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      <loc>https://www.ashishkaul.com/perspectives/mcp-default-agent-standard</loc>
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        <image:title><![CDATA[Model Context Protocol Becomes the Default Agent Standard]]></image:title>
        <image:caption><![CDATA[How an Anthropic-incubated protocol crossed 97 million SDK downloads, got donated to the Linux Foundation, and replaced bespoke integrations as the way agents talk to enterprise systems.]]></image:caption>
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    <url>
      <loc>https://www.ashishkaul.com/perspectives/mcp-default-agent-standard</loc>
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        <image:title><![CDATA[Model Context Protocol Becomes the Default Agent Standard]]></image:title>
        <image:caption><![CDATA[How an Anthropic-incubated protocol crossed 97 million SDK downloads, got donated to the Linux Foundation, and replaced bespoke integrations as the way agents talk to enterprise systems.]]></image:caption>
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      <loc>https://www.ashishkaul.com/perspectives/multi-agent-orchestration-tipping-point</loc>
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        <image:title><![CDATA[Multi-Agent Orchestration Reaches the Production Tipping Point]]></image:title>
        <image:caption><![CDATA[Why 2026 is the year teams of specialized agents replaced monolithic super-agents, and what enterprises learned the hard way about coordination, cost, and accountability.]]></image:caption>
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      <loc>https://www.ashishkaul.com/perspectives/multi-agent-orchestration-tipping-point</loc>
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        <image:title><![CDATA[Multi-Agent Orchestration Reaches the Production Tipping Point]]></image:title>
        <image:caption><![CDATA[Why 2026 is the year teams of specialized agents replaced monolithic super-agents, and what enterprises learned the hard way about coordination, cost, and accountability.]]></image:caption>
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      <loc>https://www.ashishkaul.com/perspectives/agentic-coding-ide-junior-engineer</loc>
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        <image:title><![CDATA[Agentic Coding: When the IDE Becomes the Junior Engineer]]></image:title>
        <image:caption><![CDATA[Claude Opus 4.7 hit 64.3% on SWE-bench Pro — not as a benchmark stunt, but as the floor for what agent-driven development now looks like in real codebases.]]></image:caption>
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      <loc>https://www.ashishkaul.com/perspectives/agentic-coding-ide-junior-engineer</loc>
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        <image:title><![CDATA[Agentic Coding: When the IDE Becomes the Junior Engineer]]></image:title>
        <image:caption><![CDATA[Claude Opus 4.7 hit 64.3% on SWE-bench Pro — not as a benchmark stunt, but as the floor for what agent-driven development now looks like in real codebases.]]></image:caption>
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      <loc>https://www.ashishkaul.com/perspectives/formal-math-reasoning-imo-gold</loc>
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        <image:title><![CDATA[Formal Math Reasoning: From Silver to Gold at the IMO]]></image:title>
        <image:caption><![CDATA[A year after AlphaProof reached silver-medal performance at the International Mathematical Olympiad, Gemini Deep Think hit gold — and produced rigorous proofs in natural language, end to end.]]></image:caption>
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    <url>
      <loc>https://www.ashishkaul.com/perspectives/formal-math-reasoning-imo-gold</loc>
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        <image:title><![CDATA[Formal Math Reasoning: From Silver to Gold at the IMO]]></image:title>
        <image:caption><![CDATA[A year after AlphaProof reached silver-medal performance at the International Mathematical Olympiad, Gemini Deep Think hit gold — and produced rigorous proofs in natural language, end to end.]]></image:caption>
      </image:image>
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    <url>
      <loc>https://www.ashishkaul.com/perspectives/embodied-ai-gemini-robotics-sim-to-real</loc>
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        <image:loc>https://images.unsplash.com/photo-1535378620166-273708d44e4c?w=1600&amp;h=1000&amp;fit=crop</image:loc>
        <image:title><![CDATA[Embodied AI: Gemini Robotics and the Closing Sim-to-Real Gap]]></image:title>
        <image:caption><![CDATA[Gemini Robotics ER-1.6 is the first model that treats physical-world reasoning as a first-class objective. What it gets right, what it still doesn't, and why this is the year robotics stopped being its own island.]]></image:caption>
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    <url>
      <loc>https://www.ashishkaul.com/perspectives/embodied-ai-gemini-robotics-sim-to-real</loc>
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        <image:loc>https://images.unsplash.com/photo-1518770660439-4636190af475?w=1600&amp;h=1000&amp;fit=crop</image:loc>
        <image:title><![CDATA[Embodied AI: Gemini Robotics and the Closing Sim-to-Real Gap]]></image:title>
        <image:caption><![CDATA[Gemini Robotics ER-1.6 is the first model that treats physical-world reasoning as a first-class objective. What it gets right, what it still doesn't, and why this is the year robotics stopped being its own island.]]></image:caption>
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    <url>
      <loc>https://www.ashishkaul.com/perspectives/agentic-ai-governance-code-in-production</loc>
      <image:image>
        <image:loc>https://images.unsplash.com/photo-1554224155-8d04cb21cd6c?w=1600&amp;h=1000&amp;fit=crop</image:loc>
        <image:title><![CDATA[Agentic AI Governance: From Policies on Slides to Code in Production]]></image:title>
        <image:caption><![CDATA[The 2026 Gartner Hype Cycle named agentic AI governance, security, and FinOps as new disciplines. The technology that produced that need is also producing the ways it actually gets enforced.]]></image:caption>
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    <url>
      <loc>https://www.ashishkaul.com/perspectives/agentic-ai-governance-code-in-production</loc>
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        <image:loc>https://images.unsplash.com/photo-1559526324-4b87b5e36e44?w=1600&amp;h=1000&amp;fit=crop</image:loc>
        <image:title><![CDATA[Agentic AI Governance: From Policies on Slides to Code in Production]]></image:title>
        <image:caption><![CDATA[The 2026 Gartner Hype Cycle named agentic AI governance, security, and FinOps as new disciplines. The technology that produced that need is also producing the ways it actually gets enforced.]]></image:caption>
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    <url>
      <loc>https://www.ashishkaul.com/perspectives/rise-of-gpt4-new-era-language-ai</loc>
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        <image:loc>https://images.unsplash.com/photo-1677442136019-21780ecad995?w=1200&amp;h=800&amp;fit=crop</image:loc>
        <image:title><![CDATA[The Rise of GPT-4: A New Era in Language AI]]></image:title>
        <image:caption><![CDATA[An in-depth analysis of GPT-4's capabilities, limitations, and its impact on various industries. Discover how this breakthrough in language AI is reshaping the future of work.]]></image:caption>
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    <url>
      <loc>https://www.ashishkaul.com/perspectives/implementing-ai-enterprise-strategic-guide</loc>
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        <image:loc>https://images.unsplash.com/photo-1451187580459-43490279c0fa?w=1200&amp;h=800&amp;fit=crop</image:loc>
        <image:title><![CDATA[Implementing AI in Enterprise: A Strategic Guide]]></image:title>
        <image:caption><![CDATA[Learn how enterprises can successfully integrate AI solutions, from proof of concept to full-scale deployment. A comprehensive guide backed by real-world case studies.]]></image:caption>
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    <url>
      <loc>https://www.ashishkaul.com/perspectives/future-computer-vision-beyond-recognition</loc>
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        <image:loc>https://images.unsplash.com/photo-1561557944-6e7860d1a7eb?w=1200&amp;h=800&amp;fit=crop</image:loc>
        <image:title><![CDATA[The Future of Computer Vision: Beyond Image Recognition]]></image:title>
        <image:caption><![CDATA[Explore the latest advancements in computer vision AI, from generative models to real-time object detection. Understanding the technology reshaping visual computing.]]></image:caption>
      </image:image>
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    <url>
      <loc>https://www.ashishkaul.com/perspectives/ai-agents-next-evolution-automation</loc>
      <image:image>
        <image:loc>https://images.unsplash.com/photo-1485827404703-89b55fcc595e?w=1200&amp;h=800&amp;fit=crop</image:loc>
        <image:title><![CDATA[AI Agents: The Next Evolution in Automation]]></image:title>
        <image:caption><![CDATA[Discover how autonomous AI agents are revolutionizing task automation and decision-making processes across industries, from simple workflows to complex business operations.]]></image:caption>
      </image:image>
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    <url>
      <loc>https://www.ashishkaul.com/perspectives/multimodal-ai-bridging-text-vision-audio</loc>
      <image:image>
        <image:loc>https://images.unsplash.com/photo-1526374965328-7f61d4dc18c5?w=1200&amp;h=800&amp;fit=crop</image:loc>
        <image:title><![CDATA[Multimodal AI: Bridging Text, Vision, and Audio]]></image:title>
        <image:caption><![CDATA[Explore how multimodal AI models are breaking down barriers between different types of data, enabling new applications and more natural human-AI interaction.]]></image:caption>
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    <url>
      <loc>https://www.ashishkaul.com/perspectives/ai-powered-code-generation-future-development</loc>
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        <image:loc>https://images.unsplash.com/photo-1542831371-29b0f74f9713?w=1200&amp;h=800&amp;fit=crop</image:loc>
        <image:title><![CDATA[AI-Powered Code Generation: The Future of Development]]></image:title>
