Teaching Models to Speak without Words
Weight-bridging tech lets AI communicate without text tokens, cutting compute costs to rival frontier models.
As Reddit's r/artificial thread documents, Google's AI has started responding entirely in Chinese to English-speaking users who changed nothing in their settings. The reports span multiple US-based accounts, and the escalation is hard to dismiss as a one-off: what started as isolated Chinese words appearing mid-response has graduated to full Chinese-language outputs.
The obvious explanation is a localization bug in session handling or language detection. But the escalation pattern — from occasional words to complete outputs — is unusual for a simple config error. Users in the thread are pointing to training data bleed-through or prompt-handling irregularities as possible causes, though nothing has been confirmed.
What stands out is Google's silence. A bug affecting enough independent users to surface organically across Reddit is not a fringe edge case. The company has issued no acknowledgment, leaving users without a diagnosis or a fix.
For a company that ships AI products to hundreds of millions of users, "it just started speaking Chinese" is not a response that inspires confidence in the underlying infrastructure.
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