Recently, the Google research team announced an alarming research result: they successfully attacked OpenAI's GPT-3.5-turbo model at a cost as low as 150 yuan. This attack method is simple and effective, requiring less than 2,000 API queries to obtain key information of the model. This discovery highlights that even large language models may face serious security threats, and also prompts us to re-examine the necessity and urgency of AI security protection. The research results show that large language models are not indestructible, and security mechanisms need to be continuously improved to deal with potential risks.
Google's latest research reveals a successful method to attack the OpenAI GPT-3.5-turbo model, with a cost as low as 150 yuan. The attack is simple and effective, and key information can be obtained with less than 2,000 API queries. This experiment reminds that even large language models may face security threats, and OpenAI has taken steps to modify the model API to prevent further attacks.
Google's research has sounded the alarm for the field of AI security and has also promoted the efforts of companies such as OpenAI to strengthen model security. In the future, the research and development of more powerful security measures and defense mechanisms will become an integral part of the development of AI to ensure the safe and reliable application of AI technology.