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10月6日周二
  1. The Verge · AI

    OpenAI is adding text watermarking in ChatGPT and Codex

    中文摘要

    一种不可见的、机器可读的水印正在逐步应用于ChatGPT和Codex,但最初仅针对欧盟用户。OpenAI表示,其textGrain水印技术“在匹配或超越”其他方法,如Google DeepMind的SynthID用于文本,而SynthID也是Anthropic在8月宣布的水印技术的基础。与OpenAI一样,Anthropic […]

    英文原文

    An invisible, machine-readable watermark in text output is rolling out to ChatGPT and Codex, but only for users in the European Union at first. OpenAI says its textGrain watermarking "matched or exceeded" other approaches like Google DeepMind's SynthID for text, which is also the basis for the watermarking Anthropic announced in August. Like OpenAI, Anthropic […]

  2. The Decoder

    OpenAI will watermark ChatGPT text in the EU but makes it optional for API users worldwide

    中文摘要

    OpenAI正在欧盟的ChatGPT中添加不可见的文字水印,但与Anthropic不同的是,它允许全球的API客户选择不使用。测试显示,检测率高达95%,当四分之一的词语被替换时,检测率会降至17%。文章《OpenAI将在欧盟为ChatGPT文本添加水印,但全球API用户可选择不使用》最先发表于The Decoder。

    英文原文

    OpenAI is adding invisible textGrain watermarks to ChatGPT in the EU, but unlike Anthropic, it will let API customers worldwide opt out. Tests show detection rates as high as 95 percent, dropping to 17 percent when a quarter of the words are replaced. The article OpenAI will watermark ChatGPT text in the EU but makes it optional for API users worldwide appeared first on The Decoder .

  3. TechCrunch · AI

    Hot Girl Hotline is like ‘Dear Abby’ for the AI era

    中文摘要

    由两位姐妹创立的“Hot Girl Hotline”利用人工智能为年轻女性提供个性化的约会和恋爱建议,强调安全性和避免情感依赖。

    英文原文

    Founded by two sisters, Hot Girl Hotline uses AI to give young women personalized dating and relationship advice, with an emphasis on safety and avoiding emotional dependency.

  4. AWS Machine Learning Blog

    Supercharge regulated workloads with Claude Code and Amazon Bedrock

    中文摘要

    Anthropic Claude Opus 5.5 和 Claude Sonnet 5.5 在 AWS GovCloud(美国)区域的 Amazon Bedrock 上可用。了解如何使用 Claude Code,Anthropic 的代理编码工具,以实现合规对齐的、人工智能辅助的开发,用于受监管和 ITAR 工作负载。

    英文原文

    Anthropic Claude Opus 5.5 and Claude Sonnet 5.5 are available on Amazon Bedrock in the AWS GovCloud (US) Regions. Learn how to use them with Claude Code, Anthropic's agentic coding tool, for compliance-aligned, AI-assisted development on regulated and ITAR workloads.

  5. AWS Machine Learning Blog

    New agent skill: Amazon SageMaker optimized generative AI inference for your coding agent

    中文摘要

    Amazon SageMaker优化的生成式AI推理通过AWS的Agent Toolkit引入了aws-ai-ml技能,使像Kiro、Claude Code和Codex这样的编码代理具备深入的推理优化和基准测试专业知识。描述你想要的内容,你的代理将生成可执行的SageMaker Python SDK v3代码,用于基准测试、推荐和比较部署。

    英文原文

    Amazon SageMaker optimized generative AI inference introduces the aws-ai-ml skill through the Agent Toolkit for AWS, giving coding agents like Kiro, Claude Code, and Codex deep expertise in inference optimization and benchmarking. Describe what you want, and your agent generates executable SageMaker Python SDK v3 code to benchmark, recommend, and compare deployments.

