Category: Blog
-
When Four AI Models Agree, They Can Still Be Wrong
New research shows why agreement among AI models is a useful signal for human review, but not a substitute for judgment. More AI models, fewer mistakes? Imagine asking an AI model whether a law protects people’s data in a particular way. The model says yes and points to a passage in the legislation. You ask…
-
Three ways to make Zotero talk back
Zotero‘s search is exact: it matches the words you typed against the words in your library. It has no way to answer “did I already save something that argues X drives Y,” no way to read six papers and summarize them back to you, and no way to draft a related-work section on a topic…
-
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…
-
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…