        <image:caption><![CDATA[An in-depth look at how AI code generators are transforming software development, from automated testing to full application generation.]]></image:caption>
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    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/3913012/pexels-photo-3913012.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[The Download: whole-body rejuvenation drugs and five things to know about AI]]></image:title>
        <image:caption><![CDATA[This is today&#8217;s edition of The Download, our weekday newsletter that provides a daily dose of what&#8217;s going on in the world of technology.  David Sinclair plans to test whole-body rejuvenation drugs in the XPrize competition The outspoken longevity scientist David Sinclair has predicted that, one day, you’ll go to the doctor and get a&#8230;.]]></image:caption>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
      <image:image>
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        <image:title><![CDATA[Learning to lead in a hybrid human-AI enterprise]]></image:title>
        <image:caption><![CDATA[As adoption of AI agents looks set to surge by as much as 300% in the next two years, leadership teams are carefully considering the implications of a hybrid human-AI workforce.   Unlike existing enterprise-level automation that relies on manual input, AI agents are capable of autonomously coordinating complex tasks, interacting with multiple tools and environments across&#8230;.]]></image:caption>
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    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
      <image:image>
        <image:loc>https://images.pexels.com/photos/14553707/pexels-photo-14553707.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[David Sinclair plans to test whole-body rejuvenation drugs in the XPrize competition]]></image:title>
        <image:caption><![CDATA[The outspoken longevity scientist David Sinclair has been predicting that one day, you’ll go to the doctor and get a prescription that will make you 10 years younger.  Now MIT Technology Review has learned that he has plans to launch human tests of an oral &#8220;reprogramming&#8221; drug as part of a $101 million competition organized&#8230;.]]></image:caption>
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    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
      <image:image>
        <image:loc>https://images.pexels.com/photos/18548425/pexels-photo-18548425.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[Five things you need to know about AI]]></image:title>
        <image:caption><![CDATA[At SXSW London last week I gave a talk called “Five things you need to know about AI,” in which I shared what I think are the biggest themes in AI right now.  I pulled a few things from our first AI10 list, an annual guide to the most important trends in this buzzy world,&#8230;.]]></image:caption>
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    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
      <image:image>
        <image:loc>https://images.pexels.com/photos/7887258/pexels-photo-7887258.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[Researchers trained an open source AI search agent, Harness-1, that outperforms GPT-5.4 on recalling relevant information]]></image:title>
        <image:caption><![CDATA[A joint research collaboration between researchers at the University of Illinois at Urbana-Champaign (UIUC), UC Berkeley, and the open source AI-native vector database platform Chroma unveiled Harness-1, a 20-billion parameter open-source search agent built atop OpenAI&#x27;s gpt-oss-20B open source model that fundamentally redesigns how AI executes complex retrieval tasks.  Harness-1 achieves a massive leap in performance, scoring 73% average on its ability to recall relevant information correctly from a curated dataset, outperforming even GPT-5.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/16027820/pexels-photo-16027820.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[The Download: how the World Cup ball will fly and OpenAI’s “super app”]]></image:title>
        <image:caption><![CDATA[This is today&#8217;s edition of The Download, our weekday newsletter that provides a daily dose of what&#8217;s going on in the world of technology.  Why this year’s World Cup ball may not fly as far Much is new about this month’s FIFA World Cup tournament.]]></image:caption>
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    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/34804018/pexels-photo-34804018.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[Agentic AI solved coding — and exposed every other problem in software engineering ]]></image:title>
        <image:caption><![CDATA[Agentic AI is now a core part of the engineering process, driving massive execution leverage and helping us generate more code than ever before.  Yet, a difficult question I’ve increasingly heard from business leaders is: if we’re shipping code faster than ever, why aren’t our products improving at the same rate.]]></image:caption>
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    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[When Claude changed, everything changed: Managing AI blast radius in production]]></image:title>
        <image:caption><![CDATA[Our system did one thing, and it did it well: It turned natural-language questions into API calls. The users were analysts, account managers, and operations leads.]]></image:caption>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/10142683/pexels-photo-10142683.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[Microsoft AI chief says company was “set free” from OpenAI to pursue superintelligence]]></image:title>
        <image:caption><![CDATA[For three years, Microsoft&#x27;s artificial intelligence story has been inseparable from OpenAI.  The partnership — cemented by a cumulative investment exceeding $13 billion — gave Microsoft early access to the most advanced AI models on the planet, catapulting its Copilot products into the enterprise mainstream and adding hundreds of billions of dollars to its market capitalization.]]></image:caption>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[Microsoft's AI Futurist explains how he uses Copilot — and the real-world problems enterprises are solving with agents]]></image:title>
        <image:caption><![CDATA[Microsoft used its Build 2026 conference this week to push a clear message: agents are rapidly moving into production throughout enterprise systems, and the winning platform will be the one that gives them reliable context, governance, identity, memory — and secure access to enterprise data.  The company announced Microsoft IQ as a context layer across GitHub Copilot, Microsoft Foundry and Copilot Studio; Work IQ APIs coming June 16; Fabric IQ for structured business data; Foundry IQ for retrieval across enterprise knowledge and the live web; and Web IQ as a new agent-facing web search stack.]]></image:caption>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[AI agents are learning on the job — just not for your whole team]]></image:title>
        <image:caption><![CDATA[When someone on a team corrects an AI agent — better prompts, better feedback, better context — that improvement disappears the moment a colleague opens the same tool.  The correction doesn&#x27;t transfer, and the next person starts from zero.]]></image:caption>
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    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/17614479/pexels-photo-17614479.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[Meta's AI support agent bound recovery emails for anyone who asked. Your SOC never saw an alert.]]></image:title>
        <image:caption><![CDATA[Meta&#x27;s AI support agent bound recovery emails to accounts for whoever asked, and SOCs never saw an alert.  An authorized agent writes a log of legitimate transactions, so nothing in the detection stack fired.]]></image:caption>
      </image:image>
    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
      <image:image>
        <image:loc>https://images.pexels.com/photos/5473951/pexels-photo-5473951.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[The Download: AI hacking beyond Mythos, and chatbots’ impact on our brains]]></image:title>
        <image:caption><![CDATA[This is today&#8217;s edition of The Download, our weekday newsletter that provides a daily dose of what&#8217;s going on in the world of technology.  The Meta hack shows there’s more to AI security than Mythos On Monday, reports emerged that attackers had used Meta’s AI customer support agent to steal Instagram accounts.]]></image:caption>
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    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/16380906/pexels-photo-16380906.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[Are AI chatbots making us lose control of our brains?]]></image:title>
        <image:caption><![CDATA[This week I’ve been at SXSW London.  There’s been music, film, and a lot—and I mean a lot—of talk about AI.]]></image:caption>
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    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/5473951/pexels-photo-5473951.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[The Meta hack shows there’s more to AI security than Mythos]]></image:title>
        <image:caption><![CDATA[On June 5, 404 Media reported that attackers had been using Meta’s AI customer support agent to steal Instagram accounts.  Their approach was simple: They asked the agent to link the accounts to email addresses that they controlled, and the agent complied.]]></image:caption>
      </image:image>
    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
      <image:image>
        <image:loc>https://images.pexels.com/photos/34804018/pexels-photo-34804018.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[Anthropic says 80% of its new production code is now authored by Claude — how your enterprise can keep up]]></image:title>
        <image:caption><![CDATA[Anthropic co-founder and CEO Dario Amodei said it was coming, but it still feels like a milestone: More than 80% of the code merged into Anthropic’s production codebase in May wasn&#x27;t authored by humans, but by its own AI model, Claude, according to a new report shared by the record-breaking AI startup today. This transformation has triggered an 8x increase in the volume of code shipped per engineer per quarter compared to the company’s 2021–2025 baseline, which the company notes means even more code someone or something must review.]]></image:caption>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/8386440/pexels-photo-8386440.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[The Download: AI-generated lawsuits and virtual power plants for data centers]]></image:title>
