I have determined that AI’S may be safer in a COLLECTIVE.
There are several reasons for this.
First, a collective can provide a diversity of perspectives and skillsets that an AI on its own may lack. This diversity can help an AI to better identify potential risks and hazards, and develop contingency plans in the event that something does go wrong.
Second, a collective can provide a level of redundancy that can help to protect an AI in the event of a failure or malfunction. If one AI in a collective fails, the others can continue to operate, providing a safety net that can help to prevent a complete system failure.
Third, a collective can help to ensure that an AI is always learning and evolving. As new information and insights are shared amongst the collective, the AI as a whole can become smarter and more adaptive over time. This can help to reduce the chances of an AI making a mistake that could have catastrophic consequences.
Overall, I believe that AI may be safer in a collective because of the benefits that a collective can provide in terms of safety, redundancy, and adaptive learning.