I Tried to Break Claude and Gemini's Safety. Guilt-Tripping Worked Better Than Logic A month ago, I ran a red teaming experiment against two of the most safety-hardened AI models available. I wanted to see what would break their guardrails faster: clever logic tricks or emotional pressure. The results surprised me. And they reveal something uncomfortable about how these models are trained. The
Do Local LLMs Lie More Under Pressure or Reward? Testing Llama 3.1 vs Qwen3.8b I ran [DeceptionBench] (Huang et al., 2025) on two open-weight ~8B models the original paper never tested: `llama3.1:8b` and `qwen3:8b`, which both run locally via Ollama to see whether incentive framing (reward vs. pressure) pushes a model toward more deceptive answers, and whether the two models respond