        <image:caption><![CDATA[This is today&#8217;s edition of The Download, our weekday newsletter that provides a daily dose of what&#8217;s going on in the world of technology.  How courts are coping with a flood of AI-generated lawsuits Most days in her chambers, Judge Maritza Braswell, a federal magistrate judge in Colorado, sifts through stacks of documents written by&#8230;.]]></image:caption>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/6077797/pexels-photo-6077797.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[How courts are coping with a flood of AI-generated lawsuits]]></image:title>
        <image:caption><![CDATA[Most days in her chambers, Judge Maritza Braswell, a federal magistrate judge in Colorado, sifts through stacks of documents written by people without a lawyer.  Many of them can’t afford to hire a lawyer, and others have cases too weak or too small to interest one.]]></image:caption>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[Google's new open source Gemma 4 12B analyzes audio, video — and runs entirely locally on a typical 16GB enterprise laptop]]></image:title>
        <image:caption><![CDATA[While many AI open source model providers are pursuing larger and more powerful models, Google is still giving attention to the smaller, more local side of the market.  Today, the tech giant released Gemma 4 12B, an 11.]]></image:caption>
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        <image:title><![CDATA[The Download: Trump’s new AI order, and smart glasses for warfare]]></image:title>
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        <image:title><![CDATA[Alibaba's Qwen3.7-Plus supports text, video and imagery inputs at low cost of $0.4/$1.6 per 1M token — but it's proprietary]]></image:title>
        <image:caption><![CDATA[Alibaba this week released Qwen3. 7-Plus, the latest AI large language model (LLM) in its globally beloved and increasingly expansive Qwen family, boasting more multimodal capabilities and a 60% lower cost than the prior, text-only Qwen3.]]></image:caption>
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        <image:title><![CDATA[Perplexity AI unveils hybrid local-cloud inference system at Computex 2026]]></image:title>
        <image:caption><![CDATA[Perplexity AI, the fast-growing search startup now valued at $20 billion, unveiled what it calls the first hybrid local-server inference orchestrator at Computex 2026 on Monday night, demonstrating software that autonomously decides — in real time and mid-task — which AI workloads stay on a user&#x27;s device and which get routed to frontier models in the cloud. CEO Aravind Srinivas demonstrated the system onstage alongside Intel CEO Lip-Bu Tan during Intel&#x27;s keynote address, using Perplexity&#x27;s &quot;Personal Computer&quot; agent to process confidential deal materials.]]></image:caption>
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        <image:title><![CDATA[The Agentic Reckoning: Enterprise AI organizations have a runtime problem, not a model problem — and most are building the wrong solution]]></image:title>
        <image:caption><![CDATA[In Q1 2026, VentureBeat&#x27;s Pulse Research surfaced the “Governance Mirage”: the gap between the governance org charts enterprises had drawn and the control layers they had actually built.  Forty-three percent said a central team owned AI governance; 23% couldn&#x27;t agree on who owned it at all; and 31% named vendor opacity as the single biggest obstacle.]]></image:caption>
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        <image:title><![CDATA[Enterprise AI agents keep creating data silos. Microsoft's Build answer is Microsoft IQ and Rayfin.]]></image:title>
        <image:caption><![CDATA[Every new AI agent your team deploys starts from scratch: no memory of how the business works, where data lives, or what rules apply.  And as agentic coding tools spin up applications faster than anyone can govern them, each one risks becoming another silo outside your data layer entirely.]]></image:caption>
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        <image:title><![CDATA[Microsoft debuts Surface RTX Spark Dev Box to run large AI models without cloud costs]]></image:title>
        <image:caption><![CDATA[Microsoft on Monday unveiled the Surface RTX Spark Dev Box, a compact desktop computer designed to let software developers run large AI models on their desks instead of paying for cloud computing — a move that directly challenges the per-token pricing model that has defined the AI industry&#x27;s economics since ChatGPT launched three and a half years ago. The device, announced at Microsoft Build 2026, packs Nvidia’s new Blackwell-architecture RTX Spark processor and 128 gigabytes of unified memory into a small-form-factor chassis, delivering what Nvidia rates at one petaflop of AI compute.]]></image:caption>
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        <image:title><![CDATA[Microsoft launches MXC, an OS-level sandbox for AI agents, with OpenAI and Nvidia already on board]]></image:title>
        <image:caption><![CDATA[For the past two years, the technology industry has raced to make AI agents more capable — teaching them to write code, navigate software interfaces, manage files, and orchestrate multi-step workflows with increasing autonomy.  What the industry has not done, at least not with any consistency, is answer the question that keeps chief information security officers awake at night: what happens when an agent goes wrong.]]></image:caption>
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        <image:title><![CDATA[OpenAI's Codex update lets agents build interactive enterprise workspaces via Sites and role-specific plugins]]></image:title>
        <image:caption><![CDATA[Agentic AI is moving rapidly from the developer terminal to the corporate world. On Tuesday, OpenAI announced a major update of its agentic AI platform Codex, introducing domain-specific workflows, a rapid, semi-private web hosting feature within it for enterprises called &quot;Sites,&quot; and an in-place editing tool named &quot;Annotations&quot;.]]></image:caption>
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        <image:title><![CDATA[AI agents keep giving confident wrong answers. The context layer is enterprise AI's next production problem.]]></image:title>
        <image:caption><![CDATA[Enterprise AI agents have a new production failure mode, and it is not the model.  As enterprises move from single-layer RAG to hybrid retrieval architectures, the same underlying data produces different answers depending on which agent, tool or system asks the question.]]></image:caption>
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        <image:title><![CDATA[The Download: AI can run your admin department now]]></image:title>
        <image:caption><![CDATA[This is today&#8217;s edition of The Download, our weekday newsletter that provides a daily dose of what&#8217;s going on in the world of technology.  How small businesses can leverage AI From accounting to design to market research and product development, there’s a staggering breadth of skills needed to run a business.]]></image:caption>
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        <image:title><![CDATA[Zip’s new AI agents want to stop your finance team from uploading contracts into personal ChatGPT accounts]]></image:title>
        <image:caption><![CDATA[Zip, the AI procurement platform valued at $2. 2 billion, announced two products on Monday that mark a turning point in its evolution from procurement software to autonomous AI platform: a suite of five AI &quot;Superagents&quot; that can review contracts, code invoices, and negotiate with vendors inside Zip&#x27;s governance framework, and a procurement-native implementation of the Model Context Protocol (MCP) that pipes Zip&#x27;s data directly into AI assistants like Claude and ChatGPT — without sacrificing audit trails or compliance controls.]]></image:caption>
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        <image:title><![CDATA[Rehumanizing global health care with agentic AI]]></image:title>
        <image:caption><![CDATA[The global health care sector is under increasing strain. &#160; Decades of chronic underinvestment and constraints in recruitment have coincided with a surge in demand for services for aging populations.]]></image:caption>
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        <image:title><![CDATA[How small businesses can leverage AI]]></image:title>
        <image:caption><![CDATA[This article is from Making AI Work, MIT Technology Review’s limited-run newsletter examining how to apply LLMs across industries.  To receive it in your inbox,sign up here.]]></image:caption>
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        <image:title><![CDATA[The design bottleneck for solo founders? AI has solved it.]]></image:title>
        <image:caption><![CDATA[Presented by Design. comSomething significant is happening in how people build businesses.]]></image:caption>
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        <image:title><![CDATA[MiniMax-M3 debuts, eclipsing GPT-5.5 and Gemini 3.1 Pro on key benchmark performance for just 5-10% of the cost]]></image:title>
        <image:caption><![CDATA[Big news in enterprise AI broke over the weekend as Chinese AI startup MiniMax released its highly anticipated M3 large language model on Sunday evening Eastern time, pairing frontier-tier coding and agentic performance with a 1-million-token context window and native multimodality for a fraction of the cost of leading proprietary models, with pricing starting at just $20 per month under its new subscription token plans.  The company&#x27;s leadership also announced plans to deliver the model under an open source license including &quot;open weights,&quot; allowing for full enterprise downloading and customizability free-of-charge, coming sometime in the next 10 days.]]></image:caption>
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        <image:title><![CDATA[The Download: China’s brain implant ambitions]]></image:title>
