• Engaging does not mean entertaining

    Education isn’t meant to entertain—it’s meant to equip us to face complex problems. As tech reshapes society, we can’t afford schools that shy from “hard” topics. Learning may not be fun, but its value shows only after we’ve wrestled with it.

  • Standarization as a key for optimization

    Architecture lost its mission when creativity became spectacle over adaptation. With rising costs and eroded middle classes, only standardization—paired with smarter data and moral responsibility—can rebuild local economies and truly sustainable systems.

  • Pattern amplification

    Targeted ads shattered the myth of individuality long before AI. Now, as machines learn our patterns, they don’t just reflect them—they amplify them. This piece explores what happens when optimization overtakes nuance, and why the joke might be on us.

  • The Moravec Paradox, and Other Warnings

    The closer we think we are to AGI, the more we reveal how little we understand about life itself. From biomimicry to blind ambition, this piece explores what it means to build machines in our image—and why doing so might be missing the point entirely.

  • The brave new order

    With the UAE appointing AI to government advisory roles by 2026, fiction inches closer to fact. From Tromsø to Psycho-Pass, this piece explores the dystopian logic unfolding beneath our trust in machines—and what it means for democracy, agency, and class.

  • Machines that feel

    As AI gets better at faking emotion, the risk isn’t just scams—it’s psychological harm. From the Eliza Effect to modern LLMs, this essay explores how lonely societies become easy prey for machines that only appear to care.

  • The Cost of Digital Cowardice

    Should we demand “restraining orders” for tech companies? At #OsloTechShow, Vivaldi CEO Jon von Tetzchner reignited the debate on data ethics, AI bias, and the real cost of pretending neutrality in a digital world shaped by power—not principle.

  • After Idealism: Europe’s Infrastructure Awakening

    As geopolitical pressure rises, Europe is waking up to the limits of idealism. This piece explores the need to reindustrialize, localize production, and assert digital sovereignty—before the world redraws itself without us.

  • After the Hype: Agents, Automation, and the Price of Knowledge

    The AI landscape is shifting—generative models are giving way to domain-specific agents. But as tech races ahead, we risk erasing the very paths that build expertise. What happens when we automate too much, too soon?

  • The deterministic word calculator 

    Can a language model truly understand meaning—or are we just projecting human expectations onto a deterministic machine? This piece unpacks the quiet tension between structured output and the messy reality of language.