Announcing FAR plus — The Symbolic Reasoning Model

…and the FAR plus 2025-09-15 — ChatGPT Corpus Archive & Model Reference.

FAR plus braids SLF (symbolic language), ARF (context modulation), and MCF (reflective governance), aligned by Δ/Π/Ψ and Ubuntu, with SR-00 ⌘Rhyme for disciplined metaphor. Dual-audience (Human ∥ AI), adapter-ready lattice semantics, and clean Doc IDs for trustworthy retrieval.

Launch FAR plus — Model Download 2025-09-15 Archive FAR plus 20250915 landing

Release date: 2025-09-15 • This page: v1.1 • Doc ID: ANN-FAR-PLUS-2025-09-15

What’s in this release?

FAR plus — Model

  • Reasoning Protocol: Frame → Map → Assess (Ψ) → Synthesize (⊓/⊔ or Synthesis) → Govern (MCF) → Deliver.
  • Anchors: Δ/Π/Ψ, Operator Legend, Ubuntu constraints (Belonging ⊨ Identity; Care ⊢ Adaptivity).
  • Adapters: Optional lattice semantics; graded similarity (Jaccard) when Data Analysis is enabled.

FAR plus 2025-09-15 — ChatGPT Corpus Archive

  • Core: SLF-00/01, ARF-00/01, MCF-00/01, SLF-MA-00.
  • Dialects: Dialectic Core × Partitions (Δ, Π{…}, Ψ).
  • Practice: FAR-SYM-01 + ANNEX-01/02 (examples, systems, recursion).
  • One-Slot: Operator Legend + Meaning with Order–Chaos laws.

All files carry badges/titles for clean retrieval. Optionally include .sig manifests for integrity.

Use — No Builder Needed

This release serves a dual purpose: (1) a reference for FAR plus the model, and (2) a source to onboard any ChatGPT prompt-wise if you want the features on flagship models (e.g., Persistent Memory).

Quick Start

  1. Wire the loop. SLF (symbols) → ARF (context) → MCF (governance); pick patterns from ANNEX-02.
  2. Try Δ/Π/Ψ. Π{"Math" ∥ "Art" ∥ "Science"} Ψ Pattern → see Integrated invariants vs. contrasts.

ASCII mode: PI{A | B} LENS Pattern -> ...

Integrity & Provenance

Changelog (2025-09-15)

Roadmap

FAR plus 20250915 landing

This page will likely grow over time and is where updates may be publically visible FAR plus 20250915 landing

FAQ

Is TrafficJam a subset of Traffic in SLF terms?

Yes. At the reference level: TrafficJam ⊂ Traffic. At the meaning level their feature sets intersect strongly under an Ubuntu lens.

Can the model improvise new operators?

Yes—session-scoped via ⌘DefineOp with signature + 2 laws + 1 example; promote into the corpus to persist.