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When Hallucination Is More Than a Wrong Fact: Measuring Reliability Through the User

TL;DR for operators A model change can improve an automated hallucination benchmark while leaving users dissatisfied for a different reason: sources are hard to verify, reasoning appears unsupported, false claims are stated with confidence, or corrections are ignored. The System Hallucination Scale (SHS) gives teams a structured way to measure those experiences across five dimensions rather than reducing reliability to a binary factual-error judgment.1 ...

September 8, 2026 · 7 min · Zelina
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From Questionnaires to Queries: When AI Starts Designing the Survey

Surveys look simple because the final artifact is simple. A customer clicks “agree.” An employee rates burnout from one to five. A manager reads a dashboard that says trust, anxiety, satisfaction, or readiness has moved by 7%. Everyone behaves as if the hard part was collecting responses. That is the polite fiction. ...

March 31, 2026 · 16 min · Zelina
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Benchmarks Without Borders: Inside the Moduli Space of AI Psychometrics

Procurement Has a Benchmark Problem Procurement teams love benchmark tables. They are clean, sortable, and emotionally comforting. Vendor A beats Vendor B by 3.7 points on a reasoning suite; Vendor C wins on code generation; Vendor D claims better tool use under “realistic agent workflows,” a phrase that usually means someone added a browser, a calculator, and optimism. ...

November 25, 2025 · 16 min · Zelina