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.
Mostly:contains custom optimizer(4), rdf:type(3), rdfs:label(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedRdf:typein disputerdf:type
- Code Repository[1]all time · 117
- Git Hub Repository[2]all time · 103
- Software Repository[3]all time · 104
Contains Custom Optimizerin disputecontainsCustomOptimizer
- Kuramoto Optimizer[1]sourceall time · 117
- Kuramoto Rotational Adam W[1]sourceall time · 117
- Lohe Optimizer[1]sourceall time · 117
- Rotational Adam W[1]sourceall time · 117
Rdfs:labelrdfs:label
- harmonic-gpt[4]all time · 434
Has Directory PathhasDirectoryPath
- harmonic-gpt/harmonic_gpt/optim/[1]sourceall time · 117
Contains DocumentcontainsDocument
- M3 Deploy Notes[2]sourceall time · 103
Repository OwnerrepositoryOwner
- Monumental Systems[2]sourceall time · 103
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)
- File Count
ex:file-count
locatedInReposLocated in Repos(1)
- Lohe Native Fed Sym
ex:lohe-native-fed-sym
mightBeUsefulForMight Be Useful for(1)
- Numerical Stability Stuff
ex:numerical-stability-stuff
referencesReposReferences Repos(1)
- Lohe Native Fed Sym
ex:lohe-native-fed-sym
Timeline
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References (4)
- custom
ctx:discord/blah/watt-activation/117- full textwatt-activation-117text/plain2 KB
doc:agent/watt-activation-117/93da7c3e-762b-4710-96fb-cdcbffaa6ad1Show 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 …
- custom
ctx:discord/blah/watt-activation/103- full textwatt-activation-103text/plain3 KB
doc:agent/watt-activation-103/6d322edd-8b82-4859-be6f-bc7033a53fe1Show 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…
- custom
ctx:discord/blah/watt-activation/104- full textwatt-activation-104text/plain2 KB
doc:agent/watt-activation-104/ee94a1e4-1f64-4355-8ee9-9d1d018db9caShow 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…
- custom
ctx:discord/blah/watt-activation/434- full textwatt-activation-434text/plain2 KB
doc:agent/watt-activation-434/ddc06865-c5ae-409c-bb5f-e56223a04acfShow 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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