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This is: The Parable of Predict-O-Matic, published by abramdemski on LessWrong.
Crossposted from the AI Alignment Forum. May contain more technical jargon than usual.
I've been thinking more about partial agency. I want to expand on some issues brought up in the comments to my previous post, and on other complications which I've been thinking about. But for now, a more informal parable. (Mainly because this is easier to write than my more technical thoughts.)
This relates to oracle AI and to inner optimizers, but my focus is a little different.
1
Suppose you are designing a new invention, a predict-o-matic. It is a wonderous machine which will predict everything for us: weather, politics, the newest advances in quantum physics, you name it. The machine isn't infallible, but it will integrate data across a wide range of domains, automatically keeping itself up-to-date with all areas of science and current events. You fully expect that once your product goes live, it will become a household utility, replacing services like Google. (Google only lets you search the known!)
Things are going well. You've got investors. You have an office and a staff. These days, it hardly even feels like a start-up any more; progress is going well.
One day, an intern raises a concern.
"If everyone is going to be using Predict-O-Matic, we can't think of it as a passive observer. Its answers will shape events. If it says stocks will rise, they'll rise. If it says stocks will fall, then fall they will. Many people will vote based on its predictions."
"Yes," you say, "but Predict-O-Matic is an impartial observer nonetheless. It will answer people's questions as best it can, and they react however they will."
"But --" the intern objects -- "Predict-O-Matic will see those possible reactions. It knows it could give several different valid predictions, and different predictions result in different futures. It has to decide which one to give somehow."
You tap on your desk in thought for a few seconds. "That's true. But we can still keep it objective. It could pick randomly."
"Randomly? But some of these will be huge issues! Companies -- no, nations -- will one day rise or fall based on the word of Predict-O-Matic. When Predict-O-Matic is making a prediction, it is choosing a future for us. We can't leave that to a coin flip! We have to select the prediction which results in the best overall future. Forget being an impassive observer! We need to teach Predict-O-Matic human values!"
You think about this. The thought of Predict-O-Matic deliberately steering the future sends a shudder down your spine. But what alternative do you have? The intern isn't suggesting Predict-O-Matic should lie, or bend the truth in any way -- it answers 100% honestly to the best of its ability. But (you realize with a sinking feeling) honesty still leaves a lot of wiggle room, and the consequences of wiggles could be huge.
After a long silence, you meet the interns eyes. "Look. People have to trust Predict-O-Matic. And I don't just mean they have to believe Predict-O-Matic. They're bringing this thing into their homes. They have to trust that Predict-O-Matic is something they should be listening to. We can't build value judgements into this thing! If it ever came out that we had coded a value function into Predict-O-Matic, a value function which selected the very future itself by selecting which predictions to make -- we'd be done for! No matter how honest Predict-O-Matic remained, it would be seen as a manipulator. No matter how beneficent its guiding hand, there are always compromises, downsides, questionable calls. No matter how careful we were to set up its values -- to make them moral, to make them humanitarian, to make them politically correct and broadly appealing -- who are we to choose? No. We'd be done for. They'd hang us....
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