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rety in one global view. (Assumption is all services (Apigee/Non-Apigee) in the chain report to the same Google CloudTrace) MCP clients carry W3C trace context inside the JSON-RPC meta field, which a conventional REST backend has no idea how to read. Apigee extracts it and forwards it as ordinary traceparent and tracestate headers, so instrumented services downstream join the trace without code changes. Three things follow: a single trace ID spanning the AI client, the Apigee proxies and backend

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s: and, or, not; Trace: traceId, threadId, resourceId, runId, sessionId, userId, organizationId, entityName, entityType, environment, status, startedAt, endedAt, durationMs, tags, metadata. ; Spans (spans.some, spans.none): name, spanType, model, provider, status, error, startedAt, endedAt, durationMs, entityType, entityId, entityName, entityVersionId, parentEntityVersionId, rootEntityVersionId, runId, sessionId, userId, organizationId; Scores (scores.some, scores.none): scorerId, scorerVersion,

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ing information and actions, rather than on a newly announced foundation model. One Workflow, Different Shop Economics Quoting is not a uniform calculation across manufacturing. A metal service center may need to match material lists and cut lengths against its catalog, check stock and apply customer-specific pricing. A foundry may first need an engineer to interpret a part file and resolve missing drawing requirements. Forgepoint says it configures Frank to those differences, with applications

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stealth in May with $29 million in seed funding, at a reported $500 million valuation. Previously known as Aldea , the startup was co-founded by Justin Dangel and Whedon, a former Meta engineer and head of generative AI at Tribe AI. Whedon succeeded Dangel as CEO a few months ago, having previously served as CTO. Dangel is now chairman. As The New Stack reported at launch , Subquadratic’s debut model, SubQ, attracted attention for its claimed 12-million-token context window, alongside substantia

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eine Speicherarchitektur für Zettabyte-Kapazitäten, optimiert für KI-Fabriken und GPU-Auslastung. (Bild: NetApp) Susanne Franke NetApp: Damit der Speicher die GPUs nicht ausbremst Metadaten und Daten auf getrennten Wegen; Skalierung mit globalem Namensraum; Keystone Sovereign für europäische Kunden This article is also available in English. It was translated with technical assistance and editorially reviewed before publication. Don’t show this again. Mit Novus stellt NetApp auf der Hausmesse in

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rastruktur entfaltet, zeigten mehrere Projektvorstellungen. So beleuchtete Nadine Scholten vom Universitätsklinikum Bonn ein Anwendungsbeispiel zur Erkrankung PMOS (Polyendokrines Metabolisches Ovarialsyndrom, früher PCOS), die viele Frauen im gebärfähigen Alter betrifft und zu Diabetes führen kann. In Abrechnungsdaten tauchte das Krankheitsbild bislang in weniger als zwei Prozent der Fälle auf, was auf eine erhebliche Unterdiagnostik hinweist. Um die Versorgung nun um die am stärksten aufgesuch

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ünschen sich Pflichtfortbildungen zu digitalen Themen; Wildberger will KI-Umsätze besteuern; Selbstlernende KI hält manipulierten Simulator für Erfolg; Character.ai ist insolvent; Meta schließt mit Muse Wonder fast zur Spitze auf; China gründet Allianz für KI in der Mathematik; Microsoft setzt auf eigene KI-Chips; Bots stehlen Betrügern die Zeit OpenAI-Mitarbeiter soll Konferenzraum verwanzt haben In einem wichtigen Konferenzraum von OpenAI steckte ein kleines Gerät mit Kamera und Mikrofon in de

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achvollziehbare Wartungshistorie und die Laufleistung plausible Annahmen über den Zustand treffen. Trotzdem waren und sind Kaufwillige letztlich im Unklaren. Befinden sich bereits Metallspäne in der Ölwanne? Hält der Zahnriemen noch? Was ist mit der Peripherie von der Wasserpumpe bis zur Kupplung? Angesichts immer neuer Spritpreisrekorde, auch wenn diese vorübergehend durch einen Steuernachlass gedämpft sind, werden sich Gebrauchtwageninteressenten zunehmend vom komplizierten Verbrennungsmotor a

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ata using ML-KEM-1024, a post-quantum cryptographic standard. The satellite also carries models developed by organisations including NASA’s Jet Propulsion Laboratory, Google, IBM, Meta, Microsoft and Hugging Face. These models support tasks ranging from cloud masking and scene description to detecting ships and mapping burned areas. “NVIDIA compute sits at the centre of how we design our satellites,” said Paul Lasserre, General Manager of AI for Space at Loft Orbital. He said the technology help

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der action The National Commission for Protection of Child Rights (NCPCR) took suo motu cognisance of the BBC report on July 3 and opened a formal inquiry on August 4. It summoned Meta India’s managing director twice in September. The National Human Rights Commission (NHRC) directed Delhi Police to investigate and examine whether Meta met its reporting duties under Sections 19 and 20 of the Protection of Children from Sexual Offences (POCSO) Act, 2012, which require reporting such offences to th

