Western Deepseek – Same model but we don't send your data to China
Hi! I'm launching Western Deepseek, an alternative to Deepseek that ensures your data stays private and doesn't get sent to China. It's the same model, but self-hosted and privacy-focused. Try it out and let me know your thoughts!
Western Deepseek – Same model but we don't send your data to China launched on February 7, 2025 with 9 votes, #2,586 of 5,999 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
When DeepSeek became the #1 app overnight, we deployed a Western alternative in 24 hours. Here's what happened and where to use DeepSeek safely now.
Update: We are no longer hosting Western DeepSeek due to costs. This page now serves as a guide for using DeepSeek safely. In January 2025, DeepSeek R1 was released and immediately became the #1 app. Within hours, we observed frontier AI researchers from top labs testing it with sensitive prompts, with all data flowing through China-hosted infrastructure. Every query to DeepSeek created an intelligence windfall for the CCP. Query patterns, research priorities, and safety concerns from frontier researchers were all exposed. This wasn't just about privacy; it was about national security and technological competitiveness. Queries in DeepSeek can be tied to specific usernames and/or specific…from westerndeepseek.com
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DeepSeek Your HN Profile2025 · hn-wrapped.kadoa.com · ▲121A fun project that I built to try out R1 Distill Llama 70B. Enjoy :)
DeepSeek-V3.12025 · chat.deepseek.com · ▲417The best-performing and best of value open-source AI model
Distilling DeepSeek into GPT-OSS doesn't transfer censorship. Try itJul 2026 · ctgt.ai · ▲170We recently used DeepSeek V4 Flash as a teacher for finance tasks with GPT-OSS-120B. Distillation works well on this problem. At a constrained 8k token budget, our self-distilled 120B scores 83.61% on FinanceReasoning, above Kimi K3 (81.93%) and Inkling (65.13%). We released the 20B open weights. With V4 as the teacher though, we realized it would be timely to measure if the censorship characteristic of it transferred to the distilled version of the base model. tl;dr it didn't, the teacher answered politically sensitive questions 7 SDs differently than expected, but the distilled model's…
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