The Nonlinear Library EA - LLMs cannot usefully be moral patients by LGS
Jul 2, 2024
05:53
Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: LLMs cannot usefully be moral patients, published by LGS on July 2, 2024 on The Effective Altruism Forum.
For AI Welfare Debate Week, I thought I'd write up this post that's been juggling around in my head for a while. My thesis is simple: while LLMs may well be conscious (I'd have no way of knowing), there's nothing actionable we can do to further their welfare.
Many people I respect seem to take the "anti-anti-LLM-welfare" position: they don't directly argue that LLMs can suffer, but they get conspicuously annoyed when other people say that LLMs clearly cannot suffer. This post is addressed to such people; I am arguing that LLMs cannot be moral patients in any useful sense and we can confidently ignore their welfare when making decisions.
Janus's simulators
You may have seen the LessWrong post by Janus about simulators. This was posted nearly two years ago, and I have yet to see anyone disagree with it. Janus calls LLMs "simulators": unlike hypothetical "oracle AIs" or "agent AIs", the current leading models are best viewed as trying to produce a faithful simulation of a conversation based on text they have seen. The LLMs are best thought of as masked shoggoths.
All this is old news. Under-appreciated, however, is the implication for AI welfare: since you never talk to the shoggoth, only to the mask, you have no way of knowing if the shoggoth is in agony or ecstasy.
You can ask the simularca whether it is happy or sad. For all you know, though, perhaps a happy simulator is enjoying simulating a sad simularca. From the shoggoth's perspective, emulating a happy or sad character is a very similar operation: predict the next token. Instead of outputting "I am happy", the LLM puts a "not" in the sentence: did that token prediction, the "not", cause suffering?
Suppose I fine-tune one LLM on text of sad characters, and it starts writing like a very sad person. Then I fine-tune a second LLM on text that describes a happy author writing a sad story. The second LLM now emulates a happy author writing a sad story. I prompt the second LLM to continue a sad story, and it dutifully does so, like the happy author would have. Then I notice that the text produced by the two LLMs ended up being the same.
Did the first LLM suffer more than the second? They performed the same operation (write a sad story). They may even have implemented it using very similar internal calculations; indeed, since they were fine-tuned starting from the same base model, the two LLMs may have very similar weights.
Once you remember that both LLMs are just simulators, the answer becomes clear: neither LLM necessarily suffered (or maybe both did), because both are just predicting the next token. The mask may be happy or sad, but this has little to do with the feelings of the shoggoth.
The role-player who never breaks character
We generally don't view it as morally relevant when a happy actor plays a sad character. I have never seen an EA cause area about reducing the number of sad characters in cinema. There is a general understanding that characters are fictional and cannot be moral patients: a person can be happy or sad, but not the character she is pretending to be. Indeed, just as some people enjoy consuming sad stories, I bet some people enjoy roleplaying sad characters.
The point I want to get across is that the LLM's output is always the character and never the actor. This is really just a restatement of Janus's thesis: the LLM is a simulator, not an agent; it is a role-player who never breaks character.
It is in principle impossible to speak to the intelligence that is predicting the tokens: you can only see the tokens themselves, which are predicted based on the training data.
Perhaps the shoggoth, the intelligence that predicts the next token, is conscious. Perhaps not. This doesn't matter if we ca...
For AI Welfare Debate Week, I thought I'd write up this post that's been juggling around in my head for a while. My thesis is simple: while LLMs may well be conscious (I'd have no way of knowing), there's nothing actionable we can do to further their welfare.
Many people I respect seem to take the "anti-anti-LLM-welfare" position: they don't directly argue that LLMs can suffer, but they get conspicuously annoyed when other people say that LLMs clearly cannot suffer. This post is addressed to such people; I am arguing that LLMs cannot be moral patients in any useful sense and we can confidently ignore their welfare when making decisions.
Janus's simulators
You may have seen the LessWrong post by Janus about simulators. This was posted nearly two years ago, and I have yet to see anyone disagree with it. Janus calls LLMs "simulators": unlike hypothetical "oracle AIs" or "agent AIs", the current leading models are best viewed as trying to produce a faithful simulation of a conversation based on text they have seen. The LLMs are best thought of as masked shoggoths.
All this is old news. Under-appreciated, however, is the implication for AI welfare: since you never talk to the shoggoth, only to the mask, you have no way of knowing if the shoggoth is in agony or ecstasy.
You can ask the simularca whether it is happy or sad. For all you know, though, perhaps a happy simulator is enjoying simulating a sad simularca. From the shoggoth's perspective, emulating a happy or sad character is a very similar operation: predict the next token. Instead of outputting "I am happy", the LLM puts a "not" in the sentence: did that token prediction, the "not", cause suffering?
Suppose I fine-tune one LLM on text of sad characters, and it starts writing like a very sad person. Then I fine-tune a second LLM on text that describes a happy author writing a sad story. The second LLM now emulates a happy author writing a sad story. I prompt the second LLM to continue a sad story, and it dutifully does so, like the happy author would have. Then I notice that the text produced by the two LLMs ended up being the same.
Did the first LLM suffer more than the second? They performed the same operation (write a sad story). They may even have implemented it using very similar internal calculations; indeed, since they were fine-tuned starting from the same base model, the two LLMs may have very similar weights.
Once you remember that both LLMs are just simulators, the answer becomes clear: neither LLM necessarily suffered (or maybe both did), because both are just predicting the next token. The mask may be happy or sad, but this has little to do with the feelings of the shoggoth.
The role-player who never breaks character
We generally don't view it as morally relevant when a happy actor plays a sad character. I have never seen an EA cause area about reducing the number of sad characters in cinema. There is a general understanding that characters are fictional and cannot be moral patients: a person can be happy or sad, but not the character she is pretending to be. Indeed, just as some people enjoy consuming sad stories, I bet some people enjoy roleplaying sad characters.
The point I want to get across is that the LLM's output is always the character and never the actor. This is really just a restatement of Janus's thesis: the LLM is a simulator, not an agent; it is a role-player who never breaks character.
It is in principle impossible to speak to the intelligence that is predicting the tokens: you can only see the tokens themselves, which are predicted based on the training data.
Perhaps the shoggoth, the intelligence that predicts the next token, is conscious. Perhaps not. This doesn't matter if we ca...