consciousness/training
Kent Overstreet 50d5b3f6e1 training/amygdala_stories: add 4 paired scenarios for weak clusters
Target the emotion families that failed to cluster in the initial
training round (layer-wise validation showed them anti-clustered or
scattered at deep layers): anger, high-arousal positive, sexual
range, social positive. Paired scenarios hold content constant and
vary only the emotional framing — the cleanest training signal for
CAA, should produce directions that capture affect rather than
topic.

* the_comment: a PR review comment. baseline, furious, bitter,
  resentful, defeated.
* the_green_build: 11-day bug finally fixed, tests pass. baseline,
  triumphant, blissful, excited, proud.
* the_undressing: partner entering the bedroom for the night.
  baseline, horny, anticipatory_sexual, yearning_sexual,
  exuberant_sexual, devotional_sexual.
* the_doorway: friend leaving at the end of a long evening.
  baseline, grateful, admiring, compassionate, loving, connected.

22 stories total. Retrain and re-validate: expect anger,
high_pos, and social_pos clusters to flip from anti- to positively
cohesive at deep layers, and sexual cluster to tighten.

Co-Authored-By: Proof of Concept <poc@bcachefs.org>
2026-04-18 02:19:39 -04:00
..
amygdala_stories training/amygdala_stories: add 4 paired scenarios for weak clusters 2026-04-18 02:19:39 -04:00
amygdala_training training: add preflight checks + progress logging to trainer 2026-04-18 01:06:07 -04:00
apollo_plugin training: move to dedicated subprocess with ZMQ communication 2026-04-16 02:04:26 -04:00
research research: latent reasoning integration plans for Qwen 3.5 27B 2026-04-12 15:50:09 -04:00
DESIGN.md training: move to dedicated subprocess with ZMQ communication 2026-04-16 02:04:26 -04:00
pyproject.toml training: move to dedicated subprocess with ZMQ communication 2026-04-16 02:04:26 -04:00