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Developer's AI-like generator discards 99.7% of outputs

A developer created a cryptarithmetic puzzle generator in Go that achieves a 99.7% rejection rate, discarding most generated puzzles. The design intentionally separates puzzle generation from verification, with the generator producing plausible but unverified candidates and a separate verifier ensuring correctness and uniqueness. This approach prioritizes a fast, simple generator and a robust verifier, as the computational cost of verification is negligible compared to the time saved by not making the generator overly complex. AI

IMPACT Illustrates a design pattern where a simple generator paired with a robust verifier can be efficient, a concept applicable to AI systems that require strict validation.

RANK_REASON The item is a developer's personal reflection and technical explanation of a puzzle generator's design, not a release or significant industry event.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer's AI-like generator discards 99.7% of outputs

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The item is a developer's personal reflection and technical explanation of a puzzle generator's design, not a release or significant industry event.
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · hidetzu ·

    99.7% Rejected in 84ms: Why I Stopped Making the Generator Smarter

    <p>I wrote a puzzle generator whose acceptance rate is <strong>0.26%</strong>. It throws away 99.7% of everything it produces, and that is the design working as intended, not failing. Generating five valid puzzles takes 1,947 attempts and 84 milliseconds.</p> <p>The point is not …