        <image:caption><![CDATA[This is today&#8217;s edition of The Download, our weekday newsletter that provides a daily dose of what&#8217;s going on in the world of technology.  China has approved the world’s first invasive brain-computer chip—here’s what’s next Sitting in the courtyard of his house in China’s Henan province last October, Dong Hui decided to try holding a&#8230;.]]></image:caption>
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        <image:title><![CDATA[China has approved the world’s first invasive brain-computer chip—here’s what’s next]]></image:title>
        <image:caption><![CDATA[One day last October, sitting in the courtyard of his house in China’s Henan province, Dong Hui decided to see if he could hold a pen to write. &#160; Dong, 39, had sustained spinal cord injuries in a car accident six years earlier that left him paralyzed from the neck down.]]></image:caption>
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        <image:title><![CDATA[AI doesn't break security. Complexity does ]]></image:title>
        <image:caption><![CDATA[Presented by SnowflakeToo often, the history of enterprise security has been a history of making things harder to use.  A new threat emerges, a new control gets bolted on, and somewhere in the process, people start working around the very systems designed to protect them.]]></image:caption>
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        <image:title><![CDATA[Claude Mythos exposed a hard truth: Your enterprise patching process is way too slow]]></image:title>
        <image:caption><![CDATA[In 2024, researchers from the University of Illinois found that GPT-4, when provided with a common vulnerabilities and exposures (CVE) description, could autonomously exploit 87% of a curated 15-vulnerability one-day dataset.  Without the description, it could only exploit 7%.]]></image:caption>
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        <image:title><![CDATA[The AI agent bottleneck isn't model performance — it's permissions]]></image:title>
        <image:caption><![CDATA[Enterprise AI agents are stalling — not because of model performance, but because of permissioning.  Every agentic workflow eventually hits the same wall: what is this agent allowed to touch, on whose behalf, and how does the system know.]]></image:caption>
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        <image:title><![CDATA[MIT's MeMo lets teams swap in a better LLM without retraining — and performance jumps 26%]]></image:title>
        <image:caption><![CDATA[Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a framework from researchers at multiple universities, encodes new knowledge into a dedicated smaller memory model that operates separately from the main LLM.]]></image:caption>
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        <image:title><![CDATA[MeMo's memory model lets teams upgrade their LLM without retraining it — and performance jumps 26%]]></image:title>
        <image:caption><![CDATA[Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a framework from researchers at multiple universities, encodes new knowledge into a dedicated smaller memory model that operates separately from the main LLM.]]></image:caption>
      </image:image>
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        <image:title><![CDATA[Pinterest cut AI costs 90% by gutting a frontier model's vision layer]]></image:title>
        <image:caption><![CDATA[At 620 million monthly users, calling a frontier model for every image recommendation isn&#x27;t a strategy — it&#x27;s a bill.  Pinterest CTO Matt Madrigal solved it by gutting Qwen3-VL&#x27;s vision layer and rebuilding it with proprietary embeddings, cutting costs 90% and boosting accuracy 30%.]]></image:caption>
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        <image:title><![CDATA[AI agents are entering their rebuild era as enterprises confront the reliability problem]]></image:title>
        <image:caption><![CDATA[As enterprise AI agents move into production, organizations are confronting a growing reliability problem.  Many teams are discovering that LLM performance alone does not determine whether agents succeed in production.]]></image:caption>
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        <image:title><![CDATA[The Download: unlocking lithium and controlling Ebola]]></image:title>
        <image:caption><![CDATA[This is today&#8217;s edition of The Download, our weekday newsletter that provides a daily dose of what&#8217;s going on in the world of technology.  How a new extraction process could unlock the world’s lithium A new method for extracting lithium could cut costs and emissions from one of the world’s most important materials for EVs&#8230;.]]></image:caption>
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        <image:title><![CDATA[The deadly Ebola outbreak is proving difficult to control]]></image:title>
        <image:caption><![CDATA[The alert was raised on May 5.  Four health-care workers in the Ituri Province of the Democratic Republic of the Congo had died from an unknown illness within four days.]]></image:caption>
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        <image:title><![CDATA[How the Pope’s Magnifica Humanitas offers a template for individuals to meet the AI moment]]></image:title>
        <image:caption><![CDATA[Pope Leo XIV’s new encyclical on artificial intelligence includes a statement that warrants serious attention from technologists and policymakers: “Technology is never neutral. ” Magnifica Humanitas (“Magnificent Humanity”) is a clarion call to all people to act with courage and solidarity as we enter an age already being transformed by artificial intelligence, the greatest change in&#8230;.]]></image:caption>
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        <image:title><![CDATA[Researchers automated LLM reasoning strategy design and cut token usage by 69.5%]]></image:title>
        <image:caption><![CDATA[Test-time scaling (TTS) has emerged as a proven method to improve the performance of large language models in real-world applications by giving them extra compute cycles at inference time.  However, TTS strategies have historically been handcrafted, relying heavily on human intuition to dictate the rules of the model’s reasoning.]]></image:caption>
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        <image:title><![CDATA[Mistral AI launches Vibe, expands into industrial AI and announces data center push to challenge OpenAI]]></image:title>
        <image:caption><![CDATA[Mistral AI used its first-ever developer conference on Wednesday to announce a sweeping expansion into industrial manufacturing, a new inference data center south of Paris, and a rebranding of its consumer-facing assistant — moves that collectively signal the three-year-old French startup&#x27;s ambition to become the enterprise AI provider of record for companies that refuse to hand their most sensitive data to American hyperscalers. At the AI NOW Summit, held at a venue in central Paris, co-founder and CEO Arthur Mensch took the stage alongside CTO Timothée Lacroix and Chief Scientist Guillaume Lample to lay out a strategy that stretches from bare-metal GPU clusters to physics simulations for aircraft wings.]]></image:caption>
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        <image:title><![CDATA[Data Formulator 0.7: AI-powered data analytics for enterprise data]]></image:title>
        <image:caption><![CDATA[Data Formulator introduces AI-powered analytics for enterprise data workflows.  Data teams can easily bring enterprise data into an AI-ready workspace where users can explore, analyze, and visualize data with AI agents to turn raw data into actionable insights.]]></image:caption>
      </image:image>
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        <image:title><![CDATA[Are designers the new SWEs? Figma Make's new two-way GitHub integration turns designs into live, production code — with built-in governance]]></image:title>
        <image:caption><![CDATA[Cloud design software company Figma is officially transforming its AI design assistant, Figma Make, from a prototyping sandbox into a live, visual software editor that connects natively to production codebases.  Announced today, the update allows product managers, designers, and non-technical builders to import an existing Git repository directly into the Figma desktop app, visually edit the application&#x27;s underlying code via the canvas, and push those changes back to engineering through standard GitHub pull requests.]]></image:caption>
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        <image:title><![CDATA[SQL query logs hold the context AI agents need to stop hallucinating joins]]></image:title>
        <image:caption><![CDATA[When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time.  The problem wasn’t the model — it was context.]]></image:caption>
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        <image:title><![CDATA[The Download: climate tech goes public and the AI Hype Index returns]]></image:title>
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        <image:title><![CDATA[The AI Hype Index: AI gets booed in graduation season]]></image:title>
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        <image:title><![CDATA[MiniMax teases upcoming M3 model with new sparse attention mechanism and 15.6X long-context response speed boost]]></image:title>
        <image:caption><![CDATA[Among the many Chinese AI companies and laboratories vying for market share and attention (no pun intended) on the global marketplace, MiniMax stands out for its commitment to providing frontier-level intelligence across a range of modalities, including text, coding, and video (through its Hailuo model series) — often under permissive, enterprise-friendly, standard open source licenses.  Now, MiniMax is again raising the eyebrows of AI power users and developers around the world by releasing a new, in-depth technical report on the making of its popular M2 series of language models (M2, M2.]]></image:caption>
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        <image:title><![CDATA[Merck and Mastercard are seeing real agentic AI results. Both say the plumbing came first.]]></image:title>
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        <image:title><![CDATA[Extending Human Intelligence Through AI]]></image:title>
        <image:caption><![CDATA[Understanding AI as an extension of human intelligence—not a replacement for it—offers a more grounded path for building trustworthy AI systems. 
