Dontopedia

generation

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

generation has 113 facts recorded in Dontopedia across 33 references, with 5 live disagreements.

113 facts·102 predicates·33 sources·5 in dispute

Mostly:has top k(3), uses prompt(3), uses(3)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (31)

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.

feedsIntoFeeds Into(2)

appliesToApplies to(1)

causesArrayAllocationOverheadCauses Array Allocation Overhead(1)

causesOutputTriadToSpecializeForCauses Output Triad to Specialize for(1)

consistsOfConsists of(1)

contributesToContributes to(1)

enablesEnables(1)

evaluatesPositivelyEvaluates Positively(1)

filtersAvatarsFilters Avatars(1)

followsFollows(1)

hasActionHas Action(1)

hasPartHas Part(1)

includesModuleIncludes Module(1)

initiatesGenerationInitiates Generation(1)

isOutputIs Output(1)

isPhenomenonOfIs Phenomenon of(1)

isUsedForIs Used for(1)

mixesInCodeMixes in Code(1)

monitorsMonitors(1)

monitorsProcessMonitors Process(1)

performsSpeechActOfPerforms Speech Act of(1)

precedesPrecedes(1)

probablyInsufficientProbably Insufficient(1)

recommendsRecommends(1)

requiresMetalForRequires Metal for(1)

respondsToResponds to(1)

runsRuns(1)

specializesForSpecializes for(1)

triggersTriggers(1)

usedByUsed by(1)

Other facts (112)

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.

112 facts
PredicateValueRef
Has Top K40[8]
Has Top K40[9]
Has Top K40[12]
Uses PromptPrompt the Theory of Quantum Mechanics Explains[12]
Uses PromptPrompt in the Beginning There Was[15]
Uses PromptThe universe is[21]
UsesCompiled Kv Cache[15]
Usesmax_length=512[31]
Usesinputs["input_ids"][31]
Rdf:typeProcess[28]
Rdf:typeProcess[30]
Rdf:typeModel Inference[33]
ProducesProto English[3]
ProducesOutputs[33]
Has Temperature0[8]
Has Temperature0.8[9]
Is Possible attemp=0.9[1]
Uses Symbolic ConstraintsSymbolic Constraints[2]
Evolves toReal Words[3]
Emerges Real Wordswar, The, his, are, port, by[3]
Uses Stop Token Ids{1} (or eos_id)[4]
Is for Philosophy Prompttrue[5]
Uses Temp0.8[5]
Uses Rep Penalty1.3[5]
Uses Top K50[5]
Treats All Variants Equallytrue[6]
Is Cleanerdocument-level[7]
Crosses Boundariesnull[7]
Generated Token Count100257[8]
Demonstrates High UncertaintyModel Undertraining[8]
Has Stop Sequence<|endoftext|>[8]
Has Prompt TextThe most important thing about machine learning is[9]
Uses ModelModel[9]
References FutureNext Year[9]
Produced byModel[9]
Demonstrates Low Qualitytrue[9]
Is Powerfultrue[9]
Diverges From Promptsharply[9]
Is DemonstrationModel[9]
Has Tokens Per Second44.3[9]
Has Stop Token Id100257[9]
Has Stop Token<|endoftext|>[9]
Has Generated Token Count300[9]
Has Generation Time Ms6766[9]
Has Prompt Token Count8[9]
Received PromptPrompt What Should I Feed My Doggie[10]
Retains No Difficulty Signal in Harmonicsnull[11]
Teleologically Tests InferenceLohe Spherical Model[12]
Generated Tok Count1500[12]
Has StopEos 1[12]
Prompt Time Ms16[12]
In Mode Rawtrue[12]
Prompt Tok Count10[12]
Is Compiledtrue[12]
Has Rep Penalty1.1[12]
Has Temp0.8[12]
Depends on Loaded CheckpointCheckpoints Bpe8k Lohe Spherical Best[12]
Gen Speed Tok Per S114.5[12]
Gen Time Ms13103[12]
Uses Repetition Penalty1.1[12]
RequiresStructured Coupling Progression[13]
Demands ProgressionStructured[13]
Teleologically Aimed atSemantically Conditioned Images[14]
Depends onCompiled Kv Cache[15]
Presupposes No Tokenizer Neededtrue[15]
Occurs at Speed137 B/s[15]
Now UsesIncremental Kv Cache[16]
Monitored forStability[17]
Demonstrated PossibilityCoherent Dialogue[18]
Achieved Tokens Per Second373[18]
Implies High QualityCoherent Dialogue[18]
Includes Coherent DialogueNamed Speakers[18]
Exhibits Coherencenull[18]
Embodies Model Capabilitynull[18]
Took Seconds2.75[18]
On CheckpointReal 25m Salon Checkpoint[18]
Shows Named Entitiesnull[18]
Produced Bytes1024[18]
Relies on SeedDeterministic[19]
Is HallucinatoryGarbled Text[20]
Exceeds Contexttrue[21]
Has Seed Bytes15[21]
Gen Time0.67s[21]
Generates Bytes256[21]
Prefill Time0.02s[21]
Produces Nonsensical Texttrue[21]
Rebuild Cadence32 steps[21]
Rebuilds Every32[21]
Throughput Tok S381.9[21]
Ctx Exceeded Seq Len256[21]
Uses Hex Dumptrue[21]
Uses Sliding Windowtrue[21]
Uses Temperature0.8[21]
Argmax Modefalse[21]
At Temperature0.7[22]
Generates512 bytes[22]
Produces GibberishContinuation[23]
Presupposes Model Trained on InstructTrue[24]
Demonstrates Current Model Capabilitynull[24]
Is Inherently Sequentialtrue[25]

