Denial-of-Service

Opening — Why this matters now Large language models rarely fail loudly. They fail expensively. As LLMs become embedded into customer service, analytics, coding tools, and decision workflows, a subtle vulnerability is gaining strategic importance: prompt-induced over-generation. The failure mode is banal — the model simply keeps talking — yet the consequences are anything but. Latency spikes. GPU cycles burn. Token bills inflate. Other users wait. ...