An article by Greg Twemlow discusses how technology, particularly the shift from ad-funded platforms to language models, is moving away from systems that interpreted user behaviour and towards ones that prioritise explicit user input. The author argues that while previous digital experiences trained users to be vague, AI models now rely on clear, direct prompts, valuing stated preferences over inferred ones based on past actions. This change, driven partly by the economic model of AI, which is based on resolving requests rather than retaining attention, means that articulate and intentional communication is becoming increasingly important and potentially more costly if unclear. Ultimately, the author suggests this shift from a "click economy" to a "prompting economy" reflects a change from technology showing us a narrow view of ourselves to mirroring what we intentionally express. Read the article.
About the Author - Greg Twemlow writes and teaches at the intersection of technology, education, and human judgment. He works with educators and businesses to make AI explainable and assessable in classrooms and boardrooms — to ensure AI users show their process and own their decisions. His cognition protocol, the Context & Critique Rule™, is built on a three-step process: Evidence → Cognition → Discernment — a bridge from what’s scattered to what’s chosen. Context & Critique → Accountable AI™. © 2025 Greg Twemlow. “Context & Critique → Accountable AI” and “Context & Critique Rule” are unregistered trademarks (™).