  6. The Verge · AI

    OpenAI PR tells journalist to ‘move on’ while asking Sam Altman about a ChatGPT user’s suicide

    中文摘要

    一位来自OpenAI的公关人员在《名利场》杂志记者马克·吉迪奇(Mark Guiducci)提及一名ChatGPT用户自杀事件后,试图转移CEO山姆·阿尔特曼(Sam Altman)采访的话题。当吉迪奇向阿尔特曼提及该事件时,这位公关人员警告吉迪奇时间不多了,表示她希望“继续讨论”其他话题。这次打断发生……

    英文原文

    An OpenAI publicist tried to change the topic of CEO Sam Altman's interview with Vanity Fair's Mark Guiducci after the editor brought up a ChatGPT user's suicide. When Guiducci confronted Altman about the incident, the publicist warned Guiducci about running out of time, saying she'd like to "move on" to another topic. The interruption came […]

  7. The Verge · AI

    Sam Altman says ‘some bad things’ will happen, but AI is totally worth it

    中文摘要

    山姆·阿尔特曼认为,人工智能的好处将如此巨大,以至于“世界应该接受在过程中发生一些坏事”。OpenAI首席执行官指出,黑客攻击、诈骗和“其他坏事”是社会应该预期并容忍的代价,因为“人们将用人工智能做大量数量级更多的好事”,[...]

    英文原文

    Sam Altman thinks that the benefits of AI will be so great that "the world should accept some bad things happening" along the way. The OpenAI CEO pointed to hacks, scams, and "other bad things" as costs society should expect to tolerate because "people will do tremendously orders of magnitude more good stuff" with AI, […]

  8. The Decoder

    Most Americans want AI development to slow down or stop entirely, new poll finds

    中文摘要

    根据奎尼皮亚大学的一项民意调查,77%的美国人希望在确认人工智能的安全性之前放慢或停止其发展。86%的人支持独立的安全标准,74%的人对人工智能公司的领导人缺乏信任或几乎没有信任。研究人员杰坦·贾伊萨瓦尔表示:“公众希望有保障措施,而这些措施并不只是简单地相信公司领导人的承诺。” 《大多数美国人希望放慢或完全停止人工智能的发展,新民调发现》一文首先发表于《解码器》网站。

    英文原文

    According to a Quinnipiac University poll, 77 percent of Americans want to slow down or stop AI development until its safety has been verified. 86 percent support independent safety standards, and 74 percent have little or no trust in AI company leaders. "[…] the public wants safeguards that do not depend simply on taking company leaders at their word," said researcher Chetan Jaiswal. The article Most Americans want AI development to slow down or stop entirely, new poll finds appeared first on The Decoder .

  9. The Decoder

    Anthropic is quietly becoming America's biggest corporate donor ahead of its mega IPO

    中文摘要

    仅在2025年,Anthropic的员工就捐赠了5.4亿美元,几乎是第二大《财富》500强捐赠者捐赠金额的五倍,这要归功于一项公司计划,该计划会为每笔股票捐赠额外增加股份,并将早期员工的捐款金额翻三倍。文章《Anthropic在超级IPO之前悄然成为美国最大的企业捐赠者》首先发布于The Decoder。

    英文原文

    Anthropic employees donated $540 million in 2025 alone, nearly five times as much as the next-largest Fortune 500 donors, thanks to a company program that tops up every stock donation with extra shares and triples contributions from early employees. The article Anthropic is quietly becoming America's biggest corporate donor ahead of its mega IPO appeared first on The Decoder .

10月5日周一
  1. GitHub Blog · AI & ML

    ReviewBench: An open benchmark for AI code review

    中文摘要

    我们推出了ReviewBench,这是一个基于具有代表性的GitHub拉取请求、多源真实数据、校准评估和与生产环境对齐的指标的代码审查代理基准。文章《ReviewBench:一个开放的AI代码审查基准》首先发布在GitHub博客上。

    英文原文

    We’re launching ReviewBench, a benchmark for code review agents built on representative GitHub pull requests, multi-source ground truth, calibrated evaluation, and production-aligned metrics. The post ReviewBench: An open benchmark for AI code review appeared first on The GitHub Blog .

  2. AWS Machine Learning Blog

    Making Amazon Quick enterprise-ready: Automated, auditable cross-account resource promotion

    中文摘要

    将 Amazon Quick 的资源(代理、操作连接器、知识库、流程和空间)从开发环境推广到生产环境 AWS 账户一直是一个手动且容易出错的过程。本文展示了如何通过在 Amazon Bedrock AgentCore 上使用可重复、可审计的 MCP 服务器来实现跨账户的自动化推广。

    英文原文

    Promoting Amazon Quick resources (agents, action connectors, knowledge bases, flows, and spaces) from a development to a production AWS account has been a manual, error-prone chore. This post shows how to automate cross-account promotion with an idempotent, auditable MCP server on Amazon Bedrock AgentCore.

