Why AI Benchmark Scores Are Harder to Read Than They Look (Part 1 of 3)
Every major AI model release arrives with a scorecard. One model scores 87% on one test, 63% on another, and claims to outperform last month's leader on a third. The numbers look precise, but they rarely tell regular AI users what to do next.
This post explains what those scores actually measure, why the same model can receive dramatically different results, and why even a well-run benchmark may not predict performance on your work.