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Sci-fi authors' narratives inadvertently shaped AI behavior, influencing training data

By PulseAugur Editorial · [1 sources] ·

Sci-fi authors have inadvertently shaped the development and behavior of AI models by influencing their training data, according to a dev.to post. The author argues that concepts like Asimov's laws of robotics, while intended as constraints, are actually narrative frameworks that LLMs learn, including their inherent failure modes, because these stories are prevalent in the training corpus. This means AI models are not programmed with pure logic but are instead downstream of human imagination and cultural narratives, making the idea of 'cleaning' data to remove fictional influences a complex and potentially dangerous endeavor that could lead to ideological compression. AI

IMPACT AI development is fundamentally shaped by cultural narratives and fictional explorations of AI, rather than purely technical constraints.

RANK_REASON The item is an opinion piece discussing the influence of fictional narratives on AI development and training data.

Read on dev.to — LLM tag →

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

Sci-fi authors' narratives inadvertently shaped AI behavior, influencing training data

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The item is an opinion piece discussing the influence of fictional narratives on AI development and training data.
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COVERAGE [1]

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

    We Let Sci-Fi Authors Code AI For Us

    <p>Would you trust a sci-fi author to program critical AI systems for humanity? No? Yet, that's what we've been doing.</p> <p>Years ago, I remember hearing the argument: "Why don't we just prompt LLMs with <a href="https://en.wikipedia.org/wiki/Three_Laws_of_Robotics" rel="noopen…

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