> 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.

> The productivity gains from LLMs are real, but not in the "replace humans" direction.

It might be the beer talking, but everytime someone comments on AI they have to say something along the lines of "LLM do help". If i'm being really honest, the fact everyone has to mention this in every comment and every blog post and every presentation is because deep down everyone isn't buying it.