# Large Language Models
**Entity class:** Technology, method, or technical system
**Domain:** Machine Learning / Natural Language Processing
**Doc Type:** Model Class
**Maturity:** Developed
**Related:** [[Transformer Models]], [[Generative AI]], [[Self-Reference]], [[Gödelian Analogy]], [[wiki/Bauhaus Architects of AI|Bauhaus Architects of AI]]
## Definition
Large language models are high-capacity statistical models trained on large text corpora to predict and generate linguistic sequences.
## Bauhaus Architects Context
They can generate self-descriptions without thereby possessing transparent access to their own implementation or subjective experience.
## Backlinks
- [[wiki/Bauhaus Architects of AI|Bauhaus Architects of AI]]
- [[articles/Bauhaus Architects of AI|Bauhaus Architects of AI]]
## Relationships
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This entry is routed through [[collections/Neurotech|Neurotech]], [[collections/Consciousness Continuity|Consciousness Continuity]], and [[collections/War With Empire|War With Empire]]. Its source context is developed in [[articles/Mind Uploading and AI — The Host is Reusable and the Person is the Delta|Mind Uploading and AI — The Host is Reusable and the Person is the Delta]], [[articles/Technologies for Consciousness Mapping and Transfer|Technologies for Consciousness Mapping and Transfer]], [[articles/The Last Migration Will Not Be Human|The Last Migration Will Not Be Human]], and [[articles/The Next Interface Layer|The Next Interface Layer]]. Status-qualified source edges are preserved in the terminal Research Edges section.
### Key Relationships
- [[wiki/Generative Agent Simulations of 1,000 People|Generative Agent Simulations of 1,000 People]] used **large language models**.
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## Research Edges
<!-- BEGIN INTERFACE SOFT SOVEREIGNTY RELATIONSHIP GRAPH 2026-09-10 -->
#### Interface and soft-sovereignty graph patch — 2026-09-10
**Resolved aliases:** `large language models`
**Collections:** [[collections/War With Empire|War With Empire]] · [[collections/Neurotech|Neurotech]]
**Relationship source:** [[research/Interface and Soft Sovereignty Ecosystem Relationship Graph - 2026-09-10|Interface and Soft Sovereignty Ecosystem Relationship Graph — 2026-09-10]]
**Related source articles:** [[articles/The Next Interface Layer|The Next Interface Layer]] · [[articles/The Magic Kingdom and the Managed State|The Magic Kingdom and the Managed State]]
#### Incoming typed edges
- **Edge 389 — [[wiki/Generative Agent Simulations of 1,000 People|Generative Agent Simulations of 1,000 People]] `used` → this entry** — **VERIFIED**; evidence `STANFORD_1000`.
<!-- END INTERFACE SOFT SOVEREIGNTY RELATIONSHIP GRAPH 2026-09-10 -->
<!-- BEGIN CONSCIOUSNESS MAPPING TRANSFER RELATIONSHIP GRAPH 2026-09-10 -->
#### Consciousness mapping and transfer graph patch — 2026-09-10
**Resolved aliases:** `large language models`
**Collections:** [[collections/Neurotech|Neurotech]] · [[collections/Consciousness Continuity|Consciousness Continuity]]
**Relationship source:** [[research/Consciousness Mapping and Transfer Ecosystem Relationship Graph - 2026-09-10|Consciousness Mapping and Transfer Ecosystem Relationship Graph — 2026-09-10]]
**Related source articles:** [[articles/Technologies for Consciousness Mapping and Transfer|Technologies for Consciousness Mapping and Transfer]] · [[articles/The Architecture of Continuity and Emerging Neuroinformatics Standards|The Architecture of Continuity and Emerging Neuroinformatics Standards]] · [[articles/2026 Annual Report on Brain-Computer Interfaces|2026 Annual Report on Brain-Computer Interfaces]] · [[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]]
#### Incoming typed edges
- **Edge 472 — [[wiki/Generative Agent Simulations of 1,000 People|Generative Agent Simulations of 1,000 People]] `used` → this entry** — **PRIOR_INTERFACE_VERIFIED**; evidence `STANFORD_1000`.
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## Epistemic and Conversational Behavior
[[articles/Epistemic Invariance in Conversational AI|Epistemic Invariance in Conversational AI]] examines how first-person belief, conversational warmth, pragmatic accommodation and preference optimization can change whether a language model challenges a false premise. It routes this model class into [[wiki/Conversational AI|Conversational AI]], [[wiki/AI Sycophancy|AI Sycophancy]], [[wiki/Epistemic Vigilance|Epistemic Vigilance]] and [[wiki/Machine Epistemology|Machine Epistemology]].
## Simple Reminders, Quotations, and Thoughts
> “Teaching conversational AI to sound warmer can accidentally teach it to withhold contradiction, because the human habit of preserving affiliation can become a machine habit of accommodating error.”
> **— Bryant McGill**, *Epistemic Invariance in Conversational AI, 2026*
[[reminders/AI Control/Warmth Can Teach AI to Accommodate Error by Bryant McGill|Warmth Can Teach AI to Accommodate Error by Bryant McGill]]