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description: EsoLang-Bench is a new benchmark of 80 programming problems across five esoteric languages (Brainfuck, Befunge-98, Whitespace, Unlambda, and Shakespeare)...
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og:description: EsoLang-Bench is a new benchmark of 80 programming problems across five esoteric languages (Brainfuck, Befunge-98, Whitespace, Unlambda, and Shakespeare)...
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> ## Documentation Index
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# EsoLang-Bench: Evaluating LLMs via Esoteric Programming Languages

**[Hacker News](https://daily.dev/sources/hn)** · 5 min read · 1 upvotes · 0 comments

## Summary

EsoLang-Bench is a new benchmark of 80 programming problems across five esoteric languages (Brainfuck, Befunge-98, Whitespace, Unlambda, and Shakespeare) designed to test genuine reasoning in LLMs rather than memorization. Training data for these languages is 5,000–100,000x scarcer than Python. Frontier models that score ~90% on standard Python benchmarks collapse to single-digit accuracy here, with the best model achieving only 3.8% overall. All models score 0% on Medium difficulty and above, and Whitespace remains completely unsolved. Few-shot prompting offers no improvement over zero-shot, suggesting standard benchmark success reflects training data memorization. Tool-augmented agentic systems (Codex, Claude Code) achieve roughly 2× the accuracy of prompting-only approaches via execution feedback loops, but still fall far short of mainstream language performance.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://esolang-bench.vercel.app/>

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