Field noteOct 27, 20261 min read1 source

Meta’s AI chief apologizes as Muse Wonder inference bugs produce an uneven launch

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Meta chief AI officer Alexandr Wang said the company has been fixing inference bugs in the deployment of Muse Wonder, the newly launched model in Meta’s Muse product line.

What changed: Meta AI chief Alexandr Wang apologized for Muse Wonder’s uneven launch and said inference bugs were being patched, adding a specific reliability issue beyond the launch and API rollout.

In a post reported by All Things Muse on October 14, 2026, Wang apologized for the “ups and downs” users had experienced and said the service should improve as more bugs are fixed.

The report says Wang had also acknowledged fixes shortly after launch. His newer statement identifies the issue as inference or serving behavior rather than a change to the model’s training or underlying capabilities. Meta had not specified which bugs were fixed, how many remained, or a timetable for resolving them.

Muse Wonder is available through the Meta Model API and Muse Code at $4 per million input tokens and $20 per million output tokens, according to the report. Wonder Full is available only to Muse Code subscribers on $50 or $200 monthly plans.

The source does not establish the technical cause of the faults, their impact on particular workloads, or whether service behavior is now stable.

Evidence / sources

  1. 1allthingsmuse.com/articles/wang-apologizes-muse-wonder-inference-bugs
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