Raw AI models are a fundamental security risk.

This is not my usual dev.to content BUT sometimes you just have to share what excites you.

The lecture clearly separates Pre-training from Post-training — and this distinction is critical for enterprises.

Pre-training basically teaches the model to predict the next word based on massive, unfiltered internet data. It has zero understanding of corporate policies, data protection, compliance or ethics.

Real business value and safety only emerge in Post-training.

Especially through techniques like RLHF (Reinforcement Learning from Human Feedback). This is where guardrails, alignment, and security controls are built.