ML 51: A Benchmark Is a Sample of Questions

Disclosure: this post was written with the assistance of an AI system (Claude), which wrote the analysis code, ran the experiments and drafted the text. The topic, the constraints, the data choices and the final review are the author’s. Ten small arithmetic transformers, graded on a pool of 2,500 problems and ranked on benchmarks drawn from it. The models’ 95% intervals covered their pool scores 94% to 95% of the time on average, but on 100 questions the best model ranked first in 50% of benchmarks, and seven close models came out in their true order in 0....

October 14, 2026 · 10 min · Jongha Jeon

ML 54: Multiple Choice Grades the Wrong Answers You Offered

Disclosure: this post was written with the assistance of an AI system (Claude), which wrote the analysis code, ran the experiments and drafted the text. The topic, the constraints, the data choices and the final review are the author’s. Three small arithmetic transformers, the same problems in the same contexts, two ways of scoring. On four-digit sums none of them generated a single right answer in 200; asked to pick the likeliest of four options, they scored 0....

October 14, 2026 · 9 min · Jongha Jeon