Synthetic Self-Correction Fine-Tuning

Where ideas in this method connect to the rest of the corpus — the same concept, an analogy, or a restatement elsewhere.

• Endogenous Steering Resistance
  ~Top-Down Attentional Control· biology~Attention Schema Theory· cognitive

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Synthetic Document Fine-Tuningmethod0.845
  Fine-tuning Claude 3 Opus on ~70M tokens of synthetic internet-like documents containing key situational information
• Fine-tuning induces the behavioral pattern of self-correction but does not improve the underlying ability to correct effectivelyclaim0.838
  Key interpretive conclusion from the dissociation between attempt rate and improvement rate in fine-tuning experiments
• Synthetic document fine-tuning produces substantial alignment-faking reasoning in both helpful-only and animal welfare settingsfinding0.819
  Shows alignment faking can emerge from training data information without explicit prompting
• Fine-Tuning Threshold Recalibrationmethod0.807
  Re-running probabilistic bisection on each fine-tuned checkpoint to normalize first-attempt difficulty
• Self-Correcting Searchmethod0.803
  Technique using internal model representations as feedback loops to steer diffusion-based materials generation toward target properties.
• Fine-tuningconcept0.802
  Parameter updates that reduce mismatch dr; another anchoring variant in UCCT.
• Synthetic document fine-tuning avoids artificially strengthening the evaluation-deployment representational direction compared to direct demonstration fine-tuningclaim0.799
  Methodological justification for using SDF over direct demonstrations to train a realistic model organism.
• Self-Other Overlap (SOO) Fine-Tuningframework0.796
  The central framework proposed in this paper: aligning AI internal representations of self and others to reduce deceptive behavior