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The speed and sophistication of cyberattacks have outpaced traditional defense methods. Please join us online today from 11AM -4PM ET for the Threat Detection & Incident Response Summit. Don’t miss this virtual event as we explore how to cut through alert fatigue, leverage AI and unified platforms to accelerate
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AI is accused of being built on unpaid intellectual labor, but human intelligence is also built on unpaid intellectual inheritance. The difference is not that humans create from nothing and machines steal. The word “labor” makes it sound like the problem is new, and like someone is simply making others
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Most of the performance work I have done on ML data pipelines has not come from clever algorithms. It has come from removing waste wasted shuffles, wasted scans, wasted memory, wasted I/O. I find that genuinely a little disappointing when I look back on it, because the elegant solutions
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I have built ML pipelines that ran on a single VM, pipelines that ran on a Kubernetes cluster I babysat personally, and pipelines that ran fully managed on cloud platforms. Honestly, the cloud-managed ones have aged the best. Not because they are flawless, but because the failure modes are predictable
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Memory bloat, compaction loss, and a retrieval-first path: ~32% less token spend on the AppWorld dev split — without dumbing the agent down. Developers who actually ship with LLMs know one truth by heart: the context window is not free. Every extra thousand tokens nudges the invoice up and the latency
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Every few years, a bank announces a major mainframe modernization initiative. There is a press release. A vendor partnership. Sometimes a new CTO with a mandate to "fix the legacy problem." Eighteen months later, the project is quietly descoped, the timeline has tripled, and the original mainframe is
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AI does not make security impossible. It makes slow, static and periodic security obsolete. This is a long-form strategy article about how enterprise security changes when AI compresses the time between vulnerability discovery, exploit development, attack execution, remediation and validation. The core idea is simple: Post-AI Security starts by shrinking
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This post is a practical companion to It's 2026, Just Use Postgres. That post makes the architectural case for consolidating on Postgres. This one shows you how. Below are working SQL examples for each use case. Every extension listed here is available on Tiger Cloud with no additional
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The Cambridge-rooted, Massachusetts-based automated electronics factory has delivered more than two million boards across 20,000 engineers. Plural’s bet is on the trillion-dollar reshoring tailwind behind it. CircuitHub, the automated-electronics-manufacturing company founded by Andrew Seddon, has raised $28m in funding led by Plural. The round is the largest CircuitHub
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The Warsaw- and Munich-based ex-Meta engineering team hit $15m annualised recurring revenue in ten weeks. The angel list reads like a who’s who of European and US software. Viktor, the Warsaw- and Munich-based AI-agent company built by former Meta engineers Peter Albert and Fryderyk Wiatrowski, has raised a $75m
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T-Head’s new GPU lands inside US export controls, a Trump-Xi summit on AI chips, and a Chinese domestic accelerator market, the company says, is already in scaled mass production. Alibaba’s T-Head chip unit unveiled detailed specifications of the Zhenwu M890 on Wednesday, the company’s latest GPU-class AI
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The 6,000-square-metre autonomous R&D facility, backed by Siemens, ABB Robotics, NVIDIA, AWS and ILS, is positioned as Europe’s answer to the materials-verification bottleneck that AI-led design has opened up. Dunia Innovations, the Berlin-based deeptech company building autonomous infrastructure for materials R&D, announced plans on
