DeepSeek Raises Alarm Over AI Training Infrastructure Safety, With Minor Reporting Distortions Noted
Mostly True
A report that DeepSeek's emergence triggered warnings about the security and stability of AI training infrastructure has been assessed as "daecheoro sasil" (대체로 사실, mostly true), after reviewers found small factual distortions in the original coverage, including the mixing in of an OpenAI example and an incorrect 250TB data figure. Eight primary sources were reviewed in reaching the judgment.
Core Claim Holds
The central point of the report — that DeepSeek has served as a wake-up call regarding the safety of AI training infrastructure — is supported by the underlying material. The assessment, based on eight primary sources, found the claim substantively accurate.
Minor Distortions Identified
The report was downgraded one step from fully accurate due to two flaws: an OpenAI example was blended into the DeepSeek story, and the volume of data involved was written as 250TB, a figure not borne out by the sources. These micro-distortions do not overturn the main claim but warrant a reduced rating.
Rating
The final judgment was set at one level below full accuracy. The claim that DeepSeek sounded an alarm over AI training infrastructure safety is mostly true.
- http://v.daum.net/v/20260924162841883
- https://arxiv.org/abs/2609.22978
- http://v.daum.net/v/20260924155951559
- https://technode.com/2026/09/23/deepseek-dsec-agent-training-sandbox-infrastructure/
- https://arxiv.org/html/2609.22978v1
- https://avatars.githubusercontent.com/u/148330874?s=200&v=4
- https://i0.wp.com/technode.com/wp-content/uploads/2026/07/deepseek-logo.png
- https://t1.daumcdn.net/news/202609/24/yonhap/20260924155951189oxql.jpg
