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Does anyone find AI code review useful?
AI生成代码动辄千行，人工审查还有意义吗？一场关于人机协作边界的现实拷问。
I’m genuinely trying to understand the point of AI code review. Once an LLM generated change gets into a few hundreds or thousands of lines, a human r…
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AI 时代的沃尔玛零售员工有了新职责：帮智能体“纠错”
零售员工转行给AI“纠错”，沃尔玛揭示智能体落地的新难题：人工兜底谁来买单？
IT之家 8 月 18 日消息，据《商业内幕》今天（18 日）报道，对沃尔玛零售员工来说，替别人收拾残局原本就是工作的一部分：货架积灰了要擦，液体洒了要清理，展示柜留下污迹也得处理。最近，需要他们帮忙纠正的，又多了 AI 智能体犯下的错误 。 为了推动业务增长，沃尔玛正大举投入 AI，并向数千名前线…
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Show HN: Zeroparams, a coding agent with zero parameters because it's just me
没有LLM的编程代理？真人在VSCode里远程接管，一场关于AI身份的解构行为艺术。
I made an OpenAI-compatible coding agent without an LLM. I hooked up a custom VSCode extension in place of the model, so when someone makes a completi…
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Musical Mirrors: The LLM as Sounding Board in Songwriting
颠覆AI创作常规，让大模型当人声共鸣板，一场人机共创的歌曲实验。
arXiv:2608.13944v1 Announce Type: cross Abstract: This paper examines a use of AI in creative practice as an interpretive sounding board for human-gen…
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The next AI interface may not be a chatbot
别再让AI困在对话框里——这篇深度文章揭示下一代界面如何重塑人机交互，值得每个AI产品人细读。
Article URL: https://hajek.no/posts/2026/next-ai-interface-not-chatbot Comments URL: https://news.ycombinator.com/item?id=49281202 Points: 1 # Comment…
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Better Together: Quantifying the Benefits of AI-Assisted Recruitment
AI与人类招聘官协作效率究竟如何？这项研究用数据量化了人机协同的招聘收益，为HR决策提供实证依据。
arXiv:2507.08029v2 Announce Type: replace Abstract: Hiring algorithms have mostly scored the materials recruiters already see. Large language models (…
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Clinician input steers AI toward accurate and harmful recommendations
临床医生反馈竟能同时提升AI建议的准确性与危害性，这项研究揭开人机协作的隐秘风险。
arXiv:2603.14158v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are entering clinical workflows, yet evaluations rarely assess …
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ArtAnno: Annotating Implicit Semantics in Artworks through LLM Agent-Driven Bidirectional Human-AI Augmentation
用AI智能体给艺术品标注隐性语义，开启人机双向增强新范式。
arXiv:2608.05026v1 Announce Type: cross Abstract: High-quality annotation of artworks is essential for computational art research, yet extracting impl…
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Human-LLM Collaborative Inductive Coding for Conceptualizing K-12 Educator AI Use
人机协作编码新范式，带你透视K-12教师AI使用情境，教育研究必备。
arXiv:2607.28889v1 Announce Type: cross Abstract: Qualitative researchers increasingly encounter interaction corpora whose scale exceeds what manual c…
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How AI is expanding what people do at work
OpenAI最新报告揭示AI正把工作重心从执行转向创造，重新定义职场角色与价值。
Article URL: https://openai.com/index/how-ai-is-expanding-what-people-do-at-work/ Comments URL: https://news.ycombinator.com/item?id=49148630 Points: …
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Human-in-the-Loop Agentic DevOps: Govern AI Automation in GitHub Issues
AI代理自动化GitHub Issues时权限如何控？人机协作治理方案来了！
Human-in-the-Loop Agentic DevOps: Govern AI Automation in GitHub Issues The biggest question in agentic DevOps is no longer, "Can an AI agent automate…
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pAI-Econ-claude: A Gated Human-in-the-Loop Multi-Agent Architecture for AI-Assisted Economic Theory Development
多智能体与人类协同，门控架构助力经济理论创新——让AI成为经济学家的得力助手。
arXiv:2607.21268v1 Announce Type: cross Abstract: In many social-science research tasks, such as economics, LLM-based agents must produce outputs for …
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Detecting LLM-Generated Tokens in Human--LLM Coauthored Text
精准定位人机协作文本中AI生成的词元，突破文档级分类局限。
arXiv:2607.21458v1 Announce Type: new Abstract: The rise of human-AI collaborative writing has created a growing need for fine-grained detection metho…
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Claude Opus vs GPT Codex: Who Drives and Who Gets Driven in Real Incident Response
AI模型实战对决：一个主动驾驶，一个需要反复指点，真实事件响应中的差距一目了然
In the world of AI-assisted operations, the difference between a model that drives and one that gets driven can mean hours of sleep lost at 2 AM. A re…
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Early Adoption of Agentic Coding Tools by GitHub Projects
从学术视角揭示GitHub项目如何采纳AI代理工具生成PR，探索人机协作新范式。
arXiv:2607.14037v1 Announce Type: cross Abstract: Agentic coding tools are increasingly capable of generating and submitting pull requests (PRs) to so…
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Learning social norms enhances compatibility in dynamic human-AI coordination
让AI学会人类社会的潜规则，动态合作不再鸡同鸭讲
arXiv:2607.07021v1 Announce Type: new Abstract: Humans continuously coordinate with others in dynamic interactions, often through implicit, hard-to-qu…
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Learning When to Automate: Queue Control in Human-AI Service Systems
一篇探讨人机服务系统中何时自动化的研究论文，为智能排队控制提供理论框架与学习算法
arXiv:2607.06017v1 Announce Type: new Abstract: We study a human-AI service system in which tasks arrive sequentially and are processed through a two-…
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Human-Centric Reflective Architecture for Human-AI Collaborative Decision-Making
提出以人为本的反思架构，让人机协作决策更透明可信。
arXiv:2607.03025v1 Announce Type: new Abstract: The use of Large Language Models (LLMs) across diverse areas of human activity-ranging from everyday t…
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ProACT: Towards Breakdown-Aware Proactive Agent in Multi-User Collaboration
多用户协作中AI代理如何预判协作中断？ProACT提出主动感知框架，让智能体更懂团队节奏。
arXiv:2607.03730v1 Announce Type: new Abstract: Conversational agents are increasingly embedded in human collaborative work, yet they remain fundament…