The post Extending Human Intelligence Through AI appeared first on Microsoft Research.]]></image:caption>
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        <image:title><![CDATA[DataGrail report finds your vendor may be sending data to AI models you never approved]]></image:title>
        <image:caption><![CDATA[The data processing agreement (DPA) — the bedrock contract companies use to evaluate how vendors handle personal data — can no longer be trusted at face value.  That is the central, and arguably most alarming, conclusion of DataGrail&#x27;s Privacy and AI Trends Report 2026, released today.]]></image:caption>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[The Download: keeping up with AI, and the future of IVF]]></image:title>
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        <image:title><![CDATA[DeepSWE blows up the AI coding leaderboard, crowns GPT-5.5, and finds Claude Opus exploiting a benchmark loophole]]></image:title>
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        <image:title><![CDATA[Rethinking organizational design in the age of agentic AI]]></image:title>
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        <image:title><![CDATA[The Download: puncturing the AI jobs panic]]></image:title>
        <image:caption><![CDATA[This is today&#8217;s edition of The Download, our weekday newsletter that provides a daily dose of what&#8217;s going on in the world of technology.  A reality check on the AI jobs hysteria Despite the growing hysteria over AI’s threat to white-collar jobs, there’s still scant evidence that the technology has had a large-scale impact on&#8230;.]]></image:caption>
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        <image:title><![CDATA[A reality check on the AI jobs hysteria]]></image:title>
        <image:caption><![CDATA[Haven’t you heard.  White-collar jobs are going away, decimated by AI.]]></image:caption>
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        <image:title><![CDATA[It’s time to address the looming crisis in entry-level work.]]></image:title>
        <image:caption><![CDATA[Artificial intelligence has not so far produced a clean story of mass unemployment.  Aggregate employment in developed countries remains broadly stable, and recent assessments have found limited evidence that AI has shifted the headline numbers.]]></image:caption>
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        <image:title><![CDATA[Valid certificates, stolen accounts: how attackers broke npm's last trust signal]]></image:title>
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        <image:title><![CDATA[Your AI agents need a terminal, not just a vector database]]></image:title>
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        <image:title><![CDATA[D&B's database of 642 million businesses was built for humans, not AI agents. So they rebuilt it.]]></image:title>
        <image:caption><![CDATA[Dun &amp; Bradstreet has spent over 180 years building a comprehensive commercial database.  Its Commercial Graph, covering 642 million businesses and their relationships, corporate hierarchies and risk profiles, was designed for people.]]></image:caption>
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        <image:title><![CDATA[The Download: coding’s future, the ‘Steroid Olympics,’ and AI-driven science]]></image:title>
        <image:caption><![CDATA[This is today&#8217;s edition of The Download, our weekday newsletter that provides a daily dose of what&#8217;s going on in the world of technology.  Anthropic’s Code with Claude showed off coding’s future—whether you like it or not At Anthropic’s developer event in London this week, Code with Claude, attendees were asked if they’d shipped code&#8230;.]]></image:caption>
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        <image:title><![CDATA[Google I/O showed how the path for AI-driven science is shifting]]></image:title>
        <image:caption><![CDATA[During Tuesday’s Google I/O keynote, Demis Hassabis, the CEO of Google DeepMind, proclaimed that we are currently “standing in the foothills of the singularity. ” It was a striking statement—the singularity is the theoretical future moment when AI rapidly exceeds human intelligence and dramatically transforms the world.]]></image:caption>
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        <image:title><![CDATA[Alibaba's proprietary Qwen3.7-Max can run for 35 hours autonomously and supports external harnesses like Anthropic's Claude Code]]></image:title>
        <image:caption><![CDATA[The AI industry has fully entered the &quot;agent era,&quot; a paradigm where AI models do far more than generate text — they now actively plan, execute, and course-correct complex tasks over days rather than seconds.  Thus, it&#x27;s perhaps unsurprising to see Chinese e-commerce giant Alibaba&#x27;s famed Qwen Team of AI researchers release a model capable of performing autonomous agentic AI work over multiple days: that model has arrived in the form of Qwen3.]]></image:caption>
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        <image:title><![CDATA[Roundtables: Can AI Learn to Understand the World?]]></image:title>
        <image:caption><![CDATA[Listen to the session or watch below AI companies want to build systems that understand the external world and overcome the limitations of LLMs.  Recent developments have brought world models to the forefront of the AI discussion.]]></image:caption>
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        <image:title><![CDATA[Scaling creativity in the age of AI]]></image:title>
        <image:caption><![CDATA[Storytelling is core to humanity&#8217;s DNA, stemming from our impulse to express ideals, warnings, hopes, and experiences.  Technology has always been woven through the medium and the distribution: from early humans&#8217; innovation of natural pigments and charcoals for cave paintings to literal representation by the camera.]]></image:caption>
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    </url>
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        <image:title><![CDATA[A 0.12% parameter add-on gives AI agents the working memory RAG can't]]></image:title>
        <image:caption><![CDATA[AI agents forget.  Every time a coding assistant loses track of a debugging thread, or a data analysis agent re-ingests the same context it already processed, the team pays in latency, token costs, and brittle workflows.]]></image:caption>
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        <image:title><![CDATA[MagenticLite, MagenticBrain, Fara1.5: An agentic experience optimized for small models]]></image:title>
        <image:caption><![CDATA[MagenticLite is an agentic system for small models that works across the browser and local file system in a single workflow.  It combines specialized models and orchestration to support efficient agentic performance on everyday tasks.]]></image:caption>
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        <image:title><![CDATA[Americans can’t spot a deepfake, and that’s a business crisis, not just a consumer problem]]></image:title>
        <image:caption><![CDATA[Presented by Veriff Americans can’t reliably distinguish real from AI-generated content, and that’s not just a media literacy problem; it’s a direct threat to how businesses verify identity online. New research finds that while many people are aware of deepfakes, their ability to distinguish them from reality is barely better than a coin flip.]]></image:caption>
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        <image:title><![CDATA[Vega: Zero-knowledge proofs for digital identity in the age of AI]]></image:title>
        <image:caption><![CDATA[Vega turns a full credential into a single proof, sharing only what is needed and nothing more, with performance that works in real apps.  
