Just try using AI for a complicated mechanical repair. For instance draining the radiator fluid in your specific model of car, chances are googles AI model will throw in steps that are either wrong, or unnecessary. If you turn off your brain while using AI, you’re likely to make mistakes that will go unnoticed until the thing you did is business necessary. AI should be a tool like a straight edge, it has it’s purpose and it’s up to you the operator to make sure you got the edges squared(so to speak).
I think, this is only a issue in the beginning, people will sooner or later realise that they can’t blindly trust an LMM output and how to create prompts to verify prompts (or better said prove that not enough relevant data was analysed and prove that it is hallucinations)
Just try using AI for a complicated mechanical repair. For instance draining the radiator fluid in your specific model of car, chances are googles AI model will throw in steps that are either wrong, or unnecessary. If you turn off your brain while using AI, you’re likely to make mistakes that will go unnoticed until the thing you did is business necessary. AI should be a tool like a straight edge, it has it’s purpose and it’s up to you the operator to make sure you got the edges squared(so to speak).
I think, this is only a issue in the beginning, people will sooner or later realise that they can’t blindly trust an LMM output and how to create prompts to verify prompts (or better said prove that not enough relevant data was analysed and prove that it is hallucinations)