Dontopedia

semantic-alignment project

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

semantic-alignment project has 38 facts recorded in Dontopedia across 6 references, with 4 live disagreements.

38 facts·33 predicates·6 sources·4 in dispute

Mostly:achieves through(2), instills values into(2), has value(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (11)

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.

partOfPart of(4)

benefitsProjectBenefits Project(1)

describeDescribe(1)

describedProjectAsDescribed Project As(1)

forProjectFor Project(1)

isBeneficialIs Beneficial(1)

isDevelopingIs Developing(1)

summarizedUserProjectSummarized User Project(1)

Other facts (37)

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.

37 facts
PredicateValueRef
Achieves ThroughDataset Design[4]
Achieves ThroughTraining Practices[4]
Instills Values IntoModel Behaviors[4]
Instills Values IntoModel Representations[4]
Has Valuetruth[6]
Has Valuekindness[6]
Prioritizescareful testing[6]
Prioritizesmitigation of harms[6]
Involves Architecturenull[1]
Presupposes Content on AlignmentSemantic Humane Alignment[2]
Involves CollaborationCollaboration[3]
Existstrue[3]
Involves Data TrackingData Tracking[3]
Commits to AxiologyHumane Values[4]
EmbedsSemantic Humane Values[4]
Fine TunesMistral Pretrained Base Models[4]
Has Core IntentInstill Semantic Humane Values[4]
Advocates Humane ValuesSemantic Humane Values[4]
AvoidsReward Hacking[4]
Avoids UsingRlhf[4]
Presupposes Ethical NecessityHarm Mitigation[4]
Prioritizes OverReward Hacking[4]
References Known TechniqueRlhf[4]
UsesCurated Custom Dialogue Datasets[4]
Uses Instead ofReward Optimization Techniques[4]
Rdf:typeProject[5]
Uses Techniquefine-tuning[6]
Uses ModelMistral Model[6]
Uses Dataset Typecurated custom dialogue datasets[6]
Avoids TechniqueRlhf[6]
Has Goalinstill semantic, humane values[6]
Approach Descriptiondataset design and training practices rather than reward hacking[6]
Emphasizessemantic supervision[6]
Has Development Styleiterative and cautious development[6]
Includes Safety Measureethical safety measures[6]
Values Principletransparency[6]
Has Alignmenthuman-centered principles[6]

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.

involvesArchitectureblah/omega/part-833
null
presupposesContentOnAlignmentblah/omega/part-835
ex:semantic-humane-alignment
involvesCollaborationblah/omega/part-840
ex:collaboration
existsblah/omega/part-840
true
involvesDataTrackingblah/omega/part-840
ex:data-tracking
commitsToAxiologyblah/omega/part-839
ex:humane-values
embedsblah/omega/part-839
ex:semantic-humane-values
fineTunesblah/omega/part-839
ex:mistral-pretrained-base-models
hasCoreIntentblah/omega/part-839
ex:instill-semantic-humane-values
achievesThroughblah/omega/part-839
ex:dataset-design
achievesThroughblah/omega/part-839
ex:training-practices
advocatesHumaneValuesblah/omega/part-839
ex:semantic-humane-values
avoidsblah/omega/part-839
ex:reward-hacking
avoidsUsingblah/omega/part-839
ex:rlhf
instillsValuesIntoblah/omega/part-839
ex:model-behaviors
instillsValuesIntoblah/omega/part-839
ex:model-representations
presupposesEthicalNecessityblah/omega/part-839
ex:harm-mitigation
prioritizesOverblah/omega/part-839
ex:reward-hacking
referencesKnownTechniqueblah/omega/part-839
ex:rlhf
usesblah/omega/part-839
ex:curated-custom-dialogue-datasets
usesInsteadOfblah/omega/part-839
ex:reward-optimization-techniques
typeblah/omega/827
ex:Project
labelblah/omega/833
semantic-alignment project
usesTechniqueblah/omega/833
fine-tuning
usesModelblah/omega/833
ex:mistral-model
usesDatasetTypeblah/omega/833
curated custom dialogue datasets
avoidsTechniqueblah/omega/833
ex:rlhf
hasGoalblah/omega/833
instill semantic, humane values
hasValueblah/omega/833
truth
hasValueblah/omega/833
kindness
approachDescriptionblah/omega/833
dataset design and training practices rather than reward hacking
emphasizesblah/omega/833
semantic supervision
hasDevelopmentStyleblah/omega/833
iterative and cautious development
includesSafetyMeasureblah/omega/833
ethical safety measures
valuesPrincipleblah/omega/833
transparency
prioritizesblah/omega/833
careful testing
prioritizesblah/omega/833
mitigation of harms
hasAlignmentblah/omega/833
human-centered principles

References (6)

6 references
  1. [1]Part 8331 fact
    ctx:discord/blah/omega/part-833
  2. [2]Part 8351 fact
    ctx:discord/blah/omega/part-835
  3. [3]Part 8403 facts
    ctx:discord/blah/omega/part-840
  4. [4]Part 83916 facts
    ctx:discord/blah/omega/part-839
  5. [5]8271 fact
    ctx:discord/blah/omega/827
    • full textomega-827
      text/plain3 KBdoc:agent/omega-827/62696670-8937-4f01-813c-19bc09a6cb32
      Show excerpt
      [2026-01-11 06:13] omega [bot]: 🔧 3/3: fileUpload ✅ Success **Args:** ```json { "fileUrl": "https://cdn.discordapp.com/attachments/1438147272855523358/1459792122780848193/SEE_Blueprint_v1.2_Milkdromeda_Canonized.md?ex=696490db&is=69633f5b
  6. [6]83316 facts
    ctx:discord/blah/omega/833
    • full textomega-833
      text/plain3 KBdoc:agent/omega-833/7d794d4f-d4b2-48de-a387-fa455d421bb3
      Show excerpt
      [2026-01-11 06:23] omega [bot]: ```json "result": "The user's messages describe a semantic-alignment project that fine-tunes Mistral pre-trained base models with curated custom dialogue datasets rather than RLHF; the core intent is to ins

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