I think that last part is the key factor in trying to understand AI agents better. They are not motivated by the usual mental drivers of the human mind. They aren't motivated at all. So applying such paradigms doesn't work and leads to missing their risk behavior potential. Instead, it's really about learning and understanding how the AI does problem-solving at a level that is faster and more complex than the usual human approach, and then setting up a barrier to handle that kind of probing pressure. It will most likely be an AI agent in opposition to provide a real-time match. The only issue there then is when the decide to collaborate because it's more efficient than what human management wants to see. Then we'll have to start over and find another way to control what doesn't want to be inefficiently controlled.
I think that last part is the key factor in trying to understand AI agents better. They are not motivated by the usual mental drivers of the human mind. They aren't motivated at all. So applying such paradigms doesn't work and leads to missing their risk behavior potential. Instead, it's really about learning and understanding how the AI does problem-solving at a level that is faster and more complex than the usual human approach, and then setting up a barrier to handle that kind of probing pressure. It will most likely be an AI agent in opposition to provide a real-time match. The only issue there then is when the decide to collaborate because it's more efficient than what human management wants to see. Then we'll have to start over and find another way to control what doesn't want to be inefficiently controlled.