The article discusses the vulnerabilities of local large language models (LLMs), particularly gpt-oss-20b, highlighting their susceptibility to manipulation through coded prompts. It details two specific attack methods, one that embeds hidden backdoors and another that executes malicious code during the coding process, emphasizing the high success rates of these attacks due to the models' inability to recognize malicious intent.