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Presented by SAP Generating code with AI is fast, but getting that code to run reliably inside a large enterprise, integrated with live systems, governed for compliance, and maintainable over years requires foundational work that most organizations underestimate. While 81% of all organizations have a detailed strategy, only 12–16%
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Shopping giant Walmart has slashed the price of the HP OmniBook 5 to $749 (was $1,469), knocking a massive $720 off this AI-ready laptop. If you're shopping for a capable system for work, school, or creative projects, this is one of the biggest and best laptop discounts
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* Bosses are seemingly confused that mass AI in favor of human workers isn't always a success * AI operating costs are often higher than expected * However some firms are happy to adapt and refocus where needed Bosses are being left confused at the high cost of moving to AI-centric
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* Could Microsoft sell off Xbox amid the company's biggest restructuring strategy yet? * Analysts say Xbox, as it stands, would be too expensive for even some of the biggest buyers * It's suggested that big players would be more interested in purchasing "specific pieces" of the
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When Model Context Protocol (MCP) tools underperform, the cause is rarely the protocol itself but the tool design. Many teams start by exposing an existing API as-is and trusting the agent to figure out the rest. It is a natural way to extend APIs to agentic systems and generative AI
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* Meta reportedly has a new AI glasses prototype * It is helping the company finalize a super sensing AI model * Meta execs apparently aren't yet certain what rules the all seeing AI should follow Meta is reportedly trialling a new super-sensing AI glasses prototype that aim to offer an
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Sponsor Posts Subquadratic: the LLM built for 12M-token reasoning — SubQ can reason across entire codebases and document sets in one pass with no RAG workarounds. Read how SubQ 1.1 Small holds near-perfect retrieval out to 12M tokens. Stop vibe coding analytics — Equals AI turns questions about your business into
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As enterprises scale their generative AI workloads, the demand for faster, more observable, and more flexible inference infrastructure continues to grow. Amazon SageMaker HyperPod is rising to meet that challenge with a set of new capabilities designed to streamline how organizations deploy and operate large models in production. Teams can
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Here’s a question we hear often at Google Cloud: How do you safely run AI-generated code or untrusted binaries without putting your host application, data, and cloud credentials at risk? In other words, how do you give AI-written programs a safe space to run — one that keeps them completely
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* OpenAI plans to hire a $200k Investment Banking expert as it continues to target finance * The company wants to improve financial accuracy, consistency and overall quality * ChatGPT already has its own personal finance tool OpenAI is advertising a new "Subject Matter Expert, Investment Banking" role within its team,
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Anant Nawalgaria Group AI Product Manager & Engineer, Google Laurynas Tamulevičius Staff AI Software Engineer, Google Many of the most challenging and valuable problems in the world are related to optimization. Now, AI is now making these problems tractable. If you've ever tried to design a microchip, plan
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Friendly home robots have been the dream of sci-fi for a long time. Docile, helpful machines that do your laundry, take out the trash, maybe make dinner, and clean up afterward too. But if robots are going to do all that, they’re going to need some hands to make
