimizerin disputecontainsCustomOptimizer

Rdfs:labelrdfs:label

  • harmonic-gpt[4]all time · 434

Has Directory PathhasDirectoryPath

  • harmonic-gpt/harmonic_gpt/optim/[1]sourceall time · 117

Contains DocumentcontainsDocument

Repository OwnerrepositoryOwner

Hosted onhostedOn

Inbound mentions (4)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

distributedAcrossDistributed Across(1)

locatedInReposLocated in Repos(1)

mightBeUsefulForMight Be Useful for(1)

referencesReposReferences Repos(1)

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

containsCustomOptimizerblah/watt-activation/117
ex:KuramotoOptimizer
containsCustomOptimizerblah/watt-activation/117
ex:KuramotoRotationalAdamW
containsCustomOptimizerblah/watt-activation/117
ex:LoheOptimizer
containsCustomOptimizerblah/watt-activation/117
ex:RotationalAdamW
containsDocumentblah/watt-activation/103
ex:m3-deploy-notes
hasDirectoryPathblah/watt-activation/117
harmonic-gpt/harmonic_gpt/optim/
hostedOnblah/watt-activation/104
ex:GitHub
labelblah/watt-activation/434
harmonic-gpt
typeblah/watt-activation/117
ex:CodeRepository
typeblah/watt-activation/103
ex:GitHubRepository
typeblah/watt-activation/104
ex:SoftwareRepository
repositoryOwnerblah/watt-activation/103
ex:monumental-systems

References (4)

4 references
  1. customctx:discord/blah/watt-activation/117
    • full textwatt-activation-117
      text/plain2 KBdoc:agent/watt-activation-117/93da7c3e-762b-4710-96fb-cdcbffaa6ad1
      Show excerpt
      [2026-03-08 23:25] xenonfun: okay it still is using Adam finally pointed it at your optimizers: ``` ⏺ This is really interesting. There are 4 custom optimizers in harmonic-gpt/harmonic_gpt/optim/: 1. RotationalAdamW — Angular updates on
  2. customctx:discord/blah/watt-activation/103
    • full textwatt-activation-103
      text/plain3 KBdoc:agent/watt-activation-103/6d322edd-8b82-4859-be6f-bc7033a53fe1
      Show excerpt
      [2026-03-08 18:36] xenonfun: It appears your agents have actually already done all this work <@1211062099137265723> in your repo already. https://github.com/MonumentalSystems/harmonic-gpt/blob/master/docs/M3_DEPLOY_NOTES.md (files: Screens
  3. customctx:discord/blah/watt-activation/104
    • full textwatt-activation-104
      text/plain2 KBdoc:agent/watt-activation-104/ee94a1e4-1f64-4355-8ee9-9d1d018db9ca
      Show excerpt
      [2026-03-08 18:58] lisamegawatts: orward throughput: grouped1 peaks at 905K tok/s at T=1024 — nearly 5x faster than PyTorch MPS (186.9K at T=512) spectral peaks at 365K tok/s at T=2048 — 4x faster than PyTorch MPS (91K at T=512) Training t
  4. customctx:discord/blah/watt-activation/434
    • full textwatt-activation-434
      text/plain2 KBdoc:agent/watt-activation-434/ddc06865-c5ae-409c-bb5f-e56223a04acf
      Show excerpt
      [2026-03-20 06:51] xenonfun: asking about the The interesting part is Tier 4: Lohe-native FedSym. Block-diagonal fusion of oscillator groups + geodesic phase coupling growing cross-client connections + the complexity meter tracking which

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