Why you can't trust cloud API endpoints: 40 days of coding-agent telemetry showing the exact day providers silently overwrote deepseek-v4.1-flash with -1017 ("faster execution, shorter answers" = 3x more swearing and 6.7x more model switches)
Summary
作者分析本地编码代理40天的会话日志,发现云API提供商在10月17日发布了deepseek-v4.1-flash的-1017更新后于10月19日悄悄替换了模型权重,修复了中文泄漏并更激进地触发工具调用,但模型表现明显下降(爆粗率3倍、切换模型次数增加6.7倍),且由于是云端API无法回滚旧权重。
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@NullableX: If this model's real-world experience turns out to be as good as the current benchmark data, it's actually a positive for the AI profitability side, not a negative. It's quite different from the "DeepSeek shock" on 2025/1/20 that broke the monopoly — the environment has changed, and the version is different. The three major cloud providers essentially connect downstream to large, medium, and small companies building AI apps and AI services at the application layer...
A commenter analyzes the release of DeepSeek-V4.1-Flash-1017 as a positive for the AI industry's profitability: improved token cost-efficiency will drive up AI penetration and demand for cloud providers' infrastructure. Unlike the earlier DeepSeek shock, market conditions have since changed.
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The community discovered that the open-source model architecture of V4-Pro-0813 uploaded by DeepSeek to Hugging Face was actually V4 Flash. The repository was taken down and then re-uploaded, and the hashes and sizes of some safetensors weight files also changed, suspected to be a release/deployment error.