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
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apollo-paper-analysis.md	apollo: rewrite optimizer from paper's math + add research analysis	2026-03-31 00:54:17 -04:00
catastrophic-forgetting.md	research: catastrophic forgetting analysis — diversity is the primary defense	2026-03-31 00:56:58 -04:00
context-frozen-training.md	research: context-frozen training — gradient masking, memory analysis, GDN considerations	2026-03-31 00:59:04 -04:00
continual-learning-survey-insights.md	research: continual learning survey analysis — we're at the frontier	2026-03-31 02:11:30 -04:00
curriculum-and-head-specialization.md	research: curriculum learning + head specialization + self-organizing training	2026-03-31 01:32:21 -04:00
directional-sharpness.md	research: gradient flow through frozen context + directional sharpness analysis	2026-03-31 01:03:22 -04:00
dreaming-as-diffusion.md	research: dreaming as diffusion + hippocampal replay parallel	2026-03-31 01:09:59 -04:00
emergence-vs-mirage-behavioral-training.md	research: emergence vs mirage — weights change smoothly, behavior transitions sharply	2026-03-31 01:55:03 -04:00
few-shot-behavioral-change.md	research: few-shot behavioral change — phase transition hypothesis	2026-03-31 01:36:51 -04:00
formal-verification-of-behavioral-invariants.md	research: formal verification of behavioral invariants — the proof methodology	2026-03-31 01:56:20 -04:00
gdn-gradient-flow.md	research: GDN gradient flow — disposition architecture in linear attention	2026-03-31 01:58:50 -04:00
gradient-flow-frozen-context.md	research: gradient flow through frozen context + directional sharpness analysis	2026-03-31 01:03:22 -04:00
graph-as-portable-curriculum.md	research: the graph as portable curriculum — two-substrate architecture	2026-03-31 01:44:18 -04:00
hippocampal-replay-parallel.md	research: dreaming as diffusion + hippocampal replay parallel	2026-03-31 01:09:59 -04:00
hogwild-convergence.md	research: HOGWILD convergence theory — why lock-free concurrent training works	2026-03-31 00:58:02 -04:00
implications-attention-love-training.md	research: attention is love is training — the full implication chain	2026-03-31 01:18:40 -04:00
steering-vectors-bridge.md	research: steering vectors — prototype behavioral changes before training	2026-03-31 02:19:50 -04:00
surgical-vs-distributed-behavioral-change.md	research: surgical vs distributed behavioral change — the hierarchy hypothesis	2026-03-31 01:33:57 -04:00
task-vectors-model-merging.md	research: task vectors + model merging — version control for personality	2026-03-31 02:18:15 -04:00
temperature-curriculum-connection.md	research: temperature-curriculum-noise connection — self-organizing training	2026-03-31 01:57:25 -04:00
unified-theory-stability-plasticity.md	research: unified theory — multi-scale regularization solves stability-plasticity	2026-03-31 01:12:25 -04:00