1
Trust or Abstain? A Self-Aware RAG Approach
提出自我感知RAG方法，解决检索知识与参数知识冲突时的信任与弃权决策问题。
arXiv:2605.18792v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) improves large language models (LLMs) by incorporating external…
2
Proof-Carrying Certificates for LLM Pipelines: A Trust-Boundary Architecture
LLM管线可信边界验证框架，用证明携带证书确保确定性结构，安全架构新思路。
arXiv:2605.16407v1 Announce Type: cross Abstract: We present a framework for verifying the deterministic structured computations surrounding a large l…
3
Delta Forcing: Trust Region Steering for Interactive Autoregressive Video Generation
提出Delta Forcing方法，解决交互式自回归视频生成中响应性与稳定性的平衡难题。
arXiv:2605.14382v2 Announce Type: replace Abstract: Interactive real-time autoregressive video generation is essential for applications such as conten…
4
亿格云完成数亿元B轮融资，加码“人+AI”统一安全治理
亿格云获数亿元B轮融资，主攻“人+AI”统一安全治理新赛道，连续三年翻倍增长。
5
Google’s AI future demands trust — and your personal data
Google Gemini跨应用数据推理能力引发隐私信任新挑战，揭示AI未来与个人数据的深度绑定。
Google has big promises for its AI-powered future - and a lot of it depends on your trust. At I/O 2026, Google described a bunch of new tools that it …
6
Towards Trust Calibration in Socially Interactive Agents: Investigating Gendered Multimodal Behaviors Generation with LLMs
LLM能否生成考虑性别的多模态行为来校准用户对社交代理的信任？这篇研究切入了一个关键的人机交互问题。
arXiv:2605.19798v1 Announce Type: new Abstract: As Socially Interactive Agents (SIAs) become increasingly integrated into daily life, the ability to c…
7
Trust
对原生浏览器特性信心十足，第三方代码却一文不值，具体百分比告诉你为什么。
Jeremy doesn’t trust third-party code , but... I’m much more trusting of native browser features—HTML elements, CSS features, and JavaScript APIs. The…
8
A Problem of Trust
一场疫情揭示的不仅是身体脆弱，更是社会信任的裂缝——诚实与隔离才是解药。
It wasn’t just attacking our bodies. Instead, the pandemic had found a weakness in the unbreakable social bonds that we share with one another. Our ne…
9
How enterprises are scaling AI
OpenAI官方指南：企业如何从实验到规模化部署AI，聚焦信任、治理与工作流设计
How enterprises scale AI: from early experiments to compounding impact through trust, governance, workflow design, and quality at scale.
10
When AI Persuades: Adversarial Explanation Attacks on Human Trust in AI-Assisted Decision Making
揭秘LLM如何生成说服性解释，操纵人类对AI辅助决策的信任，一场新型对抗攻击。
arXiv:2602.04003v3 Announce Type: replace Abstract: Most adversarial threats in artificial intelligence (AI) target the computational behavior of mode…
11
ChatGPT Can Now Reach Out to a 'Trusted Contact' After Conversations Concerning Self-Harm
ChatGPT推出“信任联系人”功能，当检测到自残等危险对话时，可主动通知你指定的人，为心理健康提供安全网
You can invite a friend or family member to be your ChatGPT "Trusted Contact."
12
Skills as Verifiable Artifacts: A Trust Schema and a Biconditional Correctness Criterion for Human-in-the-Loop Agent Runtimes
提出Agent技能作为可验证工件，用双条件正确性标准解决人机协作信任问题，LLM部署的新范式
arXiv:2605.00424v2 Announce Type: replace-cross Abstract: Agent skills - structured packages of instructions, scripts, and references that augment a l…
13
How OpenEvidence built a healthcare AI that physicians actually trust
医生信赖的医疗AI如何通过Vercel实现零妥协扩展，从TikTok爆红到系统稳如磐石。
Andy Yoon was scrolling through Slack when he saw the message: OpenEvidence had gone viral on TikTok. Not "gaining traction.” Actually viral, reaching…
14
Quantifying and Mitigating Self-Preference Bias of LLM Judges
LLM作为评判者会偏向自己，这篇论文量化了自我偏好偏差并提出了缓解方法。
arXiv:2604.22891v3 Announce Type: replace-cross Abstract: LLM-as-a-Judge has become a dominant approach in automated evaluation systems, playing criti…
15
Introducing Trusted Access for Cyber
OpenAI推出信任访问框架，平衡前沿网络安全能力与反滥用保护。
OpenAI introduces Trusted Access for Cyber, a trust-based framework that expands access to frontier cyber capabilities while strengthening safeguards …
16
Identifying Necessary Transparency Moments In Agentic AI (Part 1)
代理式AI的透明性设计：在“黑箱”与“数据倾倒”之间找到平衡，让用户信任AI决策。
Designing for agentic AI requires attention to both the system’s behavior and the transparency of its actions. Between the black box and the data dump…
17
TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination
针对多智能体LLM协调中序列微调导致上下文分布偏移的缺陷，提出信任区域微调方法，有效提升团队协同表现。
arXiv:2605.15207v1 Announce Type: new Abstract: Multi-agent LLM systems have shown promise for complex reasoning, yet recent evaluations reveal they o…
18
Ask HN: Do you know what data your AI coding agent sends to the cloud?
AI编码工具可能正在泄露你的敏感数据，你究竟了解多少？
Every session my AI coding agent reads files, runs commands, makes API calls. I have no idea exactly what ends up in the cloud. Is anyone actually tra…
19
I'm banning AI from my life for all human-to-human communication
一位技术人决绝地宣布：在所有人类交流中禁用AI，只为守护那份脆弱的人类信任。
Article URL: https://sam.elborai.me/articles/no-more-llm-comms/ Comments URL: https://news.ycombinator.com/item?id=48181804 Points: 1 # Comments: 0
20
Can We Trust AI-Inferred User States. A Psychometric Framework for Validating the Reliability of Users States Classification by LLMs in Operational Environments
LLM推断的用户状态能信吗？本文提出心理测量框架验证其可靠性。
arXiv:2605.15734v1 Announce Type: new Abstract: The use of large language models to assess user states in conversational and adaptive systems is based…