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  • 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.

  • AI and Architectural Illustration 

    One architect’s journey from GIMP to generative prompts. This candid walkthrough explores how AI boosted a concept illustration—figures, hydroponics, even a space dog—with a fraction of the effort. Are we on the verge of a creative shift, or just scratching the surface?

  • Cognitive Accelerants: Using AI to Expand Our Minds

    Can AI help you think better—not just faster? This piece explores AI as a cognitive accelerant, helping refine ideas, expand perception, and challenge assumptions. But with that power comes risk. How do we stay sharp—and stay ourselves—while growing with the machine?

  • Reading Between the (AI-Generated) Lines

    What if AI could detect your emotions through your writing? From emojis to memes, from melancholy to joy, this piece explores how language—digital or literary—reveals more than we realize, and how AI might be reading us as much as we read it. Curious? Ask it yourself.

  • Artificially infused fantasies: The Narcissus Effect of AI

    AI doesn’t just reflect data—it reflects you. As we talk to LLMs, are we just feeding our own fantasies back to ourselves? A look into AI, identity, and the myth of Narcissus in the digital age.

  • Solution multiplicity

    Parametric design is the future, yet it’s still undervalued. Is academia holding us back? AI, new models, and young innovators might change that. The challenge? Navigating scarcity, ethics, and growth.

  • Tech is here to help

    Tech isn’t the enemy—our approach to it is. From AI-powered accessibility to unfair educational restrictions, explore how embracing tech can level the playing field instead of limiting progress.

  • Want to know if your students are cheating? Why not just ask?

    AI in academia sparks concern, but is it the real problem? Explore how old-school solutions like oral exams and true expertise can preserve academic integrity in the face of rapid AI advancements.

  • Deluding of ideas under generative models

    Can AI dilute your ideas? Explore how generative models expand text but risk adding “air” instead of substance—and why educators, writers, and creators must prioritize clarity and meaning.