# Meta Previews WildArtifactBench and Releases 10 Tasks

The framework assesses multimodal agents across diverse deliverable formats using win rates and Elo scores from human and agentic preference judges.

- Releases 10 initial tasks to evaluate practical utility in multimodal workflows
- Uses preference-based scoring instead of strict ground-truth rubrics to widen task coverage
- Provides artifact generation comparisons from Muse Spark 1.1 and 1.2 models

## Why it matters

Researchers and developers can evaluate complex multimodal agent outputs where fixed rubrics fail to capture quality across varied deliverable formats.

## Sources

- [Meta AI: Meta Previews WildArtifactBench and Releases 10 Tasks](https://x.com/AIatMeta/status/2090505413817246050)

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Summarized by dstilled on 2026-08-20. https://dstilled.ai/story/eb409392-a68f-4ef1-9a79-27b0a55aed41