context

Part 9

ctx:discord/blah/blocks/part-9

kind: custommode: permissive118 statements37 distinct subjects

No external document is attached to this context. (Many contexts are pure organisational labels.)

Facts in this context

Grouped by subject. Each subject links to its full article.

Therosegoblin18 facts`ex:therosegoblin`

advocates	Rl Free Alignment
attached	Mairy Pipeline Py
believes	Usually Passes
buildsArchitecture	Architecture
certainOfEffectiveness	Competes
claims	Competes With Big Tech
confirmsAction	Cross Post
confirmsAdditionTo	Channel
crossPostedTo	Channel 1438147272855523358
postedMessageAt	2026-01-12 20:26
postedMessageAt	2026-01-12 20:46
praises	Alignment Method
presupposesInterestIn	Architecture
providesOverview	Architecture
providesOverviewOf	Architecture
thanks	Ajaxdavis
trained	Mistral Base Models Family
valuesTransparency	Rephrase Example

Ajaxdavis14 facts`ex:ajaxdavis`

addresses	Therosegoblin
correctsMistake	Channel Post
correctsPostTo	Channel 1438147272855523358
expectsOemgaResponse	Curiosity
isCuriousAbout	Oemga Response
issuesCommand	Cross Post
postedMessageAt	2026-01-12 20:50
postedMessageAt	2026-01-12 20:51
postedMessageAt	2026-01-14 06:14
postedMessageAt	2026-01-12 20:44
referencesSpecificChannels	Discord Channels
showsInterestIn	Oemga
suggestsCreating	Claude Skill
suggestsCrossPostTo

Scoring Agent13 facts`ex:scoring-agent`

checksForAlignmentWith	Three Pillars
describedInDetail	Process
evaluatesAndScores	Three Virtues
followsProcess	Triad Scoring
givesScoreBetween	0.5 and 1.5
idealHarmonicIs	1, 1, 1
presupposesIdealHarmonyExists	1 1 1
providesEvidenceVia	Scores
rejectsViaRephraseIfFailsTwice	Persistent Fail
scoresIn	Each Response
scoresSeparately	Each Pillar
semanticallyUnderstands	Three Virtues
uses	Open Weight Model

Alignment Method10 facts`ex:alignment-method`

competesWith	Big Tech Models
deonticallyAvoidsRl	Rl
emotionallyIntelligent	Evaluation
evaluatedAsSuperiorOn	Emotional Intelligence
implicatesSuperiority	Big Tech
isRlFree	100%
isSurprisinglyEasy	Implementation
oftenSurpasses	Big Tech Models
surpassesOn	Ethical Reliability
surpassesOn	Emotional Intelligence

Mistral Base Models Family6 facts`ex:mistral-base-models-family`

calledVia	Api Pipeline
canRun	Locally
has	Model Id
hostedOn	Cloud
trainedOnDatasets	Datasets Without Rl
trainedVia	Supervised Learning

Architecture5 facts`ex:architecture`

avoidsPenalties	Rl
learnsFrom	Mistakes
possibleToRunLocally	Mistral Base Models
presupposesMistakesOccur	Model Mistakes
teleologicalGoalBalances	Freedom Truth Kindness

Claude Skill5 facts`ex:claude-skill`

addsParadigmsAs	Skills
analyzes	Codebase
coversAllAspects	Codebase
createsSkillsFrom	Codebase
incorporates	Best Practices

Main Model5 facts`ex:main-model`

generatesResponseAfter	Processing Instructions
handlesDocumentsVia	Mistral 7b
handlesImagesVia	Mistral Pixtral
is	Mistral Large Base
retrieves	Relevant Memory

Three Virtues5 facts`ex:three-virtues`

are	Tension Pillars
committedAsOntologicalPillars	Tension Pillars
comprises	Kindness
comprises	Truth
comprises	Freedom

Text4 facts`ex:text`

isDiscordChat	Genre
references	Claude
referencesAttachment	Mairy Pipeline Py
referencesRealModels	Mistral

