How to Read AI Leaderboards Without Getting Misled

Leaderboards can be useful if you understand what is weighted and why.

Common pitfalls

• Assuming one score fits every user type
• Ignoring category weight assumptions
• Treating benchmark results as real-world certainty

Better approach

Track scores by segment (business, developer, consumer) and compare against your own acceptance criteria.