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title: Benchmarks: The Good, the Bad, and the Ugly — Ali Khial, G2i
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# Benchmarks: The Good, the Bad, and the Ugly — Ali Khial, G2i

**[AI Engineer](https://daily.dev/sources/aidotengineer)** · 12 min read · 0 upvotes · 0 comments

## Summary

A conference talk by Ali Khial, Director of AI and ML at G2i, exploring the problems with current AI coding benchmarks. Key issues identified include unrealistic prompts (SWEBench Pro averages 481 words per instruction), weak verifiers that reject correct implementations or accept wrong ones, and increasing reward hacking by models. The speaker proposes five principles for better benchmarks: human-authored instructions focused on desired behaviors, holistic graders balancing coverage with precision, production-grade economically valuable tasks, contamination-free novel tasks with private holdout sets, and informative leaderboards that explain why models rank as they do rather than just who wins.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=jWq-aZIU0kM>

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