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Your brain on AI
用AI帮你快速验证新闻真伪，但别忘了保留独立判断。Perplexity AI提供实时信息检索与来源引用，边查边学，适合对抗假新闻。
Many people find AI-based chatbots helpful in keeping up with news, but a study by Pattie Maes and her colleagues at the MIT Media Lab points to a big…
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RAG Collapse: LLM Responses Collapse When Retrieved Documents Are Self-Authored
当检索到的文档竟出自AI自己之手，大模型回答会逐步退化崩塌，这份研究揭开了RAG系统被自身输出污染的风险。
arXiv:2608.22118v1 Announce Type: new Abstract: LLM responses are based on the internet (via training or RAG), and AI is now used to generate a signif…
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Teaching LLMs How ICU Physicians Approach Clinical Reasoning Through OMOP-Aligned Retrieval Improves Reasoning Across Clinical Domains
用ICU医生的临床推理范式训练LLM检索，OMOP对齐让AI在跨医疗领域的推理能力显著提升。
arXiv:2608.22622v1 Announce Type: cross Abstract: Clinical decision-making relies on identifying relevant patient information to guide diagnosis and t…
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RAG vs. Fine-Tuning: The AI Engineer's Decision Framework
RAG与微调如何选？一文给出AI工程师的决策框架，帮你告别盲目调参，精准落地生成式AI应用。
The Senior Engineer’s Decision Framework: RAG vs. Fine-Tuning For many engineering teams, the journey into Large Language Models (LLMs) often begins w…
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Give Your AI Agent a Scientist's Library. a Science MCP Server
让AI代理深入科学文献方法细节，科学MCP服务器补齐摘要之外的宝藏信息。
Most "research agent" demos are searching abstracts and calling it literature review. The abstract tells you a Phase 3 melanoma immunotherapy trial hi…
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Temporal Validity on Real Software Histories: Eliminating Stale-Fact Errors in Code-Assistant Memory over GitHub Fixes
代码助手RAG分不清新旧事实？这篇研究用真实软件历史消除陈旧事实错误，直击AI记忆的时间盲区。
arXiv:2608.20685v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) has no model of time: when a fact changes across a coding sessi…
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Show HN: Structural code grep across public GitHub repositories
用AST模式语法跨GitHub海量仓库做结构化代码搜索，找模式快人一步。
Codemod grep searches public code by syntax and structure, not just text or regex. Use ast-grep patterns to find code by shape across repositories. Co…
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How we cut repo-wide symbol indexing for LLM agents from 30s to 98ms
仓库符号索引从30秒降至98ms的实战优化，让LLM代理秒懂代码库
How we cut repo-wide symbol indexing for LLM agents from 30s to 98ms If your coding agent has ever stalled for tens of seconds on "what's in this repo…
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Leveraging Association Context Retrieval in Knowledge Edit- ing to Build White-Box Attacks on LLMs
利用知识编辑的关联上下文检索，暴露大模型白盒攻击新路径，安全研究员不容错过的前沿论文。
arXiv:2608.17836v1 Announce Type: new Abstract: As large language models (LLMs) are granted increasing autonomy, it is essential to investigate method…
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Turbovec – Google's TurboQuant for vector search in Rust
内存压缩8倍还比FAISS快，免训练免调参的Rust向量索引，值得一试
Article URL: https://github.com/RyanCodrai/turbovec Comments URL: https://news.ycombinator.com/item?id=49349898 Points: 289 # Comments: 34
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Judge, Retrieve, or Abstain: Uncertainty-Guarded LLM Judging with Provable Risk Guarantees
给LLM判卷装上“安全气囊”：不确定时检索或弃权，还带可证明风险保证。
arXiv:2608.17994v1 Announce Type: new Abstract: Using LLMs as judges has become standard practice for evaluating model outputs at scale. This is parti…
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DynamoDB Now Does Vector Search
DynamoDB原生向量搜索上线，单毫秒级延迟+万亿规模，传统向量库要变天？
Originally published on Build With AWS . Subscribe for weekly AWS builds. On August 5, 2026, AWS made vector search generally available in Amazon Dyna…
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Artificial Analysis: LLM search API providers
Artificial Analysis推出LLM搜索API对比评测，900个任务F1打分，帮你挑选最佳检索模型。
Article URL: https://artificialanalysis.ai/agents/search-api Comments URL: https://news.ycombinator.com/item?id=49359449 Points: 1 # Comments: 0
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Do AI chatbots find what experts would? Effects of model, user role, and sample size on study retrieval for medical questions
AI聊天机器人检索医学研究，能否媲美专家？模型、用户角色与样本量的影响一探究竟。
arXiv:2608.13786v1 Announce Type: cross Abstract: Large language model (LLM) chatbots are increasingly used to answer clinical questions with citation…
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AI/ML Research Digest — Aug 02, 2026
AI研究速览：聚焦评估污染与检索扩展，一窥模型评测新盲区。
Reliable provenance and graded trust Explicit reliability modeling cuts hallucination. Σ‑Mem stores symmetric competence states for peer agents, while…
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Privacy-Preserving RAG by Concealing Sensitive Information from External LLMs
当RAG遇上敏感数据，这篇论文直击“外部LLM偷看隐私”的盲区，提出隐藏敏感信息的新方案。
arXiv:2608.12675v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) is widely used to improve the performance of Large Language Model…
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Show HN: Referee.Chat - Set the goal. An AI panel works. Referee clears it done
设定目标，AI评审团分工协作，实时查证文献并核对数字，让结果可追溯、可验证。
Article URL: https://referee.chat/ Comments URL: https://news.ycombinator.com/item?id=49293191 Points: 3 # Comments: 0
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TraVEL: Trajectory-Guided Video Embedding Learning for Driving-Video Retrieval
用车辆轨迹引导视频嵌入学习，一举提升驾驶视频检索精度。
arXiv:2608.13495v1 Announce Type: cross Abstract: Efficiently retrieving relevant clips from large-scale driving logs is essential for data curation, …
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Show HN: RAGless – similar to RAG, but $0 LLM API costs at runtime
类似RAG但运行时零LLM成本，开源项目，让AI应用摆脱API费用。
Article URL: https://github.com/EmilResearch/RAGless Comments URL: https://news.ycombinator.com/item?id=49296595 Points: 2 # Comments: 2
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LLM Agents Factory: Retrieval of Domain-Specific LLM Agents
当AI代理多到找不着，这家“工厂”专治选择困难，精准检索领域专属智能体。
arXiv:2608.09934v1 Announce Type: new Abstract: Large language model (LLM) agents improve task performance by decomposing problems into role-specializ…