Fundamental flaw makes LLMs extremely vulnerable to attacks
Researchers have identified a fundamental architectural flaw in large language models that leaves them strikingly vulnerable to adversarial attacks. This weakness can be exploited to manipulate model outputs, raising serious safety concerns for AI systems used in critical applications. The finding underscores the urgent need for robust defenses in AI deployment.