NeRF-inspired technique for learning relational dynamics of language.
Not what words mean, but how they behave together — rhythm, pacing,
punctuation patterns, style transitions.
v1: positional field over text (baseline, memorises)
v2: masked feature prediction (relational, actually works)
Trained on Wodehouse "My Man Jeeves" (public domain, Gutenberg).
All 11 style features are highly relational — the field learns that
Wodehouse's style is a tightly coupled system.
Key finding: style interpolation between narrative and dialogue
produces sensible predictions for unmeasured features, suggesting
the continuous field captures real structural patterns.
Co-Authored-By: Virgil <virgil@lethean.io>
Move completed CLI migration design and plan to docs/plans/completed/
with a concise completion summary alongside the originals.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
11-task plan for migrating LEM from manual switch/flag.FlagSet
to core/go pkg/cli registry pattern with grouped commands.
Co-Authored-By: Virgil <virgil@lethean.io>
Replace manual switch/flag.FlagSet with cli.Main() + WithCommands().
6 command groups, 28 commands, full framework lifecycle.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
