AI accuracy
How often AI gets things wrong, why, and how to catch it before it matters.
AI benchmarks explained
What GPQA, MMLU-Pro, SWE-bench, Humanity's Last Exam and the big leaderboards measure, why many are saturated or contaminated, and how to read a score.
AI hallucination rates
AI hallucination rates run from under 2% to over 80% depending on the task. The dated figures, what each one measures, and how to measure your own.
Best AI for data analysis
Which AI is most accurate for data analysis, what spreadsheet and SQL benchmarks show, and the checks that catch a wrong number before it reaches a dashboard.
Best AI for finance
How accurate AI is on real finance tasks, what FinanceBench and Vals AI measure, and a two-minute check before an AI number reaches a model or memo.
Best AI for research
Independent studies of AI search and deep research tools, what their citation accuracy really is, and how to test a research AI on a topic you know.
How to check AI answers
How to fact-check ChatGPT, Claude or Gemini: split the answer into claims, sort them by type, and run the right check on each. With a worked example.
Most accurate AI
Which AI is most accurate depends on what you measure. Three leaderboards, three different winners, and a two-minute test to run on your own questions.