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NVIDIA Blog

NVIDIA unveiled its full lineup of on-premises AI hardware at GTC Berlin: RTX Spark, DGX Spark, and DGX Station have now launched in Europe.

At the GTC conference held in Berlin in October 2026, NVIDIA officially unveiled three on-premises AI hardware platforms for individual users, developers, and enterprise customers: RTX Spark (a personal agent for Windows PCs), DGX Spark (a Linux development cluster), and DGX Station (a cutting-edge AI workstation), while simultaneously announcing numerous software updates, model support, and ecosystem integrations.

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NVIDIA Blog

European industrial giants are leveraging NVIDIA AI and digital twin technologies to reshape their engineering and manufacturing systems.

Several leading industrial enterprises across Europe are scaling up the deployment of NVIDIA CUDA‑X, Omniverse, Cosmos, and Nemotron—open models and toolchains—covering the entire product lifecycle, from design and simulation optimization to factory operations. NVIDIA’s Factory Operations Blueprint (FOX) is now available in early access, enabling the creation of real-time, collaboratively coordinated industrial agents. Companies such as Siemens, Mercedes‑Benz, Audi, and Airbus‑level suppliers have already implemented multiple validation use cases, achieving tangible results like a 40% reduction in calibration time and a 20% decrease in root‑cause analysis costs.

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NVIDIA Blog

NVIDIA releases an extended version of the Agent Toolkit, empowering enterprises to build trustworthy agents based on private data.

NVIDIA’s open-source Agent Toolkit has added core components such as the Agent Knowledge Foundation, integrating the CUDA-X libraries, the Nemotron Retriever and Kumo series of open models, the OpenShell secure runtime, and the NemoClaw blueprint. This enables enterprises to build specialized agents that are auditable, controllable, and capable of deeply understanding business semantics—without migrating data or modifying existing workflows.

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Latent Space

Tenex Builds an AI-Native SDLC: Agent-Driven Development Practices for Fortune 2000 Companies

Tenex, an AI-native software company founded 18 months ago, leverages output‑driven compensation, the MetaHarness framework, and Opus 5.5–powered AI agent workflows to serve roughly half of the Fortune 2000 companies. Its model focuses on process standardization, revaluing non‑coding capabilities, and addressing the last‑mile challenges of enterprise‑level AI deployment.

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Simon Willison

eMudhra Intermediate CA Compromise

eMudhra Intermediate CA Compromise This is very, very bad news: The private keys of eight eMudhra intermediate CA certificates have been compromised. They chain to roots trusted by the Mozilla, Microsoft, Apple and Chrome root programs and by many downstream trust stores. Any software that bundles a list of trusted certificates needs to be updated. This site is tracking software updates via this GitHub repository - Linux distros need to update their ca-certificates packages. In Python world uv 0.13.4 and pip 26.2.2 and certifi 2026.10.19 have been released with upgraded certificate lists. There's a very informative thread about this on the official Python forum. Tags: encryption, https, pip, python, security, uv

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NVIDIA Blog

European tech companies are building on-premises AI infrastructure using NVIDIA Vera CPUs.

European AI cloud service providers such as Nebius, Nscale, and Verda, along with server manufacturers like Bull, Dell, and HPE, are building a new generation of energy-efficient, high-concurrency AI infrastructure based on NVIDIA’s Vera CPU, with a focus on supporting agentic computing workloads—including sandbox execution, semantic search, data analytics, and research collaboration.

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Simon Willison

My obituary for programming

My obituary for programming Jeremy Scheff poignantly captures the key loss caused by coding agents for career programmers who enjoyed the puzzle of developing code: Programming turned into one of the greatest jobs you could imagine. You got paid to work on tricky little logic puzzles. The trickier the puzzle, the more you got paid. But even pretty simple puzzles were worth a lot of money because regular people just couldn't do it! No, they needed us. They would give us a problem and we would solve it the way we wanted. We set the strategy, we made the timeline, we defined what was and was not possible. If you're a programmer who thrives on building working systems and doesn't care too deeply about the problems solved along the way, LLMs are the gift that keeps on giving. If directly solvin

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MIT Technology Review · AI

Optimizing the internet for AI agents may make it harder for ordinary users to navigate the web.

With the large-scale launch of personal AI agent apps like OpenAI Dots and Meta Muse, AI agents are emerging as the third category of web visitors, following humans and traditional web crawlers. They perform tasks entrusted by real users—such as booking rooms or comparing prices—at machine speed, but because they don’t fit within the existing “human–machine” dichotomy, they’ve been widely blocked by platforms like Pizza Hut, Yelp, and Amazon. If agent traffic continues to grow, websites may shift toward prioritizing AI agents—for example, Shopify has already created a dedicated checkout channel for them—which could lead to worse interfaces, more frequent verification steps, dynamic pricing, and distorted recommendations for human users. The key issue right now is the still‑unsettled regulatory framework: should agents be allowed to enhance consumers’ bargaining power, or should companies be permitted to keep them out?

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Simon Willison

Inline rendering with document​.currentScript

Inline rendering with document​.currentScript Lean Rada describes a neat trick that takes advantage of the document.currentScript property. You can use that to drop in a tiny inline <script> element that replaces itself when the page loads: The year is <script> document.currentScript.replaceWith( new Date().getFullYear())</script> If you define a shortcut function like this: $=(...n)=>document.currentScript.replaceWith(...n) You get a tiny template language: The year is <script>$(new Date().getFullYear())</script> Tags: javascript

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Ars Technica · AI

Meta plans to sidestep AI training content licensing fees by adopting a new version of its commercial terms of service.

Meta will implement its new Commercial Terms on October 30, 2026, mandating that business accounts permit its crawlers to collect and use content for AI training—covering all website content linked by users to Meta’s platforms, with no opt-out mechanism. Legal experts warn that this move could amount to a unilateral expansion of authorization over third-party content, including that of news publishers.

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Ars Technica · AI

The documentary “Super Scam Me” reveals a real-life investigation into romance scams: victims team up with journalists and hackers to set a counter‑trap.

The National Geographic Channel documentary “Super Scam Me” premiered on a Saturday night at 9 p.m. Eastern Time in October 2026, focusing on the mechanics of romance scams. An exclusive clip from the film shows reporter Mariana van Zeller teaming up with ethical hacker Arman the Cyber to lure a scammer posing as Jon Bon Jovi into revealing themselves by using forged Bitcoin payment receipts, helping victims achieve psychological closure.

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