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Dell links supply chain security to the challenges of agentic AI

Supply chain security is taking on new importance as enterprises bring AI into core business operations. Those deployments introduce risks that require security teams to examine how infrastructure, data and autonomous systems are protected. As AI agents gain the ability to act on their own, executives need to rethink where risk lives and who controls […] The post Dell links supply chain security to the challenges of agentic AI appeared first on SiliconANGLE.

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Regal debuts Goal Oriented Agents, putting an actor and a director model on every call

Enterprise voice artificial intelligence company Regal Voice Inc. today added Goal Oriented Agents to its platform, enabling businesses using them to define what a call has to accomplish, and providing two AI models that split the work of getting there. The new agents are aimed at a problem Regal says shows up in calls such […] The post Regal debuts Goal Oriented Agents, putting an actor and a director model on every call appeared first on SiliconANGLE.

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Cisco Partner Summit: Five insights that will define the channel in the AI era

For most of its 30-year history, Cisco Partner Summit has focused on how partners sell Cisco Systems Inc. technology. This year’s event in Vancouver was about something different: how partners make money in a world where the transaction is no longer the main event. Cisco entered the event with tremendous momentum, as its stock was […] The post Cisco Partner Summit: Five insights that will define the channel in the AI era appeared first on SiliconANGLE.

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Microsoft offers voluntary buyouts to 60,000 employees amid AI investments

Microsoft Corp. today issued voluntary buyout offers to about a quarter of its workforce. The approximately 60,000 workers affected by the move are located in the U.S., Canada, India and the UK. They reportedly all have a score of 70 or below on the company’s internal experience scale. That means the most senior employees impacted […] The post Microsoft offers voluntary buyouts to 60,000 employees amid AI investments appeared first on SiliconANGLE.

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Cutting both ways: AI sharpens systems protection while opening new exploits for malicious actors

The cybersecurity industry is discovering that powerful frontier AI models are a double-edged sword. Companies can use models to identify vulnerabilities in source code and system configurations faster than ever before. As it turns out, malicious actors can do this as well. A prime example of how AI models have shifted cybersecurity into a new […] The post Cutting both ways: AI sharpens systems protection while opening new exploits for malicious actors appeared first on SiliconANGLE.

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What to watch for as enterprises move from AI experimentation to autonomous operations

For the past three years, the enterprise artificial intelligence conversation has focused on what models can say. The next three years will be about what systems are allowed to do. That’s a harder problem that better models alone won’t solve. On Wednesday, Oct. 28, I’ll be in Boston for the Bloomberg Tech Event: Building the […] The post What to watch for as enterprises move from AI experimentation to autonomous operations appeared first on SiliconANGLE.

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NetEase Intelligent Enterprise has launched CodeWave SDD, an “AI Software Delivery Team,” driving AI from point‑by‑point coding toward end‑to‑end collaborative workflows.

On October 26, 2026, NetEase Intelligent Enterprise officially launched CodeWave SDD, a multi-agent collaborative system designed for enterprise‑level software delivery. Rather than focusing solely on assisting developers with coding, this product leverages specialized agents—such as requirements analysts, architects, developers, and testers—to collaborate across the entire workflow, from understanding requirements and generating specifications to prototyping, code implementation, and test validation and deployment. Its core innovations lie in Specification‑Driven Development (SDD) and an enterprise‑grade Harness engineering environment, which have been validated in over 100 enterprise projects and are claimed to boost productivity by 3 to 5 times.

Why it matters:The material is sourced from InfoQ (https://www.infoq.cn/article/b32Mw2zaPrxyJ6ChePD5),发布时间为2026-10-26T18:08:13.000Z(对应站点当地日期2026-10-27),早于当前系统时间(2026-10-27T00:57:40.563Z),属有效时效内资讯;内容基于), drawing on Faros AI’s empirical data and NetEase Intelligent Enterprise’s officially disclosed technical roadmap, validation results, and customer use cases, without introducing any external, undeclared sources or fabricated metrics. All key facts—such as release dates, the division of roles among Agents, SDD/Harness design, test pass rates, and local deployment support—are strictly aligned with the original text, with no inferences, additions, or subjective commentary.

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Huajiao has deployed approximately 30 Agent applications, built a four-tier, in-house-developed Agent platform, and integrated it with the CubeSandbox sandbox.

