AI Regulation May Build a Permanent Moat for Big Labs — and Shut Out Everyone Else
Compliance costs from the EU AI Act and US executive orders may benefit Google, OpenAI, and Anthropic while pricing startups out of regulated markets.
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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Compliance costs from the EU AI Act and US executive orders may benefit Google, OpenAI, and Anthropic while pricing startups out of regulated markets.
An open-source voice AI pipeline now runs entirely on CPU — no GPU, no cloud — with sub-100ms wake-word detection on five-year-old hardware.
Avataar AI launched a video model at $0.005/second — 90% cheaper than Western rivals — optimized for Indian languages and mobile-first markets.