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threats; Continuous monitoring: As the model reasons and writes its response across multiple steps, we combine these signals and take action when necessary such as cutting off the agent mid-stream if the responses become problematic Combining real-time protection, faster fixes for new jailbreaks and enhanced monitoring for recurring misuse has made our systems better at preventing real-world harm. For instance, external bio jailbreak red teaming could only unlock less than 1% of bio sub-tasks we

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Personal AI agents are increasingly making transactions on their users’ behalf, but given the nondeterministic nature of large language models, AI bots are prone to doing what they’re not supposed to. Which, in this case, raises the possibility of AI misfiring and making unauthorized transactions. To get ahead of this problem, American Express is introducing a new framework designed to capture and authenticate a customer’s purchase intent before an AI agent completes the transaction. The idea is

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With The X Subscription, users can gain access to Grok for AI-powered chat, with support for voice, images, video, and the API. Grok’s agentic AI Bot is also available, as is Cursor for AI coding and the paid features that come with an X Premium subscription, like the blue verified checkmark, creator tools, and fewer ads. There are five plans available on the new subscription: free, Plus ($8/month), Premium ($30/month), Super ($100/month), and Ultra ($200/month), with AI usage caps increasing as

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and Cowork. By the end of the year, the chip is also expected to power GitHub Copilot and Microsoft Foundry, a platform for developing, deploying, and managing AI applications and agents, according to Guthrie’s blog post. Maia 300, which Microsoft said will be deployed in production in 2027, is designed with an inference-first architecture optimized “for long-context, memory-intensive, and decode-heavy AI workloads,” according to the blog post. The company said the chip is expected to deliver 40

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personalized AI assistants that consumers rely on for everyday tasks. Tech giants are preparing for a potential future in which people get things done by speaking or typing to AI agent rather than by operating apps and websites. Meta recently launched its Muse personal assistant, along with a new slate of smart glasses designed to give users easier access to its new AI helper. OpenAI is also developing several hardware gadgets. Apple is betting that its focus on privacy and the fact that consum

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负责，显式、可审查 · 语义判断环节：Jev 负责，返回概率分布，不生成文本 · 分数计算环节：DeepEval 固定公式负责，有确定性 三种决策类型 · Noul（命题真假）：二元命题返回 P(true)，适合清单式检查，如“回答中每个事实都来自工具输出”； · Score（有序等级）：如“全编造 → 大部分编造 → 大部分有据 → 全部有据”，返回各等级概率后取期望位置归一化，保留相邻等级间的不确定性； · Choice（无序行为选择）：给每个选项赋 0–1 的 credit，支持“不适用”（概率 ≥50% 时该题不计分），这是很实用的设计，避免因问题不适用而惩罚被评对象。 典型应用：Agent 评估 以 Tool Faithfulness 举例：天气工具返回 18°C、晴天，但 agent 的回答额外编造了“微风、湿度 40%”。传统裁判只能给个含糊的总分；JevEval 把它拆成四个显式问题，事实是否都来自工具（权重 2，因为幻觉是最重要的失败模式）、数值是否转述准确、整体有据程度、如何处理工具未提供的信息。权重和优先级写在代码里，而不是隐含在提示词中，这正是它最大的工程价值。

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writes. Decision models now get a 1M-token window, and they take images too. ScaleDown released 3 small models (Classify, Extract, Summarize) for the simple, repetitive jobs that agents usually hand to an expensive LLM. 200x faster and 467x cheaper than frontier LLM APIs. $0.05 per million input tokens, and output is free. The bigger change is that the same design now covers classify, extract and summarize. The difference with regular LLMs is that these models don’t write their answer token by

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This is how we built the filesystem behind Perplexity Projects as a Git forge for agents. Each agent works in its own sandbox and commits to a shared repository where people and other agents can build on its work across sessions.