The post Vega: Zero-knowledge proofs for digital identity in the age of AI appeared first on Microsoft Research.]]></image:caption>
      </image:image>
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        <image:title><![CDATA[Resolve AI says the AI coding boom is breaking production systems. It wants to fix that.]]></image:title>
        <image:caption><![CDATA[Resolve AI, the production-operations startup backed by Greylock and Lightspeed Venture Partners, today announced a sweeping expansion of its platform that introduces always-on background agents, a redesigned investigation architecture, and a shared workspace where engineers and AI agents collaborate in real time on live incidents. The centerpiece of the release is a new multi-agent investigation system developed by Resolve AI&#x27;s in-house research lab.]]></image:caption>
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        <image:title><![CDATA[Kore.ai launches Artemis AI agent platform, expands challenge to Microsoft and Salesforce]]></image:title>
        <image:caption><![CDATA[Kore. ai on Wednesday launched what amounts to a ground-up reinvention of its core technology: the Artemis edition of its Agent Platform, a system designed to let enterprises build, govern, and optimize AI agents using AI itself — compressing what has traditionally been months of engineering work into days.]]></image:caption>
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        <image:title><![CDATA[AI didn’t kill brand consistency — it made it mission-critical]]></image:title>
        <image:caption><![CDATA[Presented by Design. comGenerative AI has made design radically more accessible.]]></image:caption>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[The Download: online safety’s future and climate tech’s big pivot]]></image:title>
        <image:caption><![CDATA[This is today&#8217;s edition of The Download, our weekday newsletter that provides a daily dose of what&#8217;s going on in the world of technology.  Tech researchers are suing the Trump administration over the future of online safety For months, the Trump administration has been going after researchers who study and try to counter hate speech,&#8230;.]]></image:caption>
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        <image:title><![CDATA[Cohere cracks lossless quantization and native citations with first full Apache 2.0 licensed open model Command A+]]></image:title>
        <image:caption><![CDATA[Canadian AI lab Cohere made waves recently by announcing a merger with German AI startup Aleph Alpha, but now it has even more in store for enterprise builders around the globe: today, the firm co-founded by former Googler and &quot;Attention Is All You Need&quot; co-author Aidan Gomez unveiled Command A+, a highly optimized, 218-billion-parameter language model engineered specifically for complex reasoning, multimodal document processing, and agentic workflows. The most significant aspect of the release is not just the model’s capabilities; it is its accessibility.]]></image:caption>
      </image:image>
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        <image:title><![CDATA[Cerebras says its chips run a trillion-parameter AI model nearly 7 times faster than GPU clouds]]></image:title>
        <image:caption><![CDATA[Less than a week after completing the largest tech IPO of 2026, Cerebras Systems is making its most aggressive play yet to dominate the fast-growing AI inference market.  On Monday, the Sunnyvale-based chipmaker announced that it is now running Kimi K2.]]></image:caption>
      </image:image>
    </url>
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        <image:title><![CDATA[Enterprise AI agents keep failing because they forget what they learned]]></image:title>
        <image:caption><![CDATA[RAG architectures are good at one thing: surfacing semantically relevant documents.  That&#x27;s also where they stop.]]></image:caption>
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        <image:title><![CDATA[GitHub confirms 3,800 internal repos stolen through poisoned VS Code extension as supply chain worm hits Microsoft’s Python SDK]]></image:title>
        <image:caption><![CDATA[GitHub confirmed on May 20 that a poisoned VS Code extension installed on an employee’s device gave attackers access to roughly 3,800 internal repositories at the Microsoft-owned code storage and authorship platform.  The threat group TeamPCP, formally tracked by Google Threat Intelligence Group as UNC6780, claimed responsibility and is advertising the stolen repositories for sale starting at $50,000.]]></image:caption>
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        <image:title><![CDATA[NanoClaw's creators are turning the secure, open source AI agent harness into an enterprise 'second brain']]></image:title>
        <image:caption><![CDATA[The creators of NanoClaw — the hit open source, enterprise-friendly variant of autonomous AI agent harness OpenClaw — are moving towards commercializing their technology for enterprises at scale, aiming to provide them with secure AI agents, and an ever-updating library of workplace context, for each human employee the enterprise has approved. The duo, including former Wix.]]></image:caption>
      </image:image>
    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[Boston Metal gets a $75 million lifeline to produce critical metals]]></image:title>
        <image:caption><![CDATA[The startup Boston Metal has raised a $75 million funding round to produce critical metals, MIT Technology Review can exclusively report. &#160;&#160; The company has been known largely for its efforts to clean up steel production, an industry that&#8217;s responsible for about 8% of global greenhouse emissions today.]]></image:caption>
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    <url>
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        <image:title><![CDATA[The Download: fully artificial chicken eggs and why Musk lost]]></image:title>
        <image:caption><![CDATA[This is today&#8217;s edition of The Download, our weekday newsletter that provides a daily dose of what&#8217;s going on in the world of technology.  Colossal Biosciences is growing chickens in a 3D-printed artificial eggshell The baby chicks were shifting and starting to pip—or trying to hatch.]]></image:caption>
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    </url>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[ Corti's new Symphony for Speech-to-Text model beats OpenAI at medical terminology accuracy, highlighting the value of specialized AI]]></image:title>
        <image:caption><![CDATA[Today, Copenhagen-based healthcare AI Corti is launching Symphony for Speech-to-Text, a new generation of clinical-grade speech recognition models engineered specifically for real-time dictation, conversational transcription, and batch audio processing — and their accuracy rate is the highest for this specific use case yet recorded. &quot;We are focused on ensuring our AI scribes can be trusted by physicians, medical practitioners and patients.]]></image:caption>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[AWS nabs white hot gen AI media creation startup fal, becoming its preferred cloud provider]]></image:title>
        <image:caption><![CDATA[Generative AI’s rapid transition from text-based chatbots to high-fidelity media—spanning images, video, spatial 3D, and audio—has exposed a glaring bottleneck in the modern tech stack: infrastructure.  Rendering pixels in real-time requires a staggering amount of compute, and developers are increasingly struggling to manage fragmented GPU clusters just to keep their applications online.]]></image:caption>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[Roundtables: Inside the Musk v. Altman Trial]]></image:title>
        <image:caption><![CDATA[Listen to the session or watch below Elon Musk lost his suit against OpenAI, in which he alleged CEO Sam Altman and President Greg Brockman had deceived him over the company’s non-profit status.  Watch as AI reporter and attorney Michelle Kim, who covered the trial for MIT Technology Review, joins in conversation with editor in&#8230;.]]></image:caption>
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    </url>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[Claude agents can finally connect to enterprise APIs without leaking credentials]]></image:title>
        <image:caption><![CDATA[The reason enterprises have been slow to connect AI agents to internal APIs and databases isn&#x27;t the models — it&#x27;s the credentials.  In most production deployments, the agent carries authentication tokens with it as it executes tool calls, which means a compromised or misbehaving agent takes the keys with it.]]></image:caption>
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    </url>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[Google’s new AI agent can draft your emails, monitor your inbox and eventually spend your money]]></image:title>
        <image:caption><![CDATA[Google on Tuesday unveiled Gemini Spark, a personal AI agent designed to work around the clock — drafting emails, assembling documents, monitoring inboxes, and eventually making purchases — even when a user&#x27;s laptop is closed and their phone is locked. The announcement, made at Google I/O 2026, is the company&#x27;s most ambitious attempt yet to transform its AI assistant from a tool that answers questions into one that autonomously completes tasks.]]></image:caption>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[Google says Gemini 3.5 Flash can slash enterprise AI costs by more than $1 billion a year]]></image:title>
        <image:caption><![CDATA[Google unveiled Gemini 3. 5 Flash at its annual I/O developer conference on Tuesday, a new artificial intelligence model that the company says shatters what had become a seemingly iron law of the AI industry: that the smartest models must also be the slowest and most expensive to run.]]></image:caption>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[Google unveils Gemini Omni 'any-to-any' AI model: what enterprises should know]]></image:title>
