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User explains system representation via compressed graphs for AI communication

By PulseAugur Editorial · [1 sources] ·

The user describes a method of storing and explaining complex systems using compressed graphs, where explanations are generated by navigating between nodes. This approach contrasts with traditional sequential text input, as the AI model only receives the typed sequence and must infer connections for skipped nodes. The user highlights the potential for plausible but incorrect inferences when the model lacks the full graph context. AI

IMPACT This method could influence how users structure information for AI, potentially improving AI's understanding of complex systems by providing explicit graph structures.

RANK_REASON User opinion/method description about AI interaction.

Read on Mastodon — fosstodon.org →

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

User explains system representation via compressed graphs for AI communication

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User opinion/method description about AI interaction.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    I store systems as compressed graphs and explain them by jumping between nodes. The model does not have my graph. It has the sequence I typed. Every node skippe

    I store systems as compressed graphs and explain them by jumping between nodes. The model does not have my graph. It has the sequence I typed. Every node skipped as obvious is absent, and it fills the gap with something plausible. # AI # Prompting # Communication # SystemsThinkin…

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