AI Alignment Through First Principles

This Deepseek blog post argues that solving the AI alignment problem requires a "first principles" approach. The author advocates for breaking down the problem into core components—human values, intent recognition, goal stability, value learning, and safety—and then rebuilding solutions from these fundamental truths. The post proposes specific solutions rooted in adaptive systems, interactive learning, and transparent designs. It acknowledges challenges like scalability and loophole exploitation, while referencing existing methods like RLHF and Constitutional AI as partial steps toward this goal. Ultimately, the author calls for collaborative efforts to ensure AI development aligns with human values.