Bibliography (18):

1. Human Knowledge Compression Contest: FAQ

2. Human Knowledge Compression Contest: Detailed Rules

3. GPT-3: Language Models are Few-Shot Learners

4. GPT-5 Is Here: Our Smartest, Fastest, and Most Useful Model Yet, With Thinking Built In. Available to Everyone

5. Large Text Compression Benchmark

6. https://bellard.org/nncp/

7. NNCP V2: Lossless Data Compression With Transformer § Pg4

8. Abandoning Objectives: Evolution Through the Search for Novelty Alone

9. Wikipedia Bibliography:

   1. Hutter Prize

   2. English Wikipedia

   3. Kolmogorov complexity

   4. Demoscene

   5. Large language model

   6. ArXiv

   7. Wikidata

   8. Knowledge distillation

   9. Ensemble learning

   10. Context mixing

       https://en.wikipedia.org/wiki/Context_mixing