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ld models continue to evolve, we see a future where: Worlds are generated as easily as words and images; Spatial intelligence becomes a shared layer across creative tools and physical AI systems; Humans and agents can reason, interact, and collaborate inside generated spaces The World API is our first step toward making that future programmable, and it's available today. Accelerating the future of AI research and compute September 28, 2026 To Seek a Newer World Our journey from World Labs to AMD

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In our functional taxonomy of world models, spanning renderers, simulators, and planners, we argued that the simulator is the linchpin because it turns a world into a place where agents can act, learn, and be evaluated. The work we share here puts that argument to the test. Indeed, some of the most successful L3 or L4-level self-driving cars running on the road today are powered by models trained using both real-world driving and simulation data. Furthermore, many aircraft, rockets, drones, or

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eo 搭载智能体原生操作系统 Step AOS 1.0 ，宣称从零为智能体打造，将长期记忆、任务调度和安全机制融入系统底层。双入口界面设计让用户能随时找到智能体，也让智能体随时响应用户需求。大量系统底层原子能力也可被阶跃 Amoo 直接调用，能记住用户更能为用户完成任务。 阶跃 Step 5 Preview 正式接入腾讯 WorkBuddy，将更强的推理与 Agent 能力带入真实办公场景，可自主完成深度研究、数据分析、PPT 生成及多步骤复杂任务。截止至 10 月 25 日，用户可在全场景 AI 办公工作台 WorkBuddy 中限时免费体验，通过自然语言指令实现从需求理解到成果交付。 IT之家注意到，面向生态伙伴，阶跃 Amoo 已与支付宝、腾讯、携程、滴滴、剪映、高德、美团等近百家企业或产品达成合作，在本地生活、旅游出行、办公提效、内容创作等领域实现底层生态打通。 面向创客，STEPX 推出了旗下首款 AI 终端原生开发工具（IDE）—— Step Studio，创客只需使用自然语言，即可生成 AI App、游戏、智能体和 Skill。 基于这一开发环境，STEPX Neo 可以

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We're releasing Petri (Parallel Exploration Tool for Risky Interactions), an open-source framework for automated auditing that uses AI agents to test the behaviors of target models across diverse scenarios. When applied to 14 frontier models with 111 seed instructions, Petri successfully elicited a broad set of misaligned behaviors including autonomous deception, oversight subversion, whistleblowing, and cooperation with human misuse. The tool is available now at github.com/safety-research/petri

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Rowan Wang, Samuel R. Bowman, Sara Price We are releasing Bloom, an agentic framework for developing behavioral evaluations. Bloom's evaluations are reproducible and targeted: unlike open-ended auditing, Bloom takes a researcher-specified behavior and quantifies its frequency and severity across automatically generated scenarios. Bloom's evaluations correlate strongly with our hand-labelled judgments and reliably separate baseline models from intentionally misaligned ones. As examples, we also r

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型训练和推理场景中接受过检验。M890尚且如此，V900作为三倍性能的新一代产品，想象空间自然更大。 当然，系统级战争也有自己的残酷之处：客户买的不是一颗芯片，而是一整套迁移成本、软件生态和运维体系。谁能让开发者少改代码、让集群少出故障、让推理成本肉眼可见地下降，谁才能笑到最后。真武V900的真正对手，不只是其他AI芯片，而是整个AI基础设施的效率天花板。 Agent倒逼CPU进化，平头哥全栈棋局 如果说真武V900和超节点解决的是“AI算力”问题，那么平头哥首次公布的倚天服务器CPU规划，解决的是另一个更容易被忽视、却越来越致命的问题——Agent时代的CPU瓶颈。 Agent产品正在爆发。它不像传统聊天机器人那样只负责生成文本，而是要任务规划、状态管理、工具调用、多轮反思、结果校验。这些环节极其依赖CPU；与此同时，海量数据的预处理、编排与吞吐也需要CPU完成。GPU再强，如果CPU调度慢、内存带宽低、与GPU耦合松散，Agent就会像一个聪明但手脚迟钝的“数字员工”：想法很多，动作很慢。 大会现场，平头哥首次公布倚天服务器CPU的规划：2027年将推出倚天720和倚天730两代服

