Training from scratch gives verifiable control over model guardrails, argues dev
JosephJacks_ · x · 2026-09-07
- Ramin argues training models from scratch grants deep control over core competencies: e.g., for a cybersecurity-focused fast model, you can verifiably steer fundamental behavior during pre-training, enabling the strongest guardrail reliability in post-training.
- This is impossible with a third-party checkpoint of unknown pre-training data and initial conditions.
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