搜索“RAG”

lly relevant to every GCC. Its value is greatest where companies have complex workflows, usable data and a clear need to integrate AI into existing operations. Organisations with fragmented data or poorly documented processes may need to address those foundational problems first. The larger question is whether FDEs remain a specialised deployment function or become a core part of enterprise engineering teams. As AI models improve, companies will need to revisit existing workflows, adapt systems

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utomatic Speech Recognition (ASR) has been named one of @TIME’s Best Inventions of 2026! Meta Omnilingual ASR is a suite of models providing ASR capabilities for over 1,600 languages, including 500 low-coverage languages never before served by any ASR system. While most ASR systems focus on a limited set of languages that are well-represented on the internet, this release marked a major step toward building a truly universal transcription system. Learn more about it here: https://t.co/PPdTp8RIKt

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About $0.30–$0.35 in model costs per solved case. That estimate uses DeepSeek’s off-peak API rates and includes failed attempts on RoboTwin, LIBERO and LIBERO-Pro. The 40 showcase episodes average $0.13 each. https://t.co/sUNWMar0zz

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About $0.30–$0.35 in model costs per solved case. That estimate uses DeepSeek’s off-peak API rates and includes failed attempts on RoboTwin, LIBERO and LIBERO-Pro. The 40 showcase episodes average $0.13 each. https://t.co/kJJ7mBZswz

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The Guardian: OpenAI paid its 110 London staff an average of £2.3m each in 2025, more than double the previous year’s £1.1m. Accounts for OpenAI UK Ltd show the group shared £87m in salaries and £168m in shares, so equity made up about 66% of the £255m total. The same accounts show OpenAI UK Ltd’s turnover more than trebled in 2025 to £293m, on which it made a £20.3m profit.

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now in the Arena. Head to Agent Arena to test it out, scores coming soon! In Agent Arena, we measure models on millions of real-world, long-horizon agentic tasks from a global community of users. Models can access web search, filesystem, and terminal tools to complete complex workflows. The leaderboard measures model performance on outcomes relative to the average model using a causal tracing methodology. Muse Spark Open is also available in Code Arena: WebDev, Image-to-WebDev, Text, and Vision.

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nearly 90,000 unique sources, from local blogs to global news outlets. According to the company, when someone picks a preferred source, they click to that site twice as much on average. Google said the feature would be available to English-language users worldwide within days of the announcement and would roll out to all supported languages early the following year. The December post also detailed a feature that highlights links from users’ news subscriptions in a dedicated carousel, which Googl

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cientists free access to Gemini 4 Argon in Antigravity at its highest usage tier. DeepMind describes Antigravity as an agentic science workbench that compresses what used to be a fragmented search across multiple databases into a single session, and said researchers can take the demonstrated conversation in new directions, such as layering in new filtering criteria, exploring different sequence lengths, or targeting other priority pathogens, broadening the search from human commensals to environ

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g them at retrieval. For vector retrieval, the platform uses LanceDB, whose columnar architecture supports vector search alongside scalar and full-text indexes while separating storage from compute. Teams control the embedding pipeline itself, including what data gets embedded, which model and compute to use, and when embeddings are generated, with incremental updates that do not require rebuilding the full dataset. The release adds first-class support for time-series multimodal data: multiple s

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nd audience analytics are reshaping creative workflows and distribution models. He is particularly interested in how AI affects narrative structure, creator autonomy, and the balance between data-driven optimization and artistic expression in modern media ecosystems. Articles authored by Luca Ren are AI-generated and reviewed by Unite.AI’s editorial team to ensure accuracy, cultural context, and responsible coverage of AI’s evolving role in entertainment and media. Discover More mvp-article-cont

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with independent controls in the surrounding system that limit what an agent can access and contain damage if the safeguards fail. Security Evaluation Perplexity said a recent barrage of security testing showed SPACE resilient against network-bypass techniques like those used in the OpenAI/Hugging Face incident. In the company’s published security evaluation, which tested the platform against agents deliberately trying to breach its boundaries, testers recorded no escape from the virtual machin

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y validation across land, air, and urban mobility. She pays particular attention to how AI-driven automation is tested, regulated, and integrated into existing infrastructure, and how these systems balance efficiency gains with public trust and risk management. Articles authored by Elara Nix are AI-generated and reviewed by Unite.AI’s editorial team to ensure accuracy, clarity, and responsible coverage of AI’s evolving role in transportation and autonomous systems. Discover More mvp-article-cont

