The article explores how companies that prioritize model weights in AI development can achieve better outcomes than traditional corporate environments burdened by rigid conventions. It argues that model weight first companies allow for more efficient use of large language models, as they don't impose unnecessary context engineering. This shift could become crucial for corporate success in AI adoption.