Lies, damned lies, and benchmarks

123

from Artificial Ignorance [alt+shift+b] in AI

While benchmarks (and leaderboards) are useful tools, they are but a small facet when it comes to evaluating large language models. Often, they're not the best indicators of real-world utility - and I want to dig into why (and what other approaches exist).

a year ago

Remove from reading list Add to reading list [alt+a] Read now [→]

Improve your reading experience

Logged in users get linked directly to articles resulting in a better reading experience. Please login for free, it takes less than 1 minute.

More from Artificial Ignorance

AI Roundup 124: $uperintelligence

June 27, 2025.

4 days ago • 8 votes

AI Roundup 123: Video killed the image gen star

June 20, 2025.

a week ago • 7 votes

Inside Pulley's AI-Native Engineering Team

Lessons from a year of daily AI coding at a fast-growing startup (and why "Cursor wrote it" is not a valid excuse).

a week ago • 10 votes

AI Roundup 122: Economies of Scale

June 13, 2025.

2 weeks ago • 10 votes

The State of AI Engineering (2025)

Big ideas from the 2025 World's Fair.

2 weeks ago • 10 votes

More in AI

ML Jobs, Resources, and Content for Software Engineers #14: How do we combat cognitive decline?

An AI reading list curated to make you a better engineer: 7-1-25

5 hours ago • 2 votes

AI Roundup 124: $uperintelligence

June 27, 2025.

4 days ago • 8 votes

Weekly ML for SWEs #13: Avoiding brain rot is the key to success

An AI reading list curated to make you a better engineer: 6-24-25

a week ago • 9 votes

Using AI Right Now: A Quick Guide

Which AIs to use, and how to use them

a week ago • 7 votes

AI Roundup 123: Video killed the image gen star

June 20, 2025.

a week ago • 7 votes

New here?