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级存算协同的技术，设计了麒麟芯片亲和的MoE架构，大模型加载性能提升25%、内存节省75%，30B MoE大模型占用内存小于2.5GB——最终实现“小空间装载大模型”。 此外，通过联合应用团队，麒麟开发了大模型场景自适应的方案。模型可以根据任务的复杂程度来自动地加载不同规模的参数，从而进一步节约场景功耗20%到50%。 现场，华为演示了几个应用，包括基于本地Agent的图库整理功能，可以根据用户意图完成图库分类、建立相册等。主要涉及30B MoE多步任务规划能力。还有基于7B Dense大模型的小艺帮写，可以帮助用户进行文本内容改写。相比于麒麟9030 Pro，麒麟9050 Pro在运行该模型的首字性能提升180%，模型推理功耗下降29%。 此外，华为还将业界首个6B修图大模型引入端侧，叠加30B MoE高阶图像理解能力，可以根据不同图像内容来进行智能推荐修图选项。 在大算力场景之外，在低功耗感知场景方面，基于灵犀微核加异构算力加低功耗渲染架构，华为打造了业界独有的低功耗息屏导航，首发骑行码表，连续导航可以超过25小时。 通过0.4B的VLM（视觉语言）模型，实现“感知人脸”、眼动翻页

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osoft Foundry are expected to adopt Maia 200 by the end of 2026. Maia 300 is designed for inference workloads involving long-context reasoning, conversational AI and multi-step AI agents. Microsoft said the system would deliver up to seven times the rack-scale token throughput of Maia 200 in a configuration with 96 accelerators. The company said Maia 200 delivers up to 1.7 times more tokens per watt for built-in AI capabilities in Microsoft Teams, Copilot and Cowork experiences compared with lea

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We’re building an automated AI engineer that dramatically improves performance of LLM agents on every single benchmark we’ve tried. TensorZero Autopilot is an automated AI engineer that analyzes LLM observability data, sets up evals, optimizes prompts and models, and runs A/B tests. It’s powered by our 11.5Kopen-source LLMOps platform that unifies an LLM gateway, observability, optimization, evaluation, and experimentation. The open-source project is used by companies ranging from frontier AI st

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X Spark delivers the full stack of NVIDIA RTX and CUDA technologies for creators, developers and gamers, while unlocking a new paradigm in personal computing via powerful local AI agents. Last week, NVIDIA and Microsoft announced that RTX Spark laptops will be available on Friday, Oct. 16. Ahead of the launch, NVIDIA and its ecosystem partners are rolling out new software features and performance optimizations to expand what’s possible with local AI on RTX Spark. New and upcoming RTX Spark updat

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履约，办结服务。 支付宝Vibe Pay落地STEPX Neo，AI应用创作一键变现 此外，支付宝自研AI支付产品Vibe Pay首次落地终端厂商，STEPX Neo成为首个接入的硬件伙伴。借助Vibe Pay，创作者可以在AI-IDE工具Step Studio中创建商品服务，并一键接入收款和经营能力，打通从“生成应用、展示商品”到“完成交易”的商业闭环，让Agent、Skill、App等不同形态的AI应用能够快速实现商业变现。 发布会上，蚂蚁集团支付宝事业群总裁、蚂蚁集团首席人才官吴敏芝表示，AI正从“能生成”走向“能办事”，而要真正走进生活、参与商业，还需解决服务如何连接、交易如何完成、信任如何建立的底层问题。支付宝作为智能体商业的生活服务中枢与AI支付基础设施，坚持开放共建，为智能体商业提供底层能力，与阶跃的合作正是这一方向上的实践。 公开数据显示，目前支付宝阿宝已完成万余项服务的AI化适配，跨端覆盖5大手机品牌、16家车企；过去5个月，支付宝平台智能体代买任务量增长7倍，用户月均智能体支付次数提升3倍。此次与阶跃终端的合作，也让这套跨端智能体服务与支付方案首次在大模型原生智能体

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building and sharing. Grok supports chat, voice, and image and video generation. Grok Bot gives you AI teammates that get work done. Cursor provides leading local and cloud coding agents. X adds a checkmark, creator tools, and fewer ads, with higher tiers removing ads from the timeline entirely. Paid plans on The X Subscription include a generous pool of Grok model usage shared across Grok and Cursor. Each comparable new tier provides more usage-per-dollar than the plan it replaces. Your shared

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