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# Elegance and intelligence are anticorrelated

**[sean goedecke](https://daily.dev/sources/seangoedecke)** · 4 min read · 1 upvotes · 0 comments

## Summary

Elegance and intelligence can be negatively correlated, the author argues. Highly intelligent people can brute-force problems instead of inventing elegant abstractions, like John von Neumann summing an infinite series instantly instead of using the classic trick. Good engineers who can see the whole thing clearly at a glance tolerate sloppy codebases. The same pattern may explain why AI-generated mathematical proofs look verbose to human mathematicians: a capable LLM can parse a few hundred logical steps without being substantially more challenged than ten. The author warns that AI proofs solving conjectures without generating new ones is a danger, since elegant abstractions often fuel new conjectures, and suggests human 'stupidity' might be a competitive advantage.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://seangoedecke.com/elegance-and-intelligence-are-anticorrelated>

## Questions this post answers

### Why might AI-generated math proofs look more verbose than human-written proofs

A sufficiently intelligent LLM can parse a series of a few hundred logical steps nearly as easily as a series of ten, so it has little incentive to compress reasoning into elegant abstractions the way a human mathematician would. This mirrors how highly intelligent people with large working memory often brute-force problems instead of inventing clever shortcuts, producing correct but inelegant results.

_Developers tracking how AI reasoning differs from human problem-solving can follow this debate on daily.dev._

### Why do some good engineers tolerate working in a messy codebase

Some engineers with very large working memory can hold the whole codebase clearly in mind at a glance, so they never get lost or confused even amid mess, making sloppiness acceptable to them. They can effortlessly visualize a ten or twelve step execution flow to locate what needs changing, reducing their need for elegant decomposition that others rely on.

_Engineers weighing when to refactor versus tolerate mess can compare takes like this on daily.dev._

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---

Tags: [#general-programming](https://daily.dev/tags/general-programming), [#llm](https://daily.dev/tags/llm), [#ai-coding](https://daily.dev/tags/ai-coding)

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