Dontopedia

universal

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

universal has 45 facts recorded in Dontopedia across 4 references, with 3 live disagreements.

45 facts·36 predicates·4 sources·3 in dispute

Mostly:involves operations(5), has extra learnable vectors(2), rdf:type(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (1)

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.

activationCompetitorActivation Competitor(1)

Other facts (43)

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.

43 facts
PredicateValueRef
Involves OperationsMatmul[4]
Involves OperationsSilu[4]
Involves OperationsMul Gate[4]
Involves OperationsMul Skip[4]
Involves OperationsAdd[4]
Has Extra Learnable Vectors2[1]
Has Extra Learnable Vectors2[4]
Rdf:typeActivation Function[2]
Rdf:typeActivation Function[4]
Has Initial Configgate=1[4]
Has Initial Configskip=0[4]
Adapts Activation Shape Over Steps20[1]
Causes Lower Tok Per SecondSame Hardware[1]
Does Not Get Fastertrue[1]
Evaluated Positively for Loss Droptrue[1]
Ffn Forward Pass Sequencematmul → silu → mul(gate) → mul(skip) → add → matmul[1]
Has Fixed Tok Per Secondtrue[1]
Has Lower Tok Per SecondSimple Activations[1]
Has Op Count Per Ffn Forward Pass6[1]
Has Ops Multiplier Relative to Gelu2[1]
Improves Loss Per Computetrue[1]
Improves Loss Per Steptrue[1]
Known to Have Gate and Skip Paramstrue[1]
Learns Per Channel Blendstrue[1]
Optimizes Learnable Params Via Backproptrue[1]
Selected Despite Slower SpeedSymbio Fitness[1]
Starts AsSilu Activation[1]
Wins If Drops Loss Faster2× faster per step than gelu[1]
Learnable Param Count2[2]
Definitionf(x) = silu(x)*gate + x*skip[2]
Init Strategystarts as SiLU[2]
Learning Goalblend nonlinear + linear paths per channel[2]
Init Gate Value1[2]
Init Skip Value0[2]
Init Modepure SiLU[2]
Param Change During WarmupMinimal Movement[3]
State During WarmupFixed Starting Point[3]
Has Speed Over TimeFixed Speed[4]
Has Op Count6[4]
Has Learnable Vector Shape[1,ffnDim][4]
Has Learnable Paramsgate/skip[4]
Initializes AsSiLU[4]
Learns Featureper-channel blends[4]

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.

adaptsActivationShapeOverStepsblah/training-and-evals/part-28
20
causesLowerTokPerSecondblah/training-and-evals/part-28
ex:same-hardware
doesNotGetFasterblah/training-and-evals/part-28
true
evaluatedPositivelyForLossDropblah/training-and-evals/part-28
true
ffnForwardPassSequenceblah/training-and-evals/part-28
matmul → silu → mul(gate) → mul(skip) → add → matmul
hasExtraLearnableVectorsblah/training-and-evals/part-28
2
hasFixedTokPerSecondblah/training-and-evals/part-28
true
hasLowerTokPerSecondblah/training-and-evals/part-28
ex:simple-activations
hasOpCountPerFfnForwardPassblah/training-and-evals/part-28
6
hasOpsMultiplierRelativeToGelublah/training-and-evals/part-28
2
improvesLossPerComputeblah/training-and-evals/part-28
true
improvesLossPerStepblah/training-and-evals/part-28
true
knownToHaveGateAndSkipParamsblah/training-and-evals/part-28
true
learnsPerChannelBlendsblah/training-and-evals/part-28
true
optimizesLearnableParamsViaBackpropblah/training-and-evals/part-28
true
selectedDespiteSlowerSpeedblah/training-and-evals/part-28
ex:symbio-fitness
startsAsblah/training-and-evals/part-28
ex:silu-activation
winsIfDropsLossFasterblah/training-and-evals/part-28
2× faster per step than gelu
typeblah/training-and-evals/23
ex:ActivationFunction
labelblah/training-and-evals/23
universal
learnableParamCountblah/training-and-evals/23
2
definitionblah/training-and-evals/23
f(x) = silu(x)*gate + x*skip
initStrategyblah/training-and-evals/23
starts as SiLU
learningGoalblah/training-and-evals/23
blend nonlinear + linear paths per channel
initGateValueblah/training-and-evals/23
1
initSkipValueblah/training-and-evals/23
0
initModeblah/training-and-evals/23
pure SiLU
paramChangeDuringWarmupblah/training-and-evals/24
ex:minimal-movement
stateDuringWarmupblah/training-and-evals/24
ex:fixed-starting-point
labelblah/training-and-evals/28
universal activation
typeblah/training-and-evals/28
ex:ActivationFunction
hasSpeedOverTimeblah/training-and-evals/28
ex:fixed-speed
involvesOperationsblah/training-and-evals/28
ex:matmul
involvesOperationsblah/training-and-evals/28
ex:silu
involvesOperationsblah/training-and-evals/28
ex:mul-gate
involvesOperationsblah/training-and-evals/28
ex:mul-skip
involvesOperationsblah/training-and-evals/28
ex:add
hasOpCountblah/training-and-evals/28
6
hasExtraLearnableVectorsblah/training-and-evals/28
2
hasLearnableVectorShapeblah/training-and-evals/28
[1,ffnDim]
hasLearnableParamsblah/training-and-evals/28
gate/skip
initializesAsblah/training-and-evals/28
SiLU
hasInitialConfigblah/training-and-evals/28
gate=1
hasInitialConfigblah/training-and-evals/28
skip=0
learnsFeatureblah/training-and-evals/28
per-channel blends

References (4)

4 references
  1. [1]Part 2818 facts
    ctx:discord/blah/training-and-evals/part-28
  2. [2]239 facts
    ctx:discord/blah/training-and-evals/23
    • full texttraining-and-evals-23
      text/plain3 KBdoc:agent/training-and-evals-23/70bec41a-b6db-4999-9455-15d7176b4205
      Show excerpt
      [2026-02-25 14:27] omega [bot]: **Symbio Search Math Problem** Current run `super_chat_20260225140824_ee4k` has a config mismatch: ``` 50000 candidates × 3000 steps × 20 gens = 3,000,000,000 total search steps But only 50,000 total trainin
  3. [3]242 facts
    ctx:discord/blah/training-and-evals/24
    • full texttraining-and-evals-24
      text/plain2 KBdoc:agent/training-and-evals-24/b280a4e7-48a7-4bc2-9593-e4261e806744
      Show excerpt
      [2026-02-25 14:46] omega [bot]: **Selective Pressure — Three Mechanisms** **1. Evaluation Pressure** (per-candidate) Each candidate gets exactly 30 steps to prove itself. Records bestLoss, bestValLoss, fitnessScore. At 30 steps during warm
  4. [4]2816 facts
    ctx:discord/blah/training-and-evals/28
    • full texttraining-and-evals-28
      text/plain3 KBdoc:agent/training-and-evals-28/d5fb7857-3e3e-4219-8c84-377b4bfc1def
      Show excerpt
      [2026-02-25 15:46] omega [bot]: **When Do Universal & KAN Spline Get Faster?** Short answer: **they don't get faster.** Their tok/s is fixed by their op count. But here's the full picture. **Op count per FFN forward pass (per layer × 8 la

See also

Keep researching

Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.