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AI NY Times Best Seller before 2030
A statistical language model is a probability distribution over sequences of words.
The New York Times Best Seller list is,
widely considered the preeminent list of best-selling books in the United States. It has been published weekly in The New York Times Book Review since October 12, 1931. In the 21st century, it has evolved into multiple lists, grouped by genre and format, including fiction and non-fiction, hardcover, paperback and electronic.
Will a book written by a language model make the NY Times Best Seller list before 2030?
A book is said to have been written by a language model if a language model wrote at least 99% of the text contained in the main section in the book, excluding a potential foreword, copyright notice, table of contents, and other non-essential book sections. The main text must also contain at least 20,000 words. Stylistic edits by humans are allowed if they do not change the basic semantic meaning of any sentence, or they merely correct basic spelling, grammatical, or formatting mistakes. Admins will use their discretion, in consultation with the community, to determine whether any candidate book meets the spirit of these conditions.
This question resolves positively if the above conditions are met before 2030, and negatively otherwise.
Metaculus help: Predicting
Predictions are the heart of Metaculus. Predicting is how you contribute to the wisdom of the crowd, and how you earn points and build up your personal Metaculus track record.
The basics of predicting are very simple: move the slider to best match the likelihood of the outcome, and click predict. You can predict as often as you want, and you're encouraged to change your mind when new information becomes available.
The displayed score is split into current points and total points. Current points show how much your prediction is worth now, whereas total points show the combined worth of all of your predictions over the lifetime of the question. The scoring details are available on the FAQ.
Note: this question resolved before its original close time. All of your predictions came after the resolution, so you did not gain (or lose) any points for it.
Note: this question resolved before its original close time. You earned points up until the question resolution, but not afterwards.
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Metaculus help: Community Stats
Use the community stats to get a better sense of the community consensus (or lack thereof) for this question. Sometimes people have wildly different ideas about the likely outcomes, and sometimes people are in close agreement. There are even times when the community seems very certain of uncertainty, like when everyone agrees that event is only 50% likely to happen.
When you make a prediction, check the community stats to see where you land. If your prediction is an outlier, might there be something you're overlooking that others have seen? Or do you have special insight that others are lacking? Either way, it might be a good idea to join the discussion in the comments.