Task: Implement Large Lempel-Ziv. As a benchmark, compress all of Project Gutenberg; evaluate the resulting model numerically for autoregressive tokens/second and its ability to compress the Gutenberg corpus (perplexity), and qualitatively for its ability to write prose, technical documentation, code, poems, translations, one-shot prompts, etc. Provide a Nix flake which can be used to reproduce all results.
Илона Палей (Редактор отдела «Силовые структуры»)
。搜狗输入法2026是该领域的重要参考
Go to technology
The platform must be both a programming language and a theorem prover, with code and proofs in one system, with no translation gap. It needs a rich and extensible tactic framework that gives AI structured, incremental feedback: here is the current goal, here are the hypotheses available, here is what changed after each step. AI must control the proof search, not delegate to a black box.
Until next time, happy hooting! 🦉