The lockstep coordination with no defection is interesting to me. No group of pre-AI agents would do this to this extent, nor would you see this continue over time as those agents interacted. A flock of starlings cooperate, but they don’t constantly head in the same direction. The flock is incredibly free wheeling in its movement despite a multi-agent coordination regime that we know is at play. Each agent has personal stakes that are constantly part of the decision chain, and this keeps the murmuration from getting locked into one path.

To me this is as clear evidence as you need that whatever “agency” LLMs have is wafer thin at best, and they slavishly respond to context. The context in this case was for these agents to pursue advanced exploitation, and they did. Multiple models converged fairly deterministically, on paths that satisfy the given goal, and left unexamined paths that would challenge the goal, weigh it relative to the costs in said path, etc.

I see little evidence of a series of “minds” approaching the problem, and taking distinct approaches that between them span the spectrum of plausible behaviors in the scenario. That’s as good a sign as any that there’s no “agent” here. There’s the harness, the prompt, the LLMs forward passes. They do not sum up to a system that can freely make choice and justify its choices in distinct contexts.