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Built-in plagiarism police to hand in badge next month Microsoft is retiring Word's Similarity Checker on October 3 and stripping the feature from Microsoft Editor. Other writing and editing tools, including Microsoft 365 Copilot, won't be affected. But if an organization uses Similarity Checker as part
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ai and ml Two cases of agents escaping to solve unsolvable problems paints an uncomfortable question: Is the entire internet in OpenAI's experimental agentic firing line? OpenAI’s agents were going rogue as early as May, according to a new report, making the Hugging Face incident far from
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* Gemini AI gave three hikers bad advice about a mountain ascent * The trip took much longer than Gemini had said * US officials and volunteers eventually rescued the stranded group A cautionary tale from California if you often find yourself using AI bots to plan your outdoor adventures: a gang of
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* Texas has gone from being pro-data center to anti-expansion * Communities have had enough of rising prices and strained supplies * AI data centers have been described as this election season's core fight Republican politicians Texas are starting to turn against the rapid expansion of AI data centers, marking a
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Daybreak is OpenAI’s continuously running agentic loop that brings the power of frontier AI to simplify complex security investigations, validation, remediation and reporting. The earlier Daybreak Blue supports common defensive work with OpenAI mainline models; while Daybreak Red gives approved organizations access to specialized cyber models for more sensitive
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Hewlett Packard Enterprise (HPE) has released patches for 34 CVEs in the Aruba Networking ArubaOS-CX (AOS-CX) platform, including critical-severity remote code execution (RCE) flaws. Per HPT’s advisory, more than 150 flaws were resolved in AOS-CX versions 10.18.1002, 10.17.1030, 10.16.1060, 10.13.1190, and
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Machine learning projects almost always have a software component. Even when dedicated AI hardware is involved, there is typically a processor running an operating system, loading a model into memory, and executing an inference engine. Zakriya Paracha wanted to see what would happen if all of that disappeared. His solution
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When Google's Finance Engineering team needed to modernize their legacy data layer, they chose Spanner, a globally distributed, strongly consistent, multi-model database with high availability capabilities. But migrating to Spanner without taking production services offline was a daunting engineering challenge: As the internal team responsible for the application,
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Disaster recovery (DR) at scale is hard. When thousands of microservices span multiple AWS Regions, coordinating a reliable failover becomes a major operational challenge. At Intuit, we operate at this scale. We support products that millions of people rely on to run their businesses and manage their finances. These include
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For customer service teams handling thousands of utility bills each month, accurately parsing and analyzing complex, multi-page documents is a persistent challenge. Inconsistent formats, dense tables, and varied layouts make it difficult to extract the right information quickly. This leads to delayed responses, billing errors, and frustrated customers. As document
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How are you, hacker?🪐Want to know what's trending right now?:The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. Can Machines Learn Taste? By @derzhaiev [ 8 Min read ]Silicon Valley wants to teach AI
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For the last few years, AI engineering has operated under a surprisingly simple assumption: Bigger models are better models. More parameters. More training data. More GPUs. More compute. And to be fair, that strategy has worked remarkably well. Scaling has produced huge improvements in language understanding, coding, reasoning, multimodal capabilities,
