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Growing Concerns Over AI Code Quality and Security

The feed has recently focused heavily on the advancements of AI agents and the new challenges they introduce to software development. There is a noticeable technical effort to ensure output reliability, seen in tools like 'depgraph' for detecting latent code debt from AI-generated code or the use of adaptive ensemble methods (COVE) for pre-validating LLM outputs. Furthermore, alongside predictions that AI agents will evolve to autonomously manage aspects of human life, there is a concurrent warning about escalating security risks and infrastructure vulnerabilities, indicating significant uncertainty.

4,410 articles · 164 source sites

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As of Nov 4, 2026, 11:36 PM UTC

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arXivOctober 26, 2026

The Language of Instruction: Genre and Generative AI

English summary not available yet. You can still read the original source.

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본 논문은 지시(instruction)-미세 조정된 언어 모델이 '지시적 대화 장르'를 구현한다고 주장합니다. 이 장르는 생성형 모델과 인간 간의 이전 대화가 재귀적으로 혼합된 담론적 언어입니다. 이는 시스템 프롬프트, 특수 토큰 사용 등 마크업 언어를 통한 입력 형식화를 통해 구현됩니다.

instruction-tuning
llm
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Insights

What’s emerging

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Growing Concerns Over AI Code Quality and Security

Follow the feed

What’s emerging

Today’s trends

This week’s trends

Growing Concerns Over AI Code Quality and Security

The Language of Instruction: Genre and Generative AI

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