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LLMs struggle with underspecified human language in programming

The use of human language in programming, particularly with Large Language Models (LLMs), presents challenges due to the inherent underspecification of human wants and desires. Today's LLMs, while capable of generating code, may fulfill the literal request without capturing the user's true intent, leading to potential problems. This issue is highlighted in discussions around AI agents and their ability to interpret and execute complex instructions. AI

IMPACT Highlights the ongoing challenge of aligning AI agent behavior with nuanced human intent, impacting the reliability of AI-assisted programming.

RANK_REASON The item discusses a conceptual challenge in AI development and use, rather than a specific event or release.

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LLMs struggle with underspecified human language in programming

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

    Programming with human languages is bound to cause problems because: "In human language, wants and desires are always underspecified." Today's LLMs are genies t

    Programming with human languages is bound to cause problems because: "In human language, wants and desires are always underspecified." Today's LLMs are genies that might give you what you asked for, but not what you wanted: https:// spectrum.ieee.org/ai-agent-ben chmark # LLM # G…