AI & ML interests
Independent research in language model adaptation, fine-tuning, distillation, and refusal-mechanism analysis, including abliteration. Particular interests include reproducible evaluation, interpretability, AI security, and practical experimentation with PyTorch.
Recent Activity
AI Gamma Research
AI Gamma Research is an independent research community focused on language model adaptation, interpretability and AI security. We study what changes when models are fine-tuned, distilled or modified, and how those changes can be measured reliably.
Research interests
- Model adaptation: fine-tuning and distillation, including how training affects task performance and model behavior.
- Refusal mechanisms and interpretability: studying interventions such as abliteration and their effects on capability, refusal and reliability.
- Reproducible evaluation: matched comparisons, traceable model lineage, and clear records of methods, failures and limitations.
- Practical research tools: experimentation with PyTorch and reusable workflows for training, evaluation and analysis.
Research in progress
This community is being established. Current model work consists of early experimental prototypes, with incomplete evaluation and known limitations. Planned releases will document their provenance, intended use, measured results and limitations. Research artifacts are intended for responsible academic use, subject to their individual licenses.
Participate
We welcome questions, replication attempts and constructive criticism from researchers and practitioners interested in model adaptation, interpretability and AI security.