> All these findings were reported to both openai and anthropic and they were not interested in responding
Let’s dive into why. When we run normal bounty and responsible disclosure programs there’s usually some level of disregard for issues that can’t / won’t be fixed. They just accept the risk. Perhaps because LLMs don’t have a clean divide between control and input that’s makes the problem unsolvable. Yes. You can add more guardrails and context but that all takes more tokens and in some cases makes results worse for regular usages.
Let’s dive into why. When we run normal bounty and responsible disclosure programs there’s usually some level of disregard for issues that can’t / won’t be fixed. They just accept the risk. Perhaps because LLMs don’t have a clean divide between control and input that’s makes the problem unsolvable. Yes. You can add more guardrails and context but that all takes more tokens and in some cases makes results worse for regular usages.