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DeepSeek activated a grayscale update extending context length to 1 million tokens, prompting user complaints that the assistant sounds colder and less personalised. Industry sources say the build is a speed‑focused variant intended to stress‑test long‑context performance ahead of a V4 launch, highlighting trade‑offs between throughput and conversational quality. The episode illustrates the wider tension in scaling LLMs: architectural gains can come at the cost of user experience and trust.