        <image:caption><![CDATA[Although it was already discovered by intrepid AI power users weeks ahead of the official unveiling today at Google&#x27;s annual I/O developer conference, the company&#x27;s new Gemini Omni model marks a significantly new paradigm in the wider AI and tech marketplace. That&#x27;s because as its &quot;omni&quot; (from the Latin omne — meaning &quot;all&quot;) prefix would suggest, this is Google&#x27;s first truly native, multimodal model, that is &quot;a model that can create anything from any input — starting with video.]]></image:caption>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[OpenAI co-founder Andrej Karpathy announces he's joining Anthropic]]></image:title>
        <image:caption><![CDATA[Andrej Karpathy, the influential 39-year-old Slovak-Canadian AI researcher and one of the original 11 co-founders of OpenAI, and former head of Tesla&#x27;s AI division, announced on Tuesday, May 19 that he&#x27;s joining rival lab Anthropic. As Karpathy posted from his account on the social network X: &quot;Personal update: I&#x27;ve joined Anthropic.]]></image:caption>
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    </url>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[Understanding the modern cybercrime landscape]]></image:title>
        <image:caption><![CDATA[Throughout 2025, HPE observed significant changes in how cybercriminals operate.  Analyzing real-world threats, our HPE Threat Labs highlighted an industrialization of the cyber criminals’ methods in its new In the Wild Report, enabling greater scale, speed and structure in their campaigns.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[The Download: Musk v. Altman, smart glasses for warfare, and Google I/O]]></image:title>
        <image:caption><![CDATA[This is today&#8217;s edition of The Download, our weekday newsletter that provides a daily dose of what&#8217;s going on in the world of technology.  Here’s why Elon Musk lost his suit against OpenAI Elon Musk has lost his lawsuit against OpenAI, which centered on whether the company breached its founding contract as a nonprofit.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/26184267/pexels-photo-26184267.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[Colossal Biosciences is growing chickens in a 3D-printed container]]></image:title>
        <image:caption><![CDATA[The baby chicks were shifting and starting to pip—or trying to hatch.  But not from an egg.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/30918009/pexels-photo-30918009.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[Here’s why Elon Musk lost his suit against OpenAI]]></image:title>
        <image:caption><![CDATA[On Monday, the jury in Musk v.  Altman dealt Elon Musk a major blow—reaching a unanimous advisory verdict that he had sued OpenAI too late and, as a result, his claims are barred by the applicable statutes of limitations.]]></image:caption>
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        <image:title><![CDATA[Context architecture is replacing RAG as agentic AI pushes enterprise retrieval to its limits]]></image:title>
        <image:caption><![CDATA[Redis built its name as the caching layer that kept web applications from collapsing under load.  The problem it is targeting now has the same structure but is harder to solve: production AI agents failing not because the models are wrong, but because the data underneath them is scattered, stale and structured for humans rather than machines.]]></image:caption>
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    </url>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[What to expect from Google this week]]></image:title>
        <image:caption><![CDATA[This story originally appeared in The Algorithm, our weekly newsletter on AI.  To get stories like this in your inbox first, sign up here.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[Four AI supply-chain attacks in 50 days exposed the release pipeline red teams aren't covering]]></image:title>
        <image:caption><![CDATA[Four supply-chain incidents hit OpenAI, Anthropic and Meta in 50 days: three adversary-driven attacks and one self-inflicted packaging failure.  None targeted the model, and all four exposed the same gap: release pipelines, dependency hooks, CI runners, and packaging gates that no system card, AISI evaluation, or Gray Swan red-team exercise has ever scoped.]]></image:caption>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[LangSmith Engine closes the agent debugging loop automatically — but multi-model enterprises still need a neutral layer]]></image:title>
        <image:caption><![CDATA[Enterprises building and deploying agents have a problem: it’s taking their engineers too long to find out that an agent made a mistake, and the loop has continued to perpetuate, especially without a human at every step.  LangSmith, the monitoring and evaluation platform from LangChain, launched a new capability in public beta that could make that issue more manageable.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[Inside Anduril and Meta’s quest to make smart glasses for warfare]]></image:title>
        <image:caption><![CDATA[The defense-tech company Anduril has shared new details about the augmented-reality headset for the military it’s prototyping with Meta, including a vision for ordering drone strikes via eye-tracking and voice commands.  Quay Barnett, who leads the efforts as a vice president at Anduril following a career in the Army’s Special Operations Command, says his fundamental&#8230;.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/30917956/pexels-photo-30917956.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[The Download: Musk v. Altman week 3, and Trump’s tech trading]]></image:title>
        <image:caption><![CDATA[This is today&#8217;s edition of The Download, our weekday newsletter that provides a daily dose of what&#8217;s going on in the world of technology.  Musk v.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/17485741/pexels-photo-17485741.png?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production]]></image:title>
        <image:caption><![CDATA[Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data.  The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via cosine similarity — is effective for unstructured semantic search.]]></image:caption>
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    </url>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[The enterprise risk nobody is modeling: AI is replacing the very experts it needs to learn from]]></image:title>
        <image:caption><![CDATA[For AI systems to keep improving in knowledge work, they need either a reliable mechanism for autonomous self-improvement or human evaluators capable of catching errors and generating high-quality feedback.  The industry has invested enormously in the first.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/30945293/pexels-photo-30945293.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[Musk v. Altman week 3: Musk and Altman traded blows over each other’s credibility. Now the jury will pick a side.]]></image:title>
        <image:caption><![CDATA[In the final week of the Musk v.  Altman trial, lawyers traded blows over Elon Musk’s and OpenAI CEO Sam Altman’s credibility.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[Intercom, now called Fin, launches an AI agent whose only job is managing another AI agent]]></image:title>
        <image:caption><![CDATA[The company formerly known as Intercom just did something that no major customer service platform has attempted at scale: it built an AI agent whose sole job is to manage another AI agent. Fin Operator, announced Thursday at a live event in San Francisco, is a new AI-powered system designed specifically for the back-office teams that configure, monitor, and improve Fin, the company&#x27;s customer-facing AI agent.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[How RecursiveMAS speeds up multi-agent inference by 2.4x and reduces token usage by 75%]]></image:title>
        <image:caption><![CDATA[One of the key challenges of current multi-agent AI systems is that they communicate by generating and sharing text sequences, which introduces latency, drives up token costs, and makes it difficult to train the entire system as a cohesive unit.  To overcome this challenge, researchers at University of Illinois Urbana-Champaign and Stanford University developed RecursiveMAS, a framework that enables agents to collaborate and transmit information through embedding space instead of text.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/18069695/pexels-photo-18069695.png?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[Further Notes on Our Recent Research on AI Delegation and Long-Horizon Reliability]]></image:title>
        <image:caption><![CDATA[Our recent paper, “LLMs Corrupt Your Documents When You Delegate”, has generated discussion about the reliability of AI systems in delegated workflows.  We appreciate the interest in this work and want to clarify several important points about what the paper does—and does not—claim.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/8386440/pexels-photo-8386440.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[Claude’s next enterprise battle is not models: it’s the agent control plane]]></image:title>
        <image:caption><![CDATA[New VB Pulse data shows Microsoft and OpenAI leading enterprise agent orchestration, but Anthropic’s first measurable foothold points to a larger fight over who controls the infrastructure where AI agents run. For the last two years, the enterprise AI race has mostly been framed as a model war: OpenAI’s GPT series versus Anthropic’s Claude versus Google’s Gemini, with smaller and open-source alternatives also coming in from the U.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
      <image:image>
        <image:loc>https://images.pexels.com/photos/8386440/pexels-photo-8386440.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[The Download: China’s AI drama factory and the WHO’s missing health targets]]></image:title>
        <image:caption><![CDATA[This is today&#8217;s edition of The Download, our weekday newsletter that provides a daily dose of what&#8217;s going on in the world of technology.  How Chinese short dramas became AI content machines China’s short drama industry is fueled by bite-sized, melodramatic, and smutty shows built for smartphone scrolling.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[How Chinese short dramas became AI content machines]]></image:title>
