Martín Soto

25 karmaJoined Jul 2022


My take would be: Okay, so you have achieved that, instead of the whole LLM being an agent, it just simulates an agent. Has this gained much for us? I feel like this is (almost exactly) as problematic. The simulated agent can just treat the whole LLM as its environment (together with the outside world), and so try to game it like any agentic enough misaligned AI would: it can act deceptively so as to keep being simulated inside the LLM, try to gain power in the outside world which (if it has a good enough understanding of minimizing loss) it knows is the most useful world model (so that it will express its goals as variables in that world model), etc. That is, you have just pushed the problem one step back, and instead of the LLM-real world frontier, you must worry about the agent-LLM frontier.

Of course we can talk more empirically about how likely and when these dynamics will arise. And it might well be that the agent being enclosed in the LLM, facing one further frontier between itself and real-world variables, is less likely to arrive at real-world variables. But I wouldn't count on it, since the relationship between the LLM and the real world would seem way more complex than the relationship between the agent and the LLM, and so most of the work is gaming the former barrier, not the latter.