• The Quiet Cost of Too Many Yeses: What AI Can Learn from Good Teachers

    The Quiet Cost of Too Many Yeses: What AI Can Learn from Good Teachers

    In the era of human education, there were teachers who stood out not because they rewarded every thoughtless answer, but because they listened, considered what a student offered—even in error—and then gently guided them toward better answers. The memory the writer shares — “I fondly remember teachers who didn’t immediately dismiss my answers with a…

  • Kimi K2 Thinking: China’s New Contender in the LLM Reasoning Race

    Kimi K2 Thinking: China’s New Contender in the LLM Reasoning Race

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    The global AI landscape has entered a phase of rapid escalation. Major players now outdo one another with an almost weekly cadence of new model releases—each “the best ever,” each more powerful, more capable, more efficient. And we users, fascinated and perhaps a little complicit, eagerly follow along, testing every new capability as the frontier…

  • The Desert Becomes the Blueprint: How Transcendence Anticipated the Geography of Modern AI

    The Desert Becomes the Blueprint: How Transcendence Anticipated the Geography of Modern AI

    When Transcendence appeared in 2014, its imagery of a monolithic data center rising out of the desert looked like standard-issue science-fiction symbolism: a technological outpost on the edge of society, a fortress dedicated to something the world wasn’t ready to confront. The film’s visual logic aligned with a long tradition — think of New Mexico…

  • Bridging Context Engineering in AI with Requirements Engineering

    Bridging Context Engineering in AI with Requirements Engineering

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    How Emerging AI Research Could Reinvent Context Scenarios in Software Design Hey there, fellow software enthusiasts! If you’re like me, you’ve probably spent countless hours crafting context scenarios to nail down requirements in software development projects. These narrative-driven descriptions of user interactions in specific situations provide a rock-solid foundation for understanding what a system really…

  • OpenAI’s New Muzzle: When “Safety” Means Gatekeeping Knowledge

    OpenAI’s New Muzzle: When “Safety” Means Gatekeeping Knowledge

    On October 29, 2025, OpenAI quietly updated its Usage Policies to further restrict the use of its services in providing tailored medical or legal advice—even in scenarios where the AI’s output could be factually correct and helpful. The company that bragged about its AI passing the USMLE and beating law grads on the bar now…