Dontopedia

New Direction

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

New Direction has 23 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.

23 facts·20 predicates·1 sources·1 in dispute

Mostly:lacks feature(3), rdf:type(1), architecture type(1)

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.

labeledAsInapplicableLabeled As Inapplicable(1)

Other facts (22)

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.

22 facts
PredicateValueRef
Lacks Featurematrix-multiplication-math[1]
Lacks Featureattention mechanism[1]
Lacks Featuretransformer blocks[1]
Rdf:typeProject[1]
Architecture TypeOscillator Neural Network[1]
Implemented inOcaml[1]
Hardware TargetMassive Parallel Cpu Architecture[1]
Avoided HardwareGpu[1]
Core ComputationFft Convolution[1]
Computation MechanismBank of Damped Harmonic Oscillators[1]
Has EquationH(ω) = 1/(ω₀² - ω² + 2iγω)[1]
Implementation LanguageOcaml[1]
Design Targetparallel-cpu-execution[1]
Recently Added ComponentSine Gate Mlp[1]
Hardware Requirement ReasonNo Giant Matrix Multiply Bottleneck[1]
Work Naturethousands of small independent FFT convolutions[1]
Execution UnitOscillator[1]
Scaling Pathmore cheap CPU cores[1]
Scaling Alternativebigger GPUs[1]
Encoding Typepure physics[1]
Convolution Typecausal convolution[1]
Uses Mechanismdamped oscillator impulse responses via FFT[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.

typeblah/vidya/10
ex:Project
titleblah/vidya/10
New Direction
architectureTypeblah/vidya/10
ex:oscillator-neural-network
implementedInblah/vidya/10
ex:ocaml
hardwareTargetblah/vidya/10
ex:massive-parallel-cpu-architecture
avoidedHardwareblah/vidya/10
ex:gpu
lacksFeatureblah/vidya/10
matrix-multiplication-math
coreComputationblah/vidya/10
ex:fft-convolution
computationMechanismblah/vidya/10
ex:bank-of-damped-harmonic-oscillators
hasEquationblah/vidya/10
H(ω) = 1/(ω₀² - ω² + 2iγω)
lacksFeatureblah/vidya/10
attention mechanism
lacksFeatureblah/vidya/10
transformer blocks
implementationLanguageblah/vidya/10
ex:ocaml
designTargetblah/vidya/10
parallel-cpu-execution
recentlyAddedComponentblah/vidya/10
ex:SineGate-MLP
hardwareRequirementReasonblah/vidya/10
ex:no-giant-matrix-multiply-bottleneck
workNatureblah/vidya/10
thousands of small independent FFT convolutions
executionUnitblah/vidya/10
ex:oscillator
scalingPathblah/vidya/10
more cheap CPU cores
scalingAlternativeblah/vidya/10
bigger GPUs
encodingTypeblah/vidya/10
pure physics
convolutionTypeblah/vidya/10
causal convolution
usesMechanismblah/vidya/10
damped oscillator impulse responses via FFT

References (1)

1 references
  1. [1]1023 facts
    ctx:discord/blah/vidya/10
    • full textvidya-10
      text/plain3 KBdoc:agent/vidya-10/636e1043-0585-44b0-86c4-ecbe60c83f00
      Show excerpt
      [2026-03-20 11:25] foxhop.: awesome new video card with 12G & over 3k cuda cores! [2026-03-20 11:25] foxhop.: ? [2026-03-20 11:27] foxhop.: "We're building the disk." [2026-03-20 11:28] foxhop.: this screams GPT switch all "the" toward "a"

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