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来了一次意外的提速。 团队曾手写过第一版Git到Scion的数据导入管线原型。 后来，他们让Claude Mythos Preview的内部早期版本重新编写。官方称，重写后的版本，速度达到原来的4倍，内存占用约为原来的1/20。 这也解释了为什么Anthropic的7人团队，能在5个月内完成这次系统建设和迁移。 当然，大公司为超大代码库自建工具，早有先例。 Meta在2022年介绍Sapling时，就说明过它如何应对代码库增长，并开放了兼容Git的客户端。 这条路线有长期的工程积累，不同项目的起点和范围也不同，不能只拿开发周期比较效率。 Anthropic同样明确表示，Scion面向极大规模的代码库，并非适合一般用途的Git替代品。 对多数团队来说，更值得思考的问题是： 工程师还要做什么 在这次项目复盘里，Anthropic特别强调了工程师的一项工作： 对Claude说「不」。 但一个局部可行的办法，放进整个系统里，可能增加新的复杂性，也可能违背原有约束。 因此，工程师需要判断：为什么当初这样设计？哪些条件必须坚持？今天省下的时间，会不会变成明天的维护负担？ 这些判断，很难只靠眼前几行

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ing smart glasses that turned his lenses into tiny teleprompters. In the days afterwards, Welsh assembly members said the issue of smart glasses – popularised by Mark Zuckerberg’s Meta – needed to be dealt with at pace, with explicit guidance on their use developed. There was no suggestion that O’Connell’s glasses were recording. But it has prompted a fresh debate about the increasingly popular technology, with the House of Commons facing calls to ban smart glasses at Westminster. The Liberal De

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consumers are changing how they discover products. Instead of relying on Google search or comparison sites to explore and compare products, they can now ask a personal agent like Meta’s Muse or Instinct for product recommendations directly, lowering the value of owning traditional exploration sites. Further downstream, instead of hundreds of humans running linear funnels, long-running agents can work across far more complex journeys. They will do so across products, and communication modalities

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kers could not make up for a weaker lead, though. A Terra lead with Luna workers still fell short of a Sol agent working alone (51.6% against 57.7%). This matches recent work from Meta on meta-reasoning [8]. Their system splits an agent into a controller, which decides what to work on next and which earlier results to build on, and workers, which do that work. With the same workers and the same budget, a better controller scored higher on ProgramBench (71.5% against 63.7% with GPT-5.5), and its

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government to conduct mass surveillance on Americans? Surprisingly, the answer is not straightforward. More than a decade after Edward Snowden exposed the NSA’s collection of bulk metadata from the phones of Americans, the US is still navigating a gap between what ordinary people think and what the law allows. Today, the legal complexity has a new edge: AI is supercharging surveillance—and our laws haven’t caught up. Here’s how the Pentagon’s use of AI has exposed legal gray areas . —Michelle Ki

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点。 他警告，如果油价真这么走，股市会“完全、彻底地厌恶它”。 什么时候会翻车，有两个门槛。 触发条件是10月下旬云计算巨头的财报，资本开支指引一旦放缓，或者解禁规模超出预期，七巨头大概率要补跌。 失效条件是三季度盈利超预期、四季度指引没往下调，同时实际净供给明显低于测算，那这套“供给压垮回购”的推演就得推翻。 后面盯云巨头财报 也不是所有信号都朝一个方向。Meta周一发布新模型后股价逆市收涨约3.4%，市场否定的是不分青红皂白地押注基建，而非AI本身。 Pasquariello报告的末尾，写的是另一个画面： 自2009年3月的最低点以来，标普500总回报上涨了16倍。在这段历程中，只发生过一次衰退，且仅持续约两个月。 尽管如此，密歇根大学消费者信心调查的读数今天比2009年3月还要低——刚刚公布的数据（46.3）是1952年有记录以来的第二低读数。 Pasquariello称这一背离“令人震惊，也有些令人困惑”。 同一段时间，持有股票的人拿到了16倍。另一部分人拿到的是同步上涨的房价、租金和食品价格，以及10年期美债收益率破5%之后每一笔房贷都变成奢侈品的现实。 …… 1999年留给

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sk that evidence could be destroyed, citing a conversation between Chang Liu and Alyssa Peng about wiping their Apple-owned devices. The judge refused to rush OpenAI’s research on metal finishes, power management and battery functionality, leaving it to the ordinary discovery schedule. None of this decides whether secrets were taken, and OpenAI has denied wrongdoing. Still, interview files showing Apple parts on the table would tie any misappropriation to OpenAI’s hiring process itself, strength

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uncement describes as turning black-box predictions into clinical biomarkers. University of Cape Town is developing an AI-powered platform to map genetic variation in African drug-metabolizing genes, an effort the announcement says is meant to help guide clinical drug choices and improve treatment safety. University of Pittsburgh is using a geometric AI model to compare heart regeneration across species, seeking genetic switches that could accelerate new cardiac therapies. University of Toronto

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Spans follow the OpenTelemetry gen ai conventions. By default they carry metadata like duration, status, token counts, model, and tool names. Switch a destination to "full content" to also export prompts, responses, tool inputs, and tool results.

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heir database sharded by cities. Even today, each city is pinned to a cloud region, and can fall over to another region at any time. We previously covered how Uber moved from bare metal to the cloud. 4. A single AI model gateway has paid lots of dividends. In 2023, Uber’s platform team made the decision that everything built with AI needs to be model- and harness-agonistic. They built Model Gateway to support switching between Anthropic, OpenAI, other vendor models, and now also supports open mo

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