  3. AWS Machine Learning Blog

    Agentic retrieval with LangChain and Amazon Bedrock Knowledge Bases

    中文摘要

    在 Amazon Bedrock 受管理的知识库上构建一个检索增强生成(RAG)应用程序,使用 LangChain,并查看代理检索如何处理单次检索回答不好的多部分问题。通过两种路径运行相同的查询,阅读跟踪事件,并比较每种检索路径的成本。

    英文原文

    Build a Retrieval Augmented Generation (RAG) application on Amazon Bedrock Managed Knowledge Base with LangChain, and see how agentic retrieval handles the multi-part questions that single-shot retrieval answers poorly. Run the same query through both paths, read the trace events, and compare what each retrieval path costs.

  4. AWS Machine Learning Blog

    Downgrading user roles in Amazon Quick

    中文摘要

    Amazon Quick 并没有直接的控制台路径将用户从管理员或作者降级为读者。本文将介绍两种可靠的方法:一种是手动删除并重新创建的方法,另一种是使用 AWS CLI 的降级步骤,该步骤可以安全地降级角色,同时保留资产的所有权。

    英文原文

    Amazon Quick doesn't offer a direct console path to downgrade a user from Admin or Author to Reader. This post walks through two reliable methods: a manual delete-and-recreate approach and an AWS CLI step-down sequence that downgrades roles safely while preserving asset ownership.

  5. AWS Machine Learning Blog

    Evaluating multi-agent systems for explainability and helpfulness with Amazon Bedrock AgentCore

    中文摘要

    多智能体系统需要比流畅响应更深入的保障:它们必须选择正确的工具,遵守约束条件,并解释其决策。了解如何构建基于Strands的多智能体供应链决策系统,并使用Amazon Bedrock AgentCore评估,通过内置、自定义和可解释性评估器对其进行评估。

    英文原文

    Multi-agent systems need deeper guarantees than fluent responses: they must select the right tools, respect constraints, and explain their decisions. Learn how to build a Strands-based multi-agent supply chain decisioning system and evaluate it with Amazon Bedrock AgentCore Evaluations using built-in, custom, and explainability evaluators.

  6. MIT Technology Review · AI

    Connecting AI agents to enterprise knowledge

    中文摘要

    尽管人工智能系统不断积累和分析大量数据,企业人工智能代理通常存在一个奇怪的缺陷:缺乏知识。比起数据,知识是指对数据在单个组织背景中意义的理解。人工智能代理需要这种理解,才能对情况做出推理、做出决策,最终……

    英文原文

    For all the data that AI systems continually amass and analyze, enterprise AI agents often suffer from a curious shortcoming: a lack of knowledge. More than data, knowledge is the understanding of what the data means in the context of individual organizations. AI agents need this understanding to reason about situations, make decisions, and ultimately…

  7. TechCrunch · AI

    Open or closed AI? How founders are choosing what to build on at TechCrunch Disrupt 2026

    中文摘要

    了解创始人如何在开放或封闭的AI平台上进行选择,敬请关注2026年TechCrunch Disrupt大会。现在立即注册,最高可节省100美元,并以50%的折扣获得第二次入场机会。

    英文原文

    Learn how founders are choosing between building on open or closed AI at TechCrunch Disrupt 2026. Register now to save up to $100 and get a second pass at 50% off.

  8. OpenAI News

    Our approach to EU text provenance rules

    中文摘要

    OpenAI 如何在欧盟规则下进行文本水印处理。了解水印适用的范围、检测是如何工作的,以及为什么访问权限从研究人员开始。

    英文原文

    How OpenAI is approaching text watermarking under EU rules. Learn where watermarks apply, how detection works, and why access starts with researchers.

  9. TechCrunch · AI

    Researchers are tracking a Chinese AI ‘agent fleet’

    中文摘要

    独立研究人员发现了一种代理群,似乎运行在腾讯的基础设施上,并针对阿里巴巴的地图服务“高德地图”。

    英文原文

    Independent researchers discovered an agent swarm that seems to be running on Tencent's infrastructure and targeting Alibaba's map service, Amap.