Category: Blog
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Why AI Scaling Hits a Wall: The Hidden Ceiling Behind Large Language Models
Editorial Note: The visual figures embedded in this article are conceptual diagrams created to intuitively illustrate the geometric and mathematical principles established in the cited MIT research [3], rather than figures taken directly from the original publications For the past decade, the dominant heuristic in artificial intelligence has been straightforward: bigger models yield smarter behavior…
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AI-Assisted CV Screening, Part 2: Sharper Requirements, a Council of Models
Follow-up to AI-Assisted CV Screening: A Research Prototype (February 2026). In February, we asked how AI could assist with CV screening while keeping human judgment firmly in the decision-making seat. Since then, the prototype has evolved in three important ways. It now interprets job requirements more precisely. It fails visibly rather than silently: anything it cannot read, calculate, or…
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What HR Dashboards Can’t Answer And What to Do About It
Most HR dashboards are good at answering the questions they were built to answer. The challenge arrives when someone asks the next one. Which of my staff are projected to exceed the 60-day annual-leave carry-over cap? Of those, who has no leave booked before the 31 March cut-off? Which departments are most exposed? Who needs…
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The AI That Ratted Itself Out: How One Click Could Empty Your Gmail Through Copilot
This is about Microsoft Copilot Personal, the free consumer chat assistant at copilot.microsoft.com, not GitHub Copilot (the coding autocomplete tool) or Microsoft 365 Copilot for work and school accounts. The enterprise version has had its own separate, since-patched issues, but this piece focuses on the consumer product. If you wanted to break into a locked…