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  • Public trust and AI models

    Can we trust AI? With misinformation creeping in, even subtle inaccuracies can reshape reality. Explore why AI education—not restriction—is the key to guiding the next generation in a digital world.

  • Dangers of a hallucinated reality

    AI is reshaping reality—sometimes dangerously. When models like DeepSeek rewrite history to align with political agendas, the risk isn’t just bias—it’s control. Are we witnessing an Orwellian shift in truth?

  • The value of educational institutions

    Can’t we learn everything alone? Discover why formal education remains vital in a digital age, offering structured learning, professional guidance, and invaluable networks for lasting success.

  • Is AI cheating?

    Is AI cheating? Explore the debate over AI’s role in education, its value in knowledge synthesis, and why responsible use can empower creativity—far from replacing true expertise and critical thought.

  • The Dawn of Progress: A History of Misguided Fears

    Humanity has long feared new technologies, from books to electricity. This article explores historical fears and highlights how knowledge can help us embrace AI without unnecessary alarm.

  • So, who owns the data?- Pt2

    Data ownership in construction faces hurdles with subscription models, IFC limitations, and tech dependencies. Can PDFs and DWGs outlast flashy trends? Explore challenges and potential paths forward.

  • So, who owns the data?- Pt1

    Who truly owns design data in construction? Explore how subscription models, data ownership, and design value preservation challenge tech adoption and reshape industry practices.

  • An irrational industry and the dreams of inexistent stability

    Are we chasing an impossible dream of stability in a world with unrealistic demands? Dive into a thought-provoking critique of industry, education, and the relentless race we call modern life.

  • Academia hinders itself by stopping AI

    Academia’s resistance to AI stifles progress. Embracing technology is key to relevance, as dismissing it harms education and innovation. Fear of change risks making institutions obsolete.

  • Good practices for the use of AI engines

    Master AI responsibly! From understanding its limits to cross-checking responses, learn practical tips to avoid misinformation and ensure AI becomes a tool for insight—not confusion.