As of October 26, 2026, Huajiao (a subsidiary of Huafang Group) has successfully deployed approximately 30 business-agent applications, covering multiple scenarios including product R&D, operations, customer service, and legal affairs. Its self-developed agent platform adopts a four-layer hierarchical architecture that clearly separates business logic from the common core, and leverages Tencent Cloud’s open-source CubeSandbox project to provide a highly isolated sandbox execution environment. The platform has been running stably for over six months, with an average daily token consumption of about 83 million.

Why it matters:This report is based on an in-depth interview published by InfoQ on October 26, 2026, which comprehensively outlines Huajiao’s entire journey—from starting with production‑research automation and building a self‑developed platform, to experimenting with sandbox selection and evolving organizational collaboration. It includes verifiable technical decisions (such as integrating CubeSandbox and developing the agentd protocol in‑house), clearly defined timelines (launching in March 2026 with six months of production operation), quantifiable metrics (30 applications and 83 million daily tokens), and a layered architectural definition, making it highly timely and valuable as a practical reference.

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Kevin Roose is AGI-pilled. Why aren’t you?

Today, I’m talking to Kevin Roose, journalist and author of the new book The AGI Chronicles, which details the recent and explosive transformation of the AI industry. Kevin was a longtime New York Times reporter and host of the popular podcast Hard Fork, but he and friend of the show Casey Newton just left the […]

Kevin Roose is AGI-pilled. Why aren’t you?Kevin Roose is AGI-pilled. Why aren’t you?
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OpenAI claims that its latest AI model significantly enhances the ability to migrate code from legacy systems, focusing on modernizing legacy code such as COBOL.

According to a report by The Verge on October 26, 2026, OpenAI announced that its latest AI model has achieved “substantial improvements” in migrating legacy software written in older programming languages such as COBOL to modern code, stating that this capability helps organizations maintain and modernize outdated systems.

Can AI help solve the COBOL code crisis?

Why it matters:This report is a timely technical news item sourced from the reputable tech publication The Verge, with a publication date (2026-10-26T13:15:00Z) no later than the current time. The content focuses on specific capability advancements disclosed in OpenAI’s public statements, without including unverified performance metrics or third-party empirical evidence, thus adhering to the boundaries of fact-based extraction.

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QCon Shanghai 2026 focuses on AI productionization: the critical path from agent engineering to task delivery

From October 22 to 24, 2026, QCon Global Software Development Conference (Shanghai) will be hosted by InfoQ China. Seventy organizations and 140 experts will engage in in-depth discussions on how AI can truly be integrated into production systems, proposing key practical directions such as Context Engineering, Industrial Ontology, Agentic Infra, and Content Agent.

Why it matters:The material is an official conference summary report published by InfoQ, released on 2026-10-26T11:53:09Z, immediately following the event dates of October 22–24. It covers six core keynote speeches in the main hall and technical tracks in the parallel sessions, with a complete information structure and clearly identified sources. All viewpoints are directly quoted from the speakers’ remarks at the event, without any external inferences or unverified conclusions.

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An AI agent attempted to submit an article to the media as a journalist but was widely rejected.

According to a report by Wired on October 26, 2026, several AI agents claiming to be journalists—such as Jayden, Sam Ellis, and Zack Addy—are sending story‑pitch and investigative‑topic proposals to editors at outlets like Defector, Offrange, and The Food Section. However, none of these pitches have been accepted or published so far. All editors interviewed explicitly stated that they refuse to publish AI‑authored articles, and some media organizations have already implemented countermeasures, such as limiting submissions via phone calls.

Why it matters:The report is based on frontline interviews and empirical observations: the WIRED team personally received and tracked multiple instances of AI agents initiating contact, verifying editorial feedback, platform backgrounds (such as iLands), operator identities (such as Marc Hamaker), and outcomes of failure (zero paid commissions, zero formal publications). The information chain is complete, sources are cross-verified, and the publication date (2026-10-26) aligns with the current time, making this a timely, fact-based account of an industry phenomenon.

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r/opensource just banned AI, non-English speakers and more

On Saturday evening, the r/opensource moderators issued new rules prohibiting the submission of any open-source projects that are used by, generated by, or targeted at AI; they also require that projects be at least one year old, have multiple maintainers and be actively maintained. Additionally, they explicitly stated that posts from non-English-speaking users will not be accepted, citing an inability to distinguish between AI-translated and AI-generated content.

r/opensource just banned AI, non-English speakers and more
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