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Why Your AI Can Write a Novel but Still Struggles to Count to Fifty

This article explores the paradox that LLMs excel at complex tasks but fail at simple counting, attributing it to their probabilistic nature. It introduces research identifying three hallucination types and the KIS protocol to improve accuracy and auditability.

SourceHacker News AIAuthor: odysseyk
Why Your AI Can Write a Novel but Still Struggles to Count to Fifty
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Summary only

Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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EngineersIntermediate

Key points

  • LLMs are prediction engines, not calculators, leading to counting failures.
  • Three hallucination types: confabulation (Gemini 3 Flash), avoidance (GPT-5.3 Instant), and process-opaque (Claude 4.6).
  • The KIS protocol externalizes AI reasoning, achieving 100% accuracy in counting tests.
  • Future AI reliability hinges on auditability, not just accuracy.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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