consciousness/training
ProofOfConcept 8061cc0477 research: steering vectors — prototype behavioral changes before training
The missing middle between ICL (temporary) and fine-tuning (permanent).
Extract behavioral directions from activation space, test immediately
without training, convert to permanent weight changes via Apollo.

Key application: extract 'listening' steering vector TODAY, test it
in vLLM, verify the direction is right BEFORE spending training
compute. The steering vector is the prototype; Apollo training is
production. Test before you commit.

Applicable immediately via vLLM inference hooks — behavioral
improvement without waiting for the full training pipeline.
2026-03-31 02:19:50 -04:00
..
checkpoint checkpoint: sync live weights back into model safetensors in-place 2026-03-30 22:55:23 -04:00
research research: steering vectors — prototype behavioral changes before training 2026-03-31 02:19:50 -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
first_training_step.py first_training_step.py: ready for Kent to run 2026-03-31 01:59:52 -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