Yes, but the predictor’s complexity is much lower than 1GB.
The paper also gives an example of a single predictor that can learn to predict any eventually periodic sequence, no matter how long the period.
Predictor should remember what happened. It has learned. Now it’s 1 GB heavy.
It looks like you just dislike the definitions in the paper and want to replace them with your own. I’m not sure there’s any point in arguing about that.
I only stick with the Kolmogorov’s definition.
Yes, but the predictor’s complexity is much lower than 1GB.
The paper also gives an example of a single predictor that can learn to predict any eventually periodic sequence, no matter how long the period.
Predictor should remember what happened. It has learned. Now it’s 1 GB heavy.
It looks like you just dislike the definitions in the paper and want to replace them with your own. I’m not sure there’s any point in arguing about that.
I only stick with the Kolmogorov’s definition.