Dontopedia

Faster Convergence

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

Faster Convergence has 7 facts recorded in Dontopedia across 4 references, with 1 live disagreement.

7 facts·6 predicates·4 sources·1 in dispute

Mostly:rdf:type(2), implies reduced training duration(1), has degree(1)

Maturity scale raw canonical shape-checked rule-derived certified

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.

expectedEffectExpected Effect(1)

hasConvergenceSpeedHas Convergence Speed(1)

hasPropertyHas Property(1)

Other facts (7)

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.

7 facts
PredicateValueRef
Rdf:typeOutcome[1]
Rdf:typeAttribute[3]
Implies Reduced Training Durationtrue[1]
Has DegreeLarge Degree[2]
Modifier Isdramatically[3]
Has Multiplier47[4]
Is Approximatetrue[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.

7 undated
—
typeblah/watt-activation/153
ex:Outcome
—
impliesReducedTrainingDurationblah/watt-activation/153
true
—
hasDegreeblah/watt-activation/182
ex:large-degree
—
typeblah/watt-activation/315
ex:Attribute
—
modifierIsblah/watt-activation/315
dramatically
—
hasMultiplierblah/watt-activation/335
47
—
isApproximateblah/watt-activation/335
true

References (4)

4 references
  1. [1]1532 facts
    ctx:discord/blah/watt-activation/153
    • full textwatt-activation-153
      text/plain3 KBdoc:agent/watt-activation-153/adeb3de4-7496-4fe9-a51b-b54f859c8ef4
      Show excerpt
      [2026-03-09 16:00] xenonfun: step 2100/16684 12.6% loss=6.0128 ppl= 408.6 lr=4.87e-05 668ms 12,271tok/s eta=162min step 2200/16684 13.2% loss=6.0229 ppl= 412.8 lr=4.85e-05 665ms 12,326tok/s eta=160min step 2300/16684 …
  2. [2]1821 fact
    ctx:discord/blah/watt-activation/182
    • full textwatt-activation-182
      text/plain2 KBdoc:agent/watt-activation-182/68d54e39-55f1-4bc9-a8b7-cf0fd9466f04
      Show excerpt
      [2026-03-10 01:54] xenonfun: smoketests before any other changes, see if they actually do things now. (files: Screenshot_2026-03-09_at_9.54.29_PM.png) [2026-03-10 01:56] xenonfun: and its doing proper vals this time [2026-03-10 01:57] lisam…
  3. [3]3152 facts
    ctx:discord/blah/watt-activation/315
    • full textwatt-activation-315
      text/plain2 KBdoc:agent/watt-activation-315/5f801374-2b73-4ce9-bd06-bdb14c70d743
      Show excerpt
      [2026-03-15 01:50] xenonfun: ``` ⏺ Attention Type Comparison (200 steps, d=768, 12L, 12H, compiled) ┌────────────────┬──────┬───────┬────────┬────────┬─────────┐ │ Attention │ Loss │ PPL │ Tok/s │ Params │ PPL/tok │ ├────────…
  4. [4]3352 facts
    ctx:discord/blah/watt-activation/335
    • full textwatt-activation-335
      text/plain2 KBdoc:agent/watt-activation-335/dd79a73c-09f4-4ca4-992c-61e51914a192
      Show excerpt
      [2026-03-15 14:31] xenonfun: ⏺ 8.40M params — essentially the same as the lohe_spherical run (8.45M). Same model size, same data shape, but lohe_complex + SEQ=256 reached ppl=6.1 in 855 steps vs 40,000 steps. That's a ~47× faster converg…

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