WireLM
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
WireLM has 31 facts recorded in Dontopedia across 9 references, with 2 live disagreements.
Mostly:rdf:type(5), uses encoding(2), uses mechanism(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (12)
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.
appliesToApplies to(1)
- Dyn H4 Fix
ex:dyn-h4-fix
asksAboutAsks About(1)
- Xenonfun
ex:xenonfun
doesNotTransferToDoes Not Transfer to(1)
- Rotor Dynamics
ex:rotor-dynamics
handlesHandles(1)
- Harmonicmlx Trainer Py
ex:harmonicmlx-trainer-py
hasFundamentallyDifferentBlockStructureThanHas Fundamentally Different Block Structure Than(1)
- Resonantwirelm
ex:resonantwirelm
isFfnInIs Ffn in(1)
- Lohesphericalffnv3
ex:lohesphericalffnv3
isHandledLikeIs Handled Like(1)
- Resonantwirelm Integration
ex:resonantwirelm-integration
isPartOfIs Part of(1)
- Loheshpericalffnv3
ex:loheshpericalffnv3
potentiallyImprovesBpbPotentially Improves Bpb(1)
- Dyn H4 Fix 1
ex:dyn-h4-fix-1
targetsWireLMTargets Wire Lm(1)
- Training Run
ex:training-run
transferableToTransferable to(1)
- Rotor Dynamics
ex:rotor-dynamics
transfersToTransfers to(1)
- Symmetric Decoder
ex:symmetric-decoder
Other facts (27)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Software System | [5] |
| Rdf:type | Model | [6] |
| Rdf:type | Model Architecture | [7] |
| Rdf:type | Model | [8] |
| Rdf:type | Model Architecture | [9] |
| Uses Encoding | Ofdm Encoding | [3] |
| Uses Encoding | Ofdm Encoding | [7] |
| Uses Mechanism | Gated Cumsum Monoid | [7] |
| Uses Mechanism | Cumsum Based Attention | [7] |
| Receives Compiled Generation | Compiled Generation | [1] |
| Wired Into | Harmonicmlx Trainer Py | [2] |
| Integrates Into Trainer | Harmonicmlx Trainer Py | [2] |
| Is Compatible With | Lohe V3 Style | [3] |
| Uses Attention | Cumsum Based Attention | [3] |
| Achieves Speed | O(1)/token | [4] |
| Uses Cache Type | Attention step() states | [4] |
| Uses Generation Method | Token-by-token | [4] |
| Param Count | 8500000 | [6] |
| Uses Parameter | Gamma Parameter | [7] |
| Gate Characteristic | Fixed Gate | [7] |
| Could Have Feature | Input Dependent Gates | [7] |
| Decoder Type | Symmetric Decoder | [7] |
| Currently Uses Layer | Linear D Model 256 | [7] |
| Total Parameter Count | 8500000 | [7] |
| Proposed Change | Replace Lohe Complex Split Attention With Rotor Blocks | [7] |
| Uses Attention Type | Lohe Complex Split | [9] |
| Uses Ffn Type | Lohe V3 | [9] |
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.
References (9)
ctx:discord/blah/watt-activation/part-331ctx:discord/blah/watt-activation/part-329ctx:discord/blah/watt-activation/part-405ctx:discord/blah/watt-activation/part-486ctx:discord/blah/watt-activation/329- full textwatt-activation-329text/plain2 KB
doc:agent/watt-activation-329/9423e8b2-3f97-4dd5-9105-db324a8b0017Show excerpt
[2026-03-15 05:09] xenonfun: training now compiled: ⏺ Solo GPU numbers: ``` ┌────────────┬─────────┬────────┐ │ │ ms/step │ tok/s │ ├────────────┼─────────┼────────┤ │ Compiled │ 45.3 │ 90,380 │ ├────────────┼────…
ctx:discord/blah/watt-activation/386- full textwatt-activation-386text/plain2 KB
doc:agent/watt-activation-386/56c807c0-0221-454e-97c5-567cf059cb84Show excerpt
[2026-03-19 02:19] xenonfun: ``` ⏺ Sweep running — 7 configs sequential, no contention. ~15-20 min total. Configs: ┌─────┬───────────────┬────────┬──────────┬─────────┬───────────┬─────────────┐ │ # │ Config │ Params │ Dynamic…
ctx:discord/blah/watt-activation/403- full textwatt-activation-403text/plain2 KB
doc:agent/watt-activation-403/d55f91e3-d6ae-47d0-a701-fcf659140c12Show excerpt
[2026-03-19 05:31] xenonfun: ❯ is any of this applicable to WireLM lohe_v3 style stuff? ``` ⏺ Yes — the decay gates specifically. The gated cumsum monoid (g, v) ⊗ (g', v') = (g·g', g'·v + v') is exactly what _gated_cumsum already does in at…
ctx:discord/blah/watt-activation/422- full textwatt-activation-422text/plain3 KB
doc:agent/watt-activation-422/a495a8d5-2cf4-41be-a842-8a6160f7c013Show excerpt
[2026-03-20 01:24] xenonfun: Flaw 4: Optimizer micromanaging — INTENTIONALLY ADDRESSED (different fix) This one is nuanced. CLAUDE.md says: "Coupling gradient updates REMOVED: K and log_adjacency are structural constants, not learned." T…
ctx:discord/blah/watt-activation/423- full textwatt-activation-423text/plain2 KB
doc:agent/watt-activation-423/8045fe79-be14-40ef-8627-1f24b38b2ba2Show excerpt
[2026-03-20 01:28] xenonfun: ``` ⏺ OK, so for H≠4 it dispatches to _spectral_lohe_sync in attention.py (line 162), and for H=4 it uses quaternion_lohe_sync. Our entity run uses H=2, so it wouldn't even hit the Lohe FFN path — ResonantWir…
See also
- Compiled Generation
- Harmonicmlx Trainer Py
- Lohe V3 Style
- Ofdm Encoding
- Cumsum Based Attention
- Software System
- Model
- Model Architecture
- Gated Cumsum Monoid
- Gamma Parameter
- Fixed Gate
- Input Dependent Gates
- Symmetric Decoder
- Linear D Model 256
- Replace Lohe Complex Split Attention With Rotor Blocks
- Lohe Complex Split
- Lohe V3
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