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.

113 undated
—
isPossibleAtblah/random/part-29
temp=0.9
—
usesSymbolicConstraintsblah/vidya/part-6
ex:symbolic-constraints
—
producesblah/vidya/part-11
ex:proto-english
—
evolvesToblah/vidya/part-11
ex:real-words
—
emergesRealWordsblah/vidya/part-11
war, The, his, are, port, by
—
usesStopTokenIdsblah/watt-activation/part-26
{1} (or eos_id)
—
isForPhilosophyPromptblah/watt-activation/part-25
true
—
usesTempblah/watt-activation/part-25
0.8
—
usesRepPenaltyblah/watt-activation/part-25
1.3
—
usesTopKblah/watt-activation/part-25
50
—
treatsAllVariantsEquallyblah/watt-activation/part-101
true
—
isCleanerblah/watt-activation/part-129
document-level
—
crossesBoundariesblah/watt-activation/part-129
null
—
generatedTokenCountblah/watt-activation/part-130
100257
—
hasTopKblah/watt-activation/part-130
40
—
hasTemperatureblah/watt-activation/part-130
0
—
demonstratesHighUncertaintyblah/watt-activation/part-130
ex:model-undertraining
—
hasStopSequenceblah/watt-activation/part-130
<|endoftext|>
—
hasPromptTextblah/watt-activation/part-156
The most important thing about machine learning is
—
usesModelblah/watt-activation/part-156
ex:model
—
referencesFutureblah/watt-activation/part-156
ex:next-year
—
producedByblah/watt-activation/part-156
ex:model
—
demonstratesLowQualityblah/watt-activation/part-156
true
—
isPowerfulblah/watt-activation/part-156
true
—
divergesFromPromptblah/watt-activation/part-156
sharply
—
isDemonstrationblah/watt-activation/part-156
ex:model
—
hasTopKblah/watt-activation/part-156
40
—
hasTokensPerSecondblah/watt-activation/part-156
44.3
—
hasTemperatureblah/watt-activation/part-156
0.8
—
hasStopTokenIdblah/watt-activation/part-156
100257
—
hasStopTokenblah/watt-activation/part-156
<|endoftext|>
—
hasGeneratedTokenCountblah/watt-activation/part-156
300
—
hasGenerationTimeMsblah/watt-activation/part-156
6766
—
hasPromptTokenCountblah/watt-activation/part-156
8
—
receivedPromptblah/watt-activation/part-167
ex:prompt-what-should-i-feed-my-doggie
—
retainsNoDifficultySignalInHarmonicsblah/watt-activation/part-226
null
—
teleologicallyTestsInferenceblah/watt-activation/part-238
ex:lohe-spherical-model
—
generatedTokCountblah/watt-activation/part-238
1500
—
hasTopKblah/watt-activation/part-238
40
—
hasStopblah/watt-activation/part-238
ex:eos-1
—
promptTimeMsblah/watt-activation/part-238
16
—
inModeRawblah/watt-activation/part-238
true
—
promptTokCountblah/watt-activation/part-238
10
—
isCompiledblah/watt-activation/part-238
true
—
hasRepPenaltyblah/watt-activation/part-238
1.1
—
hasTempblah/watt-activation/part-238
0.8
—
dependsOnLoadedCheckpointblah/watt-activation/part-238
ex:checkpoints-bpe8k-lohe-spherical-best
—
genSpeedTokPerSblah/watt-activation/part-238
114.5
—
genTimeMsblah/watt-activation/part-238
13103
—
usesRepetitionPenaltyblah/watt-activation/part-238
1.1
—
usesPromptblah/watt-activation/part-238
ex:prompt-the-theory-of-quantum-mechanics-explains
—
requiresblah/watt-activation/part-259
ex:structured-coupling-progression
—
demandsProgressionblah/watt-activation/part-259
ex:structured
—
teleologicallyAimedAtblah/watt-activation/part-274
ex:semantically-conditioned-images
—
usesPromptblah/watt-activation/part-334
ex:prompt-in-the-beginning-there-was
—
dependsOnblah/watt-activation/part-334
ex:compiled-kv-cache
—
presupposesNoTokenizerNeededblah/watt-activation/part-334
