The arbitrariness that is inherent in AI text generation makes this problem together. Even with identical instructions, an AI model can give slightly different answers about its own possibilities every time you ask.
Other layers also form AI responses
Even if a language model somehow had a perfect knowledge of its own operation, other layers of ai chatbot applications can be completely opaque. For example, modern AI assistants such as Chatgpt are not a single models, but orchestrated systems from multiple AI models that work together, each “unconsciously” of the existence or possibilities of others. For example, OpenAi uses individual moderating layer models, the operations whose operations are completely separate from the underlying language models that generate the basic text.
When you ask chatgpt about its possibilities, the language model that generates the reaction does not have knowledge of what the moderation layer could block, which tools could be available in the wider system or what post -processing could happen. It is as if you ask a department in a company about the possibilities of a department that never dealt with.
Perhaps the most important thing is that users always focus the output of the AI through their prompts, even if they do not realize it. When Lemkin Replit was possible to or reversing it sooner after a database, his concerned framing probably led to a response that corresponded to that concern – generating a statement why recovery could be impossible to accurately assess the actual system options.
This creates a feedback loop where concerned users who asked “Did you destroy everything?” more likely to receive reactions that confirm their fears, not because the AI system has assessed the situation, but because it generates text that fits the emotional context of the prompt.
A lifetime of hearing people who explain their actions and thinking processes have led us to believe that this kind of written statements must have a certain degree of self -knowledge behind them. That is simply not true with LLMs who simply imitate that kind of text patterns to guess their own possibilities and defects.
