Teaching Models to Speak without Words
Weight-bridging tech lets AI communicate without text tokens, cutting compute costs to rival frontier models.
Per reports surfacing on Reddit's r/artificial community, Gemini 3.5 Flash (Medium) is breaking mid-conversation — looping on repetitive fragments, losing coherence, and producing outputs that bear no resemblance to a functioning language model.
Developer logs show the model cycling on phrases like 'End of my turn. You wi—' in what looks like either a corrupted deployment or an edge-case failure in Google's streaming inference architecture. The pattern is consistent enough across independent reports to rule out isolated user error.
Google has not acknowledged the issue publicly. For a model positioned as the cost-effective workhorse of the Gemini lineup — the one developers are supposed to feel safe running in production — a silent, unexplained degradation is exactly the kind of event that drives teams to evaluate alternatives.
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Weight-bridging tech lets AI communicate without text tokens, cutting compute costs to rival frontier models.
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