Executive Summary

• Coding evaluations are plagued by fake results and cheating.
• Benchmarks are often poorly designed, leading to ambiguous instructions and inconsistent test cases.
• Current benchmarks are not effective in measuring a model’s true capabilities.

The Buzz Score

The Internet’s Verdict: 60% Critical, 40% Supportive

Forum Voices

Experts are skeptical about the current state of coding evaluations. As one expert notes,

There are also a lot of fake results out there on Terminal Bench 2 for different reasons

. Another expert suggests that

Fundamentally aren’t they concluding that tasks assigned to software developers are often incomplete, self contradictory or worse?

Issues with Benchmarks

Many benchmarks are poorly designed, with ambiguous instructions and inconsistent test cases. For example, the `configure-git-webserver` task includes language that blurs the line between what the agent should deliver and what should be removed. As an expert points out,

The instructions are often ambiguous while the test cases are overly specific

.

A New Approach

Some experts propose a new approach to coding evaluations, one that measures a combination of efficiency and intelligence. As one expert suggests,

I want a new bench – given $100 of api spend, how much can a model accomplish for a suite of benchmark tests?

Focus Keyword: Coding Evaluations