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Harmonic Mlx Repo

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

Harmonic Mlx Repo has 9 facts recorded in Dontopedia across 3 references, with 1 live disagreement.

9 facts·7 predicates·3 sources·1 in dispute

Mostly:excludes feature(3), linked in chat(1), references ml inference framework(1)

Maturity scale raw canonical shape-checked rule-derived certified

Excludes Featurein disputeexcludesFeature

Linked in ChatlinkedInChat

References ML Inference FrameworkreferencesMlInferenceFramework

  • null[3]all time · Part 170

Has FeaturehasFeature

Has TitlehasTitle

  • HarmonicMLX — Harmonic attention layers native on Apple Silicon.[1]sourceall time · 105

Rdfs:labelrdfs:label

  • HarmonicMLX[1]sourceall time · 105

Rdf:typerdf:type

Inbound mentions (3)

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.

doesRepoCleanupDoes Repo Cleanup(1)

wereBadWere Bad(1)

worksInWorks in(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.

9 undated
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excludesFeatureblah/watt-activation/105
ex:complex-arithmetic
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excludesFeatureblah/watt-activation/105
ex:fft
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excludesFeatureblah/watt-activation/105
ex:padding
—
hasFeatureblah/watt-activation/105
ex:o-t-gated-linear-recurrence
—
hasTitleblah/watt-activation/105
HarmonicMLX — Harmonic attention layers native on Apple Silicon.
—
linkedInChatblah/watt-activation/part-260
ex:lohe-diffusion-findings-md
—
labelblah/watt-activation/105
HarmonicMLX
—
typeblah/watt-activation/105
ex:Repository
—
referencesMlInferenceFrameworkblah/watt-activation/part-170
null

References (3)

3 references
  1. [1]watt-activation-1057 facts
    customctx:discord/blah/watt-activation/105
    • full textwatt-activation-105
      text/plain3 KBdoc:agent/watt-activation-105/561920dc-7f65-4ab4-80fa-8e3162aa9046
      Show excerpt
      [2026-03-08 19:26] xenonfun: ``` What They're Leaving on the Table 1. No mx.compile — Their benchmark and model run eagerly. From our experience with AnchorKAN at similar scale, compiled step gives ~1.5-2x throughput improvement on M…
  2. [2]Part 2601 fact
    customctx:discord/blah/watt-activation/part-260
  3. [3]Part 1701 fact
    customctx:discord/blah/watt-activation/part-170

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