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  • AI, Authoritarianism, and the New Cold Front

    Russia’s new tech decree is just the beginning. As AI merges with state power, the real threat isn’t nukes—it’s control through code. We’ve been here before. Will we reinvent—or retreat?

  • The snake is bitting it’s own tail

    The AI hype cycle may be setting us up for another industry collapse. With inflated promises, repackaged features, and unrealistic expectations, are we trading the future of innovation for short-term gains? Maybe it’s time to step off the hype train.

  • AI Agents and the New Erosion of Privacy

    As AI agents promise convenience, they quietly dismantle our privacy. This piece explores the growing risks of automation—and why handing over control might cost more than we think.

  • 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.