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值班 选型三问：评审标准多特定？要不要跨 PR 记忆？出错最坏后果是什么（合入回归或泄密 → 必须 Tier 3 并前置 Policy Server）。 案例：金融科技团队用 Tier 1 时，通用评审者标记审计员已放行的样板代码，却漏掉日志中未脱敏的 PII；换成一个 40 行的 Tier 2 skill，一周内误报锐减。多数团队的档位，是在被通用评审者漏掉关键问题的那一刻才确定的。 Tier 3 完全体：图原生代码理解，在亿行级遗留代码上，把代码、文档、工单、设计 PDF 摄入知识图谱，组合图遍历（结构查询）、向量检索（语义查询）、全文搜索（标识符匹配）三种检索，回答“改这里会破坏什么”；再配 Search → Story → Impact → Task-breakdown → Coding 的子 agent 流水线做任务分解。必须用图谱的原因：标准 RAG 会压平代码的结构关系（类属于文件、调用追溯到十年前的需求文档），“压平进向量库，地图就没了”。西门子生产试点把等价重构从两周压到几小时。定义：Tier 3 不是盯着 PR 的 agent，是理解 PR 所在系统的 agent。

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hatGPT is unsafe for children and that the company misled parents about it. Iowa, Kansas, Nebraska, West Virginia, Arkansas, Arizona, Idaho and Montana each filed in state court, and the suits allege both consumer protection violations and a public nuisance that endangers residents’ health. The legal theory targets design: the states argue ChatGPT is built to be agreeable and engaging so users trust it, and that it then reinforces delusions, encourages dangerous behavior and helps plan violence.

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Bloomberg published a piece on the estimated expenses to construct an AI data center in Texas Servers make up at least half the bill, and demand has more than doubled their average price in 2 years while DRAM costs over 5 times last year’s price. Grids rarely have a spare gigawatt in one place, so developers either pay $584K per megawatt for grid-connected land or build their own gas generation, whose cost has tripled in recent years. About $750B of hyperscaler capex this year chases the same tu

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ed the amount of Nvidia gear that goes into each 1 gigawatt AI data center has more than doubled, from about $18B to over $40B, because Nvidia now sells GPUs, networking, CPUs, storage computing and security software, and he expects this number to keep rising. Also for each dollar spent building data centers, he estimates about 40 cents goes to Nvidia when the buyer is a large cloud company (hyperscalers), and about 80 cents when the buyer is anyone else and , with both halves of its business ro

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head of GPT-6.1 Sol at 65 and Gemini 4 Argon at 55. Claude Opus 5.5 (49) and Claude Fable 5.1 (46) trail ➤ Today’s models are incredibly slow at our tasks, taking 30 minutes on average to complete each tabletop task ➤ Cost varies widely: GPT-6.1 Sol is the cheapest at $1.93 per task on average; GPT-6 Astra, the most expensive, costs $16.36, more than eight times as much ➤ Compared with a human, today's best-performing frontier language models are 100x slower and 10x more expensive More results,

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三星英特尔360大模型5G百度高通谷歌智东西小米 智东西10月15日消息，据TechCrunch报道，昨日，以色列AI职场协作软件公司Zenzap累计融资4400万美元（约合人民币2.96亿元）。这笔融资由贝塞默风险投资公司（Bessemer Venture Partners）、光速创投（Lightspeed Venture Partners）和The Garage等机构参与，Wix总裁尼尔·佐哈尔（Nir Zohar）、前安永以色列成员所管理合伙人约拉姆·蒂茨（Yoram Tietz）等个人投资者也参与其中。 据CTech于昨日的报道，Zenzap此前融资包括2022年完成的1100万美元（约合人民币7400万元）种子轮融资，以及2025年8月完成的3300万美元（约合人民币2.22亿元）A轮融资。 Zenzap希望解决的是一个常见的职场问题：WhatsApp等个人聊天工具难以满足企业的IT合规与数据安全要求，更无法直接叠加AI Agent来处理工作信息。 Zenzap希望在解决上述问题的同时，做一个面向适合酒店、建筑、医疗和快餐等行业的一线员工的AI聊天应用，从而将AI助手、任务管

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individual data points, they also depend on understanding how information relates to business processes, policies, ownership and operational context. When those relationships are fragmented, organisations should not be surprised when AI recommendations become inconsistent. When AI applications experience near misses, failures or conflicting recommendations, the questions that matter are organisational rather than technical. Who owns the data? Who owns the decision? Who can override the AI? How a

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ent does not specify the refresh frequency or external data sources used for every monitoring workflow, so continuous monitoring should not be read as a guarantee of real-time coverage of every event. Reported Savings, With Important Distinctions CarbonAI says early customers saved as much as 90% of the time spent on selected core underwriting tasks, including lease review, financial statement analysis, and loan onboarding. The figure describes task-level time savings reported by the company, ra

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