Sarah Sachs

This talk addresses the significant cost challenges in AI development, particularly the escalating expense of using large language models. It argues that focusing solely on token economics is a losing strategy, as model providers often increase prices or deprecate older versions. Instead, the core thesis is to win on product by leveraging data flywheels, sophisticated orchestration, and maintaining model agnosticism to preserve flexibility and avoid vendor lock-in.