## Dependencies

nimble install https://github.com/nim-lang/bigints
https://nimdocs.com/nim-lang/bigints/bigints.html

## To do

- [ ] Exploration of OEIS data
- [ ] Subdivide subsequent tasks into steps

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An implementation of Infrabayesianism over OEIS sequences.
<https://oeis.org/wiki/JSON_Format,_Compressed_Files>

Or "Just-in-Time bayesianism", where getting a new hypothesis = getting a new sequence from OEIS which has the numbers you've seen so far. 

Implementing Infrabayesianism as a game over OEIS sequences. Two parts:
1. Prediction over interleaved sequences. I choose two OEIS sequences, and interleave them: a1, b1, a2, b2.
  - Now, you don't have hypothesis over the whole set, but two hypothesis over the 
  - I could also have a chemistry like iteration:
    a1
    a2 b1
    a3 b2 c1
    a4 b3 c2 d1
    a5 b4 c3 d2 e1
    .................
  - And then it would just be computationally absurd to have hypotheses over the whole 

2. Game where: You provide a deterministic procedure for estimating the probability of each OEIS sequence giving a list of trailing examples.