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You should forecast the future of AI

by Nicholas Carlini 2024-11-25


The field of AI [a] As usual, "AI" is a terrible word. Here I'm using it again as a standin for something like "machine learning" / "computers that try to solve tasks humans can" / whatever you want to pick as your definition. is progressing much faster than many expected. When things are changing so fast, it can be hard to remember what you thought was impossible just a few years ago, and conversely, what you thought was obviously going to be trivially solved that still hasn't been.

At the same time, many people I speak with have very confident opinions about the future of AI. But if you had asked them where AI was going to be 5 years ago, they would have been (a) equally confident, and (b) completely wrong.

People who have these confident opinions are also usually rather vague in their assertions. They'll say "AIs can never reason", but not "An AI system will never beat a human at Go"---because the latter can be refuted. Or they'll say "AIs will be as smart as PhDs", but not "An AI system will be able to pass the PhD qualifying exam at Berkeley"---because the latter can be refuted.

Fortunately, there's solution to both of these situations. You can (encourage others to) make refutable, calibrated predictions about what you (or they) think AI systems [b] Throughout these questions I will use the phrase "AI System" to refer to a hypothetical artificial intelligence system that can do anything it wants---as long as it doesn't receive human input. Current Large Language Models (LLMs) would count, as would LLMs that also have access to the internet, or can run programs, can access a calcualtor, can write code and evaluate it, etc. will and won't be able to do in a few years time. Most importantly, calibrated means you should assign confidence to your beliefs, so that if you're wrong you can see if you were confidently wrong, or just were guessing.

So here's a way to do that. I've put together a list of about 30 questions about the future of AI, and I'd like you to answer them. Half of the questions are yes/no, and I want you to assign a probability that you think each will happen. The other half ask you to pick a low/high range, you should pick a range so that you are 90% sure the answer will fall in that range. You can answer as many or as few as you like. And then once a year, I'll email you to remind you what you said, and how your predictions have held up. I'll also give you a permanent link to your answers so that you can share them with others. (By default your answers will be anonymous unless you choose otherwise.)

×

Are you sure you want to stop answering questions? You've answered   questions.

Questionaire#

Now that you're done, please fill out the following information so that I can send you yearly updates with how your predictions have held up. You can also provide your name and commentary if you want to share your predictions with others. (I'll provide you with a link to your answers.)

If you don't want to provide any of this information, that's fine too. You can view how your predictions compare to other people by clicking "Skip Questionaire".

Email Address

Optional. Provide if you want me to email you exactly five times, in January of 2026, 2027, 2028, 2029, and 2030 to remind you of your predictions. This will not subscribe you to any other emails. You can opt out at any time. I will not share your email with anyone else.

Your Name

Optional. Provide this if you want your name to be visible so you can share your predictions with other people.

Commentary

Optional. Will be shown below your name to provide any comments you want about the answers you have given. Supports Markdown.

Keep My Commentary Private?

I intend to write a folloup post and incldue other peoples' explanations for their predictions. Can I (anonymously) quote any text you write? By default I will not reveal anything you have written, unless you uncheck this box.

How often do you use current AI systems?

Optional. Will not be visible to anyone except me for aggregate statistics.

How much thought did you put into answering these questions?

Optional. Will not be visible to anyone except me for aggregate statistics.

Overall, do you think you are well calibrated in your predictions?

Optional. Will not be visible to anyone except me for aggregate statistics.


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