After The Cheap-Token Era: What Digital Accessibility Teaches About Effective AI Use

Forbes Councils member Dylan Barrell argues that the era of cheap AI tokens is ending, and organizations must shift from using large language models (LLMs) for exhaustive generation to more targeted, validated applications, drawing lessons from digital accessibility practices. Barrell emphasizes that LLMs are trained to be helpful and generative, not optimized for exhaustive validation, so effective AI use requires clear goals, human oversight, and iterative refinement.

After The Cheap-Token Era: What Digital Accessibility Teaches About Effective AI Use By Dylan Barrell, Forbes Councils MemberSource: Forbes Innovation https://www.forbes.com/innovation/ Large language models LLMs are trained to be helpful and generative; this means they're not optimized for exhaustive validation. Get AI news in your inbox Daily digest of what matters in AI.