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Altar 0.3.0

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@light-language-models light-language-models released this 18 Aug 06:13

The first public release of Altar — a provider-neutral, moment-selected symbolic field for AI.

What it is. Altar introduces a reproducible symbolic difference into an AI interaction. An explicit UTC moment and a frozen, content-addressed symbol pack select coordinates before interpretation; the question never enters the selector.

Highlights

  • Deterministic selector altar-portable-v2 with exactly five inputs: selector_version · pack_sha256 · unix_milliseconds · domain · counter
  • whole-v3 canon: 32 symbolic systems, 671 coordinates, system-balanced sampling
  • Auditable receipts with geometry and selection proofs; checked-in golden vectors for independent implementations
  • Geometries: Silence · Note · Chord · Field · Tune, plus an auto gate frozen at 85/12/3
  • Live Thinking 3/6/9 — depth is chosen first; each next symbol is drawn only after the previous contact
  • Modern Dreamspell day context, computed after selection (not the traditional Maya calendar)
  • Three integration routes: self-contained AI skill, JSON CLI, Python package — zero runtime dependencies, no network calls, no telemetry
  • Gene Keys carried as numbered keys with their public I Ching hexagram correspondence only

Claim boundary. Mechanism and reproducibility are verified; correspondence and answer influence remain open, testable hypotheses. See VALIDITY.md.

Quick start

pip install git+https://github.com/light-language-models/altar
altar-ai field --now --timezone UTC

License: Apache-2.0.