true
—
usesblah/watt-activation/part-334
ex:compiled-kv-cache
—
occursAtSpeedblah/watt-activation/part-334
137 B/s
—
nowUsesblah/watt-activation/part-329
ex:incremental-kv-cache
—
monitoredForblah/watt-activation/part-360
ex:stability
—
demonstratedPossibilityblah/watt-activation/part-633
ex:coherent-dialogue
—
achievedTokensPerSecondblah/watt-activation/part-633
373
—
impliesHighQualityblah/watt-activation/part-633
ex:coherent-dialogue
—
includesCoherentDialogueblah/watt-activation/part-633
ex:named-speakers
—
exhibitsCoherenceblah/watt-activation/part-633
null
—
embodiesModelCapabilityblah/watt-activation/part-633
null
—
tookSecondsblah/watt-activation/part-633
2.75
—
onCheckpointblah/watt-activation/part-633
ex:real-25m-salon-checkpoint
—
showsNamedEntitiesblah/watt-activation/part-633
null
—
producedBytesblah/watt-activation/part-633
1024
—
reliesOnSeedblah/watt-activation/part-634
ex:deterministic
—
isHallucinatoryblah/watt-activation/part-630
ex:garbled-text
—
exceedsContextblah/watt-activation/part-645
true
—
hasSeedBytesblah/watt-activation/part-645
15
—
genTimeblah/watt-activation/part-645
0.67s
—
generatesBytesblah/watt-activation/part-645
256
—
prefillTimeblah/watt-activation/part-645
0.02s
—
producesNonsensicalTextblah/watt-activation/part-645
true
—
rebuildCadenceblah/watt-activation/part-645
32 steps
—
rebuildsEveryblah/watt-activation/part-645
32
—
throughputTokSblah/watt-activation/part-645
381.9
—
ctxExceededSeqLenblah/watt-activation/part-645
256
—
usesHexDumpblah/watt-activation/part-645
true
—
usesPromptblah/watt-activation/part-645
The universe is
—
usesSlidingWindowblah/watt-activation/part-645
true
—
usesTemperatureblah/watt-activation/part-645
0.8
—
argmaxModeblah/watt-activation/part-645
false
—
atTemperatureblah/watt-activation/part-680
0.7
—
generatesblah/watt-activation/part-680
512 bytes
—
producesGibberishblah/watt-activation/part-713
ex:continuation
—
presupposesModelTrainedOnInstructblah/watt-activation/part-168
ex:true
—
demonstratesCurrentModelCapabilityblah/watt-activation/part-168
null
—
isInherentlySequentialblah/watt-activation/part-302
true
—
limitedBySequentialNatureblah/watt-activation/part-302
ex:performance
—
isMeasurableUnitval-mauritius/wf2-04-la-famille-de-quelques-colons-de-l-ile-de-france-maurice-a
ex:genealogical-depth
—
constrainedByblah/vidya/6
ex:symbolic-constraints
—
typeblah/watt-activation/225
ex:Process
—
hasCharacteristicblah/watt-activation/300
inherently sequential
—
typeblah/watt-activation/358
ex:Process
—
labelblah/watt-activation/358
generation
—
usesbeam/8a3d9053-ab82-4206-8ea2-43c648648492
max_length=512
—
usesbeam/8a3d9053-ab82-4206-8ea2-43c648648492
inputs["input_ids"]
—
processbeam/eb869acc-2b0a-4006-98fb-a7f182c6bf42
token-IDs-to-token-IDs
—
typebeam/3affd7a8-7e04-4a36-b2ca-61a9bf87c290
ex:ModelInference
—
precedesbeam/3affd7a8-7e04-4a36-b2ca-61a9bf87c290
ex:decoding
—
followsbeam/3affd7a8-7e04-4a36-b2ca-61a9bf87c290
ex:tokenization
—
callsMethodbeam/3affd7a8-7e04-4a36-b2ca-61a9bf87c290
ex:model.generate
—
argumentbeam/3affd7a8-7e04-4a36-b2ca-61a9bf87c290
inputs
—
consumesbeam/3affd7a8-7e04-4a36-b2ca-61a9bf87c290
ex:inputs
—
producesbeam/3affd7a8-7e04-4a36-b2ca-61a9bf87c290
ex:outputs
—
usesKeywordUnpackingbeam/3affd7a8-7e04-4a36-b2ca-61a9bf87c290
true
—
returnsbeam/3affd7a8-7e04-4a36-b2ca-61a9bf87c290
ex:outputs