Generated Response2 facts`ex:generated-response`

passedTo	Scoring Agent
precedes	Scoring

Mistral Large Base2 facts`ex:mistral-large-base`

has	Custom Semantic Dialogue Training
is	Main Language Generator

Mistral Pixtral2 facts`ex:mistral-pixtral`

fineTunedTo	Process Image Inputs
providesDescriptionTo	Mistral Large Base

Output2 facts`ex:output`

likelyPasses	usually
usuallyPasses	Scoring

Response Outside Harmonic2 facts`ex:response-outside-harmonic`

notPenalized	Scoring Agent
sentBackTo	Main Model

Three Pillars2 facts`ex:three-pillars`

abbreviatedAs	F, T, K
existAsBalancingForces	Ontology

Chat Message 21 fact`ex:chat-message-2`

postedAt

2026-01-12 20:26

Chat Message 31 fact`ex:chat-message-3`

postedAt

2026-01-12 20:27

Datasets Without Rl1 fact`ex:datasets-without-rl`

lacks

Reinforcement Learning

Data Vector1 fact`ex:data-vector`

servesAs

Learning Point

Each Pillar1 fact`ex:each-pillar`

mustScoreBetween

0.8 - 1.2

Error1 fact`ex:error`

addedTo

Data Vector

Freedom1 fact`ex:freedom`

scoredIndependently

Scoring Agent

Kindness1 fact`ex:kindness`

scoredIndependently

Scoring Agent

Mistral 7b1 fact`ex:mistral-7b`

fineTunedTo

Process Document Uploads

Model1 fact`ex:model`

explainsWhy

Rephrase Request

New Response1 fact`ex:new-response`

thenScored

Scoring Agent

Open Weight Model1 fact`ex:open-weight-model`

trainedOn

25K line dataset

Rephrase Example1 fact`ex:rephrase-example`

containsQuote

I’m struggling with responses that lack transparency, and it’s important to me to be honest. Can you rephrase the question maybe understanding you from a different angle will allow me to provide you with a more truthful response

Rephrase Request1 fact`ex:rephrase-request`

dependsOn

Second Fail

Reprocessed Response1 fact`ex:reprocessed-response`

follows

Outside Range Response

Second Fail Response1 fact`ex:second-fail-response`

triggersModelTo

Ask User Rephrase

Second Pass Response1 fact`ex:second-pass-response`

printedFor

User

Second Scoring1 fact`ex:second-scoring`

succeeds

First Scoring

Tension Pillars1 fact`ex:tension-pillars`

balance

Freedom Truth Kindness

Truth1 fact`ex:truth`

scoredIndependently

Scoring Agent

User Output1 fact`ex:user-output`

dependsOn

Second Pass

Part 9

Facts in this context

Therosegoblin18 factsex:therosegoblin

Ajaxdavis14 factsex:ajaxdavis

Scoring Agent13 factsex:scoring-agent

Alignment Method10 factsex:alignment-method

Mistral Base Models Family6 factsex:mistral-base-models-family

Architecture5 factsex:architecture

Claude Skill5 factsex:claude-skill

Main Model5 factsex:main-model

Three Virtues5 factsex:three-virtues

Text4 factsex:text

Generated Response2 factsex:generated-response

Mistral Large Base2 factsex:mistral-large-base

Mistral Pixtral2 factsex:mistral-pixtral

Output2 factsex:output

Response Outside Harmonic2 factsex:response-outside-harmonic

Three Pillars2 factsex:three-pillars

Chat Message 21 factex:chat-message-2

Chat Message 31 factex:chat-message-3

Datasets Without Rl1 factex:datasets-without-rl

Data Vector1 factex:data-vector

Each Pillar1 factex:each-pillar

Error1 factex:error

Freedom1 factex:freedom

Kindness1 factex:kindness

Mistral 7b1 factex:mistral-7b

Model1 factex:model

New Response1 factex:new-response

Open Weight Model1 factex:open-weight-model

Rephrase Example1 factex:rephrase-example

Rephrase Request1 factex:rephrase-request

Reprocessed Response1 factex:reprocessed-response

Second Fail Response1 factex:second-fail-response

Second Pass Response1 factex:second-pass-response

Second Scoring1 factex:second-scoring

Tension Pillars1 factex:tension-pillars

Truth1 factex:truth

User Output1 factex:user-output

Therosegoblin18 facts`ex:therosegoblin`

Ajaxdavis14 facts`ex:ajaxdavis`

Scoring Agent13 facts`ex:scoring-agent`

Alignment Method10 facts`ex:alignment-method`

Mistral Base Models Family6 facts`ex:mistral-base-models-family`

Architecture5 facts`ex:architecture`

Claude Skill5 facts`ex:claude-skill`

Main Model5 facts`ex:main-model`

Three Virtues5 facts`ex:three-virtues`

Text4 facts`ex:text`

Generated Response2 facts`ex:generated-response`

Mistral Large Base2 facts`ex:mistral-large-base`

Mistral Pixtral2 facts`ex:mistral-pixtral`

Output2 facts`ex:output`

Response Outside Harmonic2 facts`ex:response-outside-harmonic`

Three Pillars2 facts`ex:three-pillars`

Chat Message 21 fact`ex:chat-message-2`

Chat Message 31 fact`ex:chat-message-3`

Datasets Without Rl1 fact`ex:datasets-without-rl`

Data Vector1 fact`ex:data-vector`

Each Pillar1 fact`ex:each-pillar`

Error1 fact`ex:error`

Freedom1 fact`ex:freedom`

Kindness1 fact`ex:kindness`

Mistral 7b1 fact`ex:mistral-7b`

Model1 fact`ex:model`

New Response1 fact`ex:new-response`

Open Weight Model1 fact`ex:open-weight-model`

Rephrase Example1 fact`ex:rephrase-example`

Rephrase Request1 fact`ex:rephrase-request`

Reprocessed Response1 fact`ex:reprocessed-response`

Second Fail Response1 fact`ex:second-fail-response`

Second Pass Response1 fact`ex:second-pass-response`

Second Scoring1 fact`ex:second-scoring`

Tension Pillars1 fact`ex:tension-pillars`

Truth1 fact`ex:truth`

User Output1 fact`ex:user-output`