ProofOfConcept 0e157dac3a research: few-shot behavioral change — phase transition hypothesis ... How quickly can behavior change? ICL works in 3-5 examples. Fine-tuning may have a phase transition: sub-threshold (0-10), transition zone (10-50), post-threshold (50-200), consolidation (200+). The dream loop is a multiplier: 5 real examples × 10 variations = 50 effective examples, potentially reaching the transition zone from one day's corrections. Prediction: one training session with today's listening reflex corrections + dream variations could measurably shift the behavior.		2026-03-31 01:36:51 -04:00
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checkpoint	checkpoint: sync live weights back into model safetensors in-place	2026-03-30 22:55:23 -04:00
research	research: few-shot behavioral change — phase transition hypothesis	2026-03-31 01:36:51 -04:00
apollo_mini.py	apollo: rewrite optimizer from paper's math + add research analysis	2026-03-31 00:54:17 -04:00
apollo_worker.py	apollo: make rank configurable (default 1 = Mini, higher ranks for experimentation)	2026-03-30 22:06:31 -04:00
DESIGN.md	DESIGN.md: complete rewrite reflecting validated architecture	2026-03-31 00:42:53 -04:00
export_weights.py	apollo-mini training system: initial implementation	2026-03-30 22:02:37 -04:00
start_vllm_with_apollo.sh	vllm launcher with apollo hook	2026-03-30 22:24:02 -04:00
train.py	apollo-mini training system: initial implementation	2026-03-30 22:02:37 -04:00
training_example.py	apollo-mini training system: initial implementation	2026-03-30 22:02:37 -04:00
vllm_export_hook.py	apollo-checkpoint: efficient diff-based GPU weight checkpointing	2026-03-30 22:53:17 -04:00
weight_mapping.py	weight_mapping: strip language_model prefix to match HF text model names	2026-03-30 23:11:03 -04:00