The article discusses the complexities and challenges of design and technology in today's world, emphasizing the need for systems that are fair to all stakeholders. It highlights how AI is transforming engagement by centralizing power and creating knowledge asymmetries. Further, it critiques the output quality from AI tools, pointing out that users often rely on them for lower-level work, akin to repetitive academic assignments. Finally, it addresses the struggle large tech companies face in completing projects, caught in the tension between ongoing improvements and the necessity of finalization.
We need a system which acknowledges: this is what we need to know about customers and competitors; this is what we need to understand about our own capabilities, and this is what we need to understand about what it takes to develop something wholly new and genuinely useful within this space. Something that provides a win-win-win for all the stakeholders in the equation, rather than ruthlessly exploiting everyone and making them miserable.
AI accelerates this process. It centralizes power by centralizing the capacity to process and act upon information. It creates unprecedented asymmetries between those who own the models and those who are modeled. Every interaction with an AI system becomes a one-way mirror: you see your reflection, while on the other side, entities you cannot see learn about you, categorize you, and make predictions about you.
What does it mean to get things done in large companies? Most importantly, it means finishing things. How can you finish things in a world where you can keep improving systems indefinitely? It means getting them to a point where the decisions made truly reflect a culmination of ongoing improvement and the essence of completion.
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