3 commits

Author	SHA1	Message	Date
Snider	f65fd777ea	feat: convert composure library to training JSONL format ... Add cmd/composure-convert tool that chunks public domain philosophical texts into training conversation pairs: - consent.jsonl (198 examples) — Wollstonecraft's Vindication - privacy.jsonl (221 examples) — Thoreau's Walden - sovereignty.jsonl (56 examples) — Mill's On Liberty - transparency.jsonl (159 examples) — Aurelius' Meditations Each example pairs a domain-specific prompt with ~5 paragraphs from the source text. Metadata, chapter headings, and Gutenberg boilerplate are filtered out. Co-Authored-By: Virgil <virgil@lethean.io>	2026-02-21 23:59:06 +00:00
Snider	5d297daa35	feat: grammar scorer (v3) — deterministic uplift/sycophancy detection ... Add lem-scorer binary that imports go-i18n grammar reversal engine to score JSONL benchmark files. Measures conversational uplift (input vs output grammar imprint), echo (sycophancy), and enrichment. Key findings added to paper Section 8: - LEK-1B: 100% positive uplift, 0% sycophancy (base: 90%, 5%) - 1B-beats-27B holds in grammar space (79.12 > 77.12) - LEK training aligns two independent scorers (corr -0.11 → 0.64) - Delta analysis costs zero compute vs LLM-as-judge Co-Authored-By: Virgil <virgil@lethean.io>	2026-02-19 13:12:49 +00:00
Claude	774f097855	feat: scaffold LEM Desktop app (Wails v3 system tray + Docker stack) ... Inspired by BugSETI architecture — system tray with WebView2 windows, Docker Compose stack (Forgejo + InfluxDB + inference proxy), and scoring agent integration. Builds as signed native binary on macOS. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-15 17:43:19 +00:00