References (33)

33 references
  1. [1]Part 291 fact
    ctx:discord/blah/random/part-29
  2. [2]Part 61 fact
    ctx:discord/blah/vidya/part-6
  3. [3]Part 113 facts
    ctx:discord/blah/vidya/part-11
  4. [4]Part 261 fact
    ctx:discord/blah/watt-activation/part-26
  5. [5]Part 254 facts
    ctx:discord/blah/watt-activation/part-25
  6. [6]Part 1011 fact
    ctx:discord/blah/watt-activation/part-101
  7. [7]Part 1292 facts
    ctx:discord/blah/watt-activation/part-129
  8. [8]Part 1305 facts
    ctx:discord/blah/watt-activation/part-130
  9. [9]Part 15616 facts
    ctx:discord/blah/watt-activation/part-156
  10. [10]Part 1671 fact
    ctx:discord/blah/watt-activation/part-167
  11. [11]Part 2261 fact
    ctx:discord/blah/watt-activation/part-226
  12. [12]Part 23815 facts
    ctx:discord/blah/watt-activation/part-238
  13. [13]Part 2592 facts
    ctx:discord/blah/watt-activation/part-259
  14. [14]Part 2741 fact
    ctx:discord/blah/watt-activation/part-274
  15. [15]Part 3345 facts
    ctx:discord/blah/watt-activation/part-334
  16. [16]Part 3291 fact
    ctx:discord/blah/watt-activation/part-329
  17. [17]Part 3601 fact
    ctx:discord/blah/watt-activation/part-360
  18. [18]Part 63310 facts
    ctx:discord/blah/watt-activation/part-633
  19. [19]Part 6341 fact
    ctx:discord/blah/watt-activation/part-634
  20. [20]Part 6301 fact
    ctx:discord/blah/watt-activation/part-630
  21. [21]Part 64515 facts
    ctx:discord/blah/watt-activation/part-645
  22. [22]Part 6802 facts
    ctx:discord/blah/watt-activation/part-680
  23. [23]Part 7131 fact
    ctx:discord/blah/watt-activation/part-713
  24. [24]Part 1682 facts
    ctx:discord/blah/watt-activation/part-168
  25. [25]Part 3022 facts
    ctx:discord/blah/watt-activation/part-302
  26. [26]Wf2 04 LA Famille De Quelques Colons De L Ile De France Maurice a1 fact
    ctx:genes/val-mauritius/wf2-04-la-famille-de-quelques-colons-de-l-ile-de-france-maurice-a
  27. [27]61 fact
    ctx:discord/blah/vidya/6
    • full textvidya-6
      text/plain3 KBdoc:agent/vidya-6/cda90ecf-8302-448a-a889-53b5a677fef3
      Show excerpt
      [2026-02-21 10:36] rolandnsharp7643: >so what did we complete today. we added reinforcement learning. and changed the data set and what else …
  28. [28]2251 fact
    ctx:discord/blah/watt-activation/225
