Dontopedia

Random Baseline

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

Random Baseline has 4 facts recorded in Dontopedia across 3 references.

4 facts·4 predicates·3 sources

Mostly:represents no learning(1), has byte prediction accuracy(1), has accuracy(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (4)

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.

establishesBaselineLossEstablishes Baseline Loss(1)

improvesFromImproves From(1)

isWorseThanIs Worse Than(1)

performanceComparedToRandomPerformance Compared to Random(1)

Other facts (4)

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.

4 facts
PredicateValueRef
Represents No LearningUnigram[1]
Has Byte Prediction Accuracy0.004[2]
Has Accuracy0.4[3]
Applies to Taskbyte prediction[3]

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.

4 undated
—
representsNoLearningblah/watt-activation/part-119
ex:unigram
—
hasBytePredictionAccuracyblah/watt-activation/part-606
0.004
—
hasAccuracyblah/watt-activation/603
0.4
—
appliesToTaskblah/watt-activation/603
byte prediction

References (3)

3 references
  1. [1]Part 1191 fact
    ctx:discord/blah/watt-activation/part-119
  2. [2]Part 6061 fact
    ctx:discord/blah/watt-activation/part-606
  3. [3]6032 facts
    ctx:discord/blah/watt-activation/603
    • full textwatt-activation-603
      text/plain3 KBdoc:agent/watt-activation-603/7aa9fa83-a058-43b0-b700-073a69d3e610
      Show excerpt
      [2026-04-10 04:25] xenonfun: ``` ⏺ Now we have real eval results on the trained models. Key observations: Results Summary (10K steps, 50% curriculum, trained model eval) ┌─────────────────┬────────────┬───────────────┬────────────────…

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