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Tension Landscapes

Article Timber Stinson-Schroff

This issue explores tensions—conceptualized as the intersection of engineering trade-offs and social conflicts—as a fundamental analytical tool for understanding protocol design, using large language models as a concrete case study where technical adjustments and social policies attempt to address the same underlying problems. The piece argues that tensions create spannungsfelds (fields of tension) that are increasingly entangled across technical and social domains, illustrated through how companies and institutions respond to LLM disruption through both engineering tweaks and policy interventions.

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A Government Guide to Open Protocols

Public sector institutions can escape the false choice between proprietary vendor dependency and expensive in-house development by adopting open protocols, which distribute control across multiple actors and allow governments to understand, participate in, and adapt their digital infrastructure. European governments are increasingly implementing open protocols for messaging, digital ID, and cross-border services as a way to achieve digital sovereignty while reducing both software costs and geopolitical exposure.

article governance protocols

Kelly Roegies

Article

A Sea of Distributed Ai

This issue features worldbuilding analysis of the AI-generated film South Beast Asia, examining ten core traits designed to explore distributed AI systems through a Southeast Asian-inspired lens developed at the Khlongs & Subaks workshop. The piece unpacks how fictional 'strange rules' address questions of AI distribution while the issue also hosts a guest talk with AI Snake Oil author Arvind Sarayanan.

AI article fiction

Sam Chua

Article

Curate Your Own Pipeline

Stanley Chen, a science fiction author who co-wrote AI 2041 with Google China's CEO, describes his hybrid writing process where he uses LLMs as essential tools but rewrites every line they generate, believing current models are insufficient as both writers and literary judges. The interview explores his practical experience with different LLM models for fiction writing, including their strengths with language-specific features like Chinese punctuation, and his philosophy of using AI as a collaborative partner rather than a substitute for human creativity.

article fiction interview

Amita