Among the kinds of people, are the Actors, and the Scribes. Actors mainly relate to speech as action that has effects. Scribes mainly relate to speech as a structured arrangement of pointers that have meanings.
I previously described this as a distinction between promise-keeping "Quakers" and impulsive "Actors," but I think this missed a key distinction. There's "telling the truth," and then there's a more specific thing that's more obviously distinct from even Actors who are trying to make honest reports: keeping precisely accurate formal accounts. This leaves out some other types – I'm not exactly sure how it relates to engineers and diplomats, for instance – but I think I have the right names for these two things now.
Everyone agrees that words have meaning; they convey information from the speaker to the listener or reader. That's all they do. So when I used the phrase “words have meanings” to describe one side of a divide between people who use language to report facts, and people who use language to enact roles, was I strawmanning the other side?
I say no. Many common uses of language, including some perfectly legitimate ones, are not well-described by "words have meanings." For instance, people who try to use promises like magic spells to bind their future behavior don't seem to consider the possibility that others might treat their promises as a factual representation of what the future will be like.
Some uses of language do not simply describe objects or events in the world, but are enactive, designed to evoke particular feelings or cause particular actions. Even when speech can only be understood as a description of part of a model of the world, the context in which a sentence is uttered often implies an active intent, so if we only consider the direct meaning of the text, we will miss the most important thing about the sentence.
Some apparent uses of language’s denotative features may in fact be purely enactive. This is possible because humans initially learn language mimetically, and try to copy usage before understanding what it’s for. Primarily denotative language users are likely to assume that structural inconsistencies in speech are errors, when they’re often simply signs that the speech is primarily intended to be enactive. Continue reading →
A parent I know reports (some details anonymized):
Recently we bought my 3-year-old daughter a "behavior chart," in which she can earn stickers for achievements like not throwing tantrums, eating fruits and vegetables, and going to sleep on time. We successfully impressed on her that a major goal each day was to earn as many stickers as possible.
This morning, though, I found her just plastering her entire behavior chart with stickers. She genuinely seemed to think I'd be proud of how many stickers she now had.
The Effective Altruism movement has now entered this extremely cute stage of cognitive development. EA is more than three years old, but institutions age differently than individuals. Continue reading →
The Open Philanthropy Project recently bought a seat on the board of the billion-dollar nonprofit AI research organization OpenAI for $30 million. Some people have said that this was surprisingly cheap, because the price in dollars was such a low share of OpenAI's eventual endowment: 3%.
To the contrary, this seat on OpenAI's board is very expensive, not because the nominal price is high, but precisely because it is so low.
If OpenAI hasn’t extracted a meaningful-to-it amount of money, then it follows that it is getting something other than money out of the deal. The obvious thing it is getting is buy-in for OpenAI as an AI safety and capacity venture. In exchange for a board seat, the Open Philanthropy Project is aligning itself socially with OpenAI, by taking the position of a material supporter of the project. The important thing is mutual validation, and a nominal donation just large enough to neg the other AI safety organizations supported by the Open Philanthropy Project is simply a customary part of the ritual.
By my count, the grant is larger than all the Open Philanthropy Project's other AI safety grants combined.
If there's anything we can do now about the risks of superintelligent AI, then OpenAI makes humanity less safe.
Once upon a time, some good people were worried about the possibility that humanity would figure out how to create a superintelligent AI before they figured out how to tell it what we wanted it to do. If this happened, it could lead to literally destroying humanity and nearly everything we care about. This would be very bad. So they tried to warn people about the problem, and to organize efforts to solve it.
Specifically, they called for work on aligning an AI’s goals with ours - sometimes called the value alignment problem, AI control, friendly AI, or simply AI safety - before rushing ahead to increase the power of AI.
Some other good people listened. They knew they had no relevant technical expertise, but what they did have was a lot of money. So they did the one thing they could do - throw money at the problem, giving it to trusted parties to try to solve the problem. Unfortunately, the money was used to make the problem worse. This is the story of OpenAI. Continue reading →