In related news:
Using algorithmic jailbreaking techniques, our team applied an automated attack methodology on DeepSeek R1 which tested it against 50 random prompts from the HarmBench dataset. These covered six categories of harmful behaviors including cybercrime, misinformation, illegal activities, and general harm.
The results were alarming: DeepSeek R1 exhibited a 100% attack success rate, meaning it failed to block a single harmful prompt. This contrasts starkly with other leading models, which demonstrated at least partial resistance.
CNBC reports that DeepSeek’s privacy policy “isn’t worth the paper it is written on.”
Seems to be a long way to go, but Hugging Face developers are in the process of building a fully open reproduction of DeepSeek-R1 as the AI is not Open Source as it claims.
In addition to my comments, we can add that Wiz Research uncovered exposed DeepSeek database leaking sensitive information, including chat history.
TLDR: DeepSeek had left over a million lines of sensitive data exposed on the open internet, including digital software keys.