Metaculus Help: Spread the word
If you like Metaculus, tell your friends! Share this question via Facebook, Twitter, or Reddit.
Hutter prize: when will a compression method achieve 1 bit-per-character on a 100MB sample of Wikipedia?
The Hutter Prize is a 50,000€ Prize for Compressing Human Knowledge. The competition's stated mission is "to encourage development of intelligent compressors/programs as a path to AGI." Since it is argued that Wikipedia is a good indication of the "Human World Knowledge," the prize often benchmarks compression progress of algorithms using the enwik8 dataset, a representative 100MB extract from Wikipedia.
Since 2006, the Hutter Prize has galvanized not only data scientists but also many AI researchers who believe that image/text compression and AI are essentially two sides of the same coin. Compression algorithms are based on the premise of finding patterns in data and are predictive in nature. Furthermore, many machine learning researchers would agree that systems with better predictive models possess more "understanding" and intelligence in general.
The bits-per-character (the number of bits required per character) for compression of enwiki8 is the de-facto measurement unit for Hutter Prize compression progression. In 2016, the state of the art was set at 1.313 bits-per-character using Suprisal-Driven Zoneout, a regularization method for RNN.
In what year will a language model generate sequences with less than 1.0 bits-per-character on the enwik8 dataset?
Resolution occurs when a method achieves less than 1.0 bits-per-character.
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.
This question is not yet open for predictions.
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.
Embed this question
You can use the below code snippet to embed this question on your own webpage. Feel free to change the height and width to suit your needs.