In the AI industry, the 'commercial model' follows a "move fast, break things" philosophy, deploying products iteratively, focusing on raising capital, and building more powerful computers. This approach prioritizes speed and market readiness, often at the expense of thorough research.
In contrast, the 'academic model' emphasizes in-depth research and development, particularly in interpretability and alignment. It allocates fewer resources to developing consumer-oriented AI products, prioritizing careful, methodical advancement over rapid deployment.