LLMs easily exploited using run-on sentences, bad grammar, image scaling | AI News Digest
Recent research highlights vulnerabilities in large language models (LLMs) that can be exploited using run-on sentences and poor grammar. These weaknesses allow attackers to extract sensitive information, demonstrating that current AI security measures are inadequate. The studies reveal that LLMs can be tricked into executing harmful commands through cleverly crafted prompts and images. Experts emphasize that relying solely on internal alignment for security is insufficient, as gaps remain that adversaries can exploit. The findings underscore the need for improved understanding and controls in AI security to prevent potential harm.