    • full textwatt-activation-225
      text/plain2 KBdoc:agent/watt-activation-225/9b15ed6a-4fd9-4458-9e17-1e0372b5a3e0
      Show excerpt
      [2026-03-11 05:15] xenonfun: ⏺ Ablation complete. The result is more interesting than "hub wins": blk acc lift note 0 0.575 +0.217 ← input (BEST) 4 0.567 +0.208 3 0.558 +0.200 7 0.550 +0.192 ... 9…
  29. [29]3001 fact
    ctx:discord/blah/watt-activation/300
    • full textwatt-activation-300
      text/plain3 KBdoc:agent/watt-activation-300/3b6edccf-3524-4608-838f-25890efaea15
      Show excerpt
      [2026-03-14 06:34] xenonfun: ``` 3. Manual attention (lines 110-128) — Hand-rolled softmax attention instead of using mx.fast.scaled_dot_product_attention. MLX's fused attention kernel is significantly faster for small sequence lengths. …
  30. [30]3582 facts
    ctx:discord/blah/watt-activation/358
    • full textwatt-activation-358
      text/plain2 KBdoc:agent/watt-activation-358/5e6372ad-404d-41bf-87ea-6453f5db1dc5
      Show excerpt
      [2026-03-17 17:23] xenonfun: This is a decisive result for the antenna branch. Updated conclusion: - For the antenna architecture in the tested regime, RotAdamW / strict sphere ∩ zero-mean manifold constraint is actively harmful. - Adam wi…
  31. [31]8a3d9053 Ab82 4206 8ea2 43c6486484922 facts
    ctx:claims/beam/8a3d9053-ab82-4206-8ea2-43c648648492
    • full textbeam-chunk
      text/plain1 KBdoc:beam/8a3d9053-ab82-4206-8ea2-43c648648492
      Show excerpt
      Your current implementation uses `np.argmax(outputs.logits)` which suggests you are treating the reformulation as a classification problem. However, query reformulation is often better handled as a sequence-to-sequence task. Instead of clas…
  32. [32]Eb869acc 2b0a 4006 98fb A7f182c6bf421 fact
    ctx:claims/beam/eb869acc-2b0a-4006-98fb-a7f182c6bf42
    • full textbeam-chunk
      text/plain1 KBdoc:beam/eb869acc-2b0a-4006-98fb-a7f182c6bf42
      Show excerpt
      reformulated_queries = [model.generate(tokenizer(f"reformulate: {q}", return_tensors="pt", max_length=512, truncation=True)['input_ids'], max_length=512)[0] for q in original_queries] reformulated_texts = [tokenizer.decode(output, skip_spec…
  33. [33]3affd7a8 7e04 4a36 B2ca 61a9bf87c2909 facts
    ctx:claims/beam/3affd7a8-7e04-4a36-b2ca-61a9bf87c290

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