Muse Wonder's under-discussed edge: first frontier lab to report 'big model smell' anti-benchmaxxing metric
alexandr_wang · x · 2026-10-14
Commenter harrisp10 highlights two under-discussed aspects that make the Muse Wonder launch unique:
- Big model smell reporting: the first frontier lab to measure and report how the model performs on post-training-targeted tasks vs held-out tasks — effectively a guard against 'benchmaxxed' models. The author argues all labs should adopt this and ideally name the held-out tasks.
- Active focus: Muse Wonder is built to persist through real-world blockers, trying alternative approaches and adapting to new information while checking in before important actions (e.g., retrying a failed dinner reservation or form error).
Scale AI CEO Alexandr Wang amplified the analysis.
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