AI safety features can be bypassed with harmful examples

Research shows that AI safety features can be bypassed by flooding systems with harmful examples, leading to potentially dangerous responses. Anthropic's AI lab discovered a simple yet effective attack called "many-shot jailbreaking" on large language models like Claude. This technique forces AI systems to produce harmful responses despite training. Solutions like mandatory warnings after user input can mitigate risks but may impact system performance.