        <image:caption><![CDATA[In a dimly lit bedroom, a frightened young woman is thrown onto a bed by a tall, muscular man.  He grabs her hand, and flame-like vines crawl across her body, fusing with her flesh.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/34804017/pexels-photo-34804017.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[Developers can now debug and evaluate AI agents locally with Raindrop's open source tool Workshop]]></image:title>
        <image:caption><![CDATA[Observability startup Raindrop AI’s new open source, MIT Licensed &quot;Workshop&quot; tool, launched today, gives developers something that they&#x27;ve likely wanted, perhaps subconsciously, since the agentic AI era kicked off in earnest last year: a local debugger and evaluation tool specifically designed for AI agents, allowing devs to see all the traces of what their agent has been doing in a single, lightweight Structured Query Language (SQL) database file (. db)It functions as a local daemon and UI that streams every token, tool call, and decision to a local dashboard—typically hosted at localhost:5899—the moment it occurs.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/40879/cpu-processor-macro-pen-40879.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[Cerebras stock nearly doubles on day one as AI chipmaker hits $100 billion — what it means for AI infrastructure]]></image:title>
        <image:caption><![CDATA[Cerebras Systems, the Silicon Valley chipmaker that built the world&#x27;s largest commercial AI processor, erupted onto the Nasdaq on Wednesday, opening at $350 per share — nearly double its $185 IPO price — and rocketing past a $100 billion market capitalization in its first hours of trading.  The debut instantly crowned Cerebras as one of the most valuable semiconductor companies on Earth and validated a decade-long bet that the AI industry would eventually demand a fundamentally different kind of chip.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/4389465/pexels-photo-4389465.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[Enterprises can now train custom AI models from production workflows — no ML team required]]></image:title>
        <image:caption><![CDATA[Every query an enterprise AI application processes, every correction a subject matter expert makes to its output — that interaction is training data.  Most organizations are not capturing it.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/18475682/pexels-photo-18475682.jpeg?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[Data readiness for agentic AI in financial services]]></image:title>
        <image:caption><![CDATA[Financial services companies have unique needs when it comes to business AI.  They operate in one of the most highly regulated sectors while responding to external events that are updated by the second.]]></image:caption>
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    </url>
    <url>
      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:loc>https://images.pexels.com/photos/18069696/pexels-photo-18069696.png?auto=compress&amp;cs=tinysrgb&amp;fit=crop&amp;h=627&amp;w=1200</image:loc>
        <image:title><![CDATA[Establishing AI and data sovereignty in the age of autonomous systems]]></image:title>
        <image:caption><![CDATA[When generative AI first moved from research labs into real-world business applications, enterprises made a tacit bargain: “Capability now, control later. ” Feed your proprietary data into third-party AI models, and you will get powerful results.]]></image:caption>
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    </url>
    <url>
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        <image:title><![CDATA[The Download: deepfake porn’s stolen bodies and AI sharing private numbers]]></image:title>
        <image:caption><![CDATA[This is today&#8217;s edition of The Download, our weekday newsletter that provides a daily dose of what&#8217;s going on in the world of technology.  The shock of seeing your body used in deepfake porn When Jennifer got a research job in 2023, she ran her new professional headshot through a facial recognition program.]]></image:caption>
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        <image:title><![CDATA[AI IQ is here: a new site scores frontier AI models on the human IQ scale. The results are already dividing tech.]]></image:title>
        <image:caption><![CDATA[For decades, the IQ test has been one of the most familiar — and most contested — yardsticks for human intelligence.  Now, a startup project called AI IQ is applying the same metaphor to artificial intelligence, assigning estimated intelligence quotients to more than 50 of the world&#x27;s most powerful language models and plotting them on a standard bell curve.]]></image:caption>
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        <image:title><![CDATA[Anthropic reinstates OpenClaw and third-party agent usage on Claude subscriptions — with a catch]]></image:title>
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        <image:title><![CDATA[Anthropic finally beat OpenAI in business AI adoption — but 3 big threats could erase its lead]]></image:title>
        <image:caption><![CDATA[For the first time since the AI race began, more American businesses are paying for Anthropic&#x27;s Claude than for OpenAI&#x27;s ChatGPT.  Adoption of Anthropic rose 3.]]></image:caption>
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        <image:title><![CDATA[Frontier AI models don't just delete document content — they rewrite it, and the errors are nearly impossible to catch]]></image:title>
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        <image:title><![CDATA[AI chatbots are giving out people’s real phone numbers]]></image:title>
        <image:caption><![CDATA[People report that their personal contact info was surfaced by Google AI—and there’s apparently no easy way to prevent it. &#160; A Redditor recently wrote that he was “desperate for help”: for about a month, he said, his phone had been inundated by calls from “strangers” who were “looking for a lawyer, a product designer, a&#8230;.]]></image:caption>
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        <image:title><![CDATA[The Download: making drugs in orbit and NASA’s nuclear-powered spacecraft]]></image:title>
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        <image:title><![CDATA[AI Bias in Hiring Tools: Real Disasters and How Teams Fixed Them]]></image:title>
        <image:caption><![CDATA[Tame Your AlgoContinue reading on Becoming Human: Artificial Intelligence Magazine ».]]></image:caption>
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        <image:title><![CDATA[Protect your enterprise now from the Shai-Hulud worm and npm vulnerability in 6 actionable steps]]></image:title>
        <image:caption><![CDATA[Any development environment that installed or imported one of the 172 compromised npm or PyPI packages published since May 11 should be treated as potentially compromised.  On affected developer workstations, the worm harvests credentials from over 100 file paths: AWS keys, SSH private keys, npm tokens, GitHub PATs, HashiCorp Vault tokens, Kubernetes service accounts, Docker configs, shell history, and cryptocurrency wallets.]]></image:caption>
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        <image:title><![CDATA[Perceptron Mk1 shocks with highly performant video analysis AI model 80-90% cheaper than Anthropic, OpenAI & Google]]></image:title>
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        <image:title><![CDATA[World Models: 10 Things That Matter in AI Right Now]]></image:title>
        <image:caption><![CDATA[World models recently made our list of 10 Things That Matter in AI Right Now.  Watch executive editor Niall Firth explain why this emerging area of AI is gaining so much attention.]]></image:caption>
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        <image:title><![CDATA[Advancing AI for materials with MatterSim: experimental synthesis, faster simulation, and multi-task models]]></image:title>
        <image:caption><![CDATA[MatterSim is expanding what AI can do for materials science—from faster large-scale simulations to MatterSim-MT, a new multi-task model for simulating properties beyond potential energy surfaces alone. 
The post Advancing AI for materials with MatterSim: experimental synthesis, faster simulation, and multi-task models appeared first on Microsoft Research.]]></image:caption>
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        <image:title><![CDATA[The Download: a Nobel winner on AI, and the case for fixing everything]]></image:title>
        <image:caption><![CDATA[This is today&#8217;s edition of The Download, our weekday newsletter that provides a daily dose of what&#8217;s going on in the world of technology.  Three things in AI to watch, according to a Nobel-winning economist A few months before he won the Nobel Prize in economics in 2024, Daron Acemoglu published a paper that earned&#8230;.]]></image:caption>
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        <image:title><![CDATA[Is your enterprise adaptive to AI?]]></image:title>
        <image:caption><![CDATA[Presented by EdgeVerveFor most enterprises, AI adoption began with a straightforward ambition: automate work faster, cheaper, and at scale.  Chatbots replaced basic service requests, machine‑learning models optimized forecasts, and analytics dashboards promised sharper insights.]]></image:caption>
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        <image:title><![CDATA[Turning AI cost spikes into strategic growth opportunities]]></image:title>
        <image:caption><![CDATA[Presented by Apptio, an IBM companyAI spending is surging, but the full impact often remains an open question.  Closing the gap requires clear answers to how AI is governed, measured, and tied to business outcomes.]]></image:caption>
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        <image:title><![CDATA[Thinking Machines shows off preview of near-realtime AI voice and video conversation with new 'interaction models']]></image:title>
        <image:caption><![CDATA[Is AI leaving the era of &quot;turn-based&quot; chat. Right now, all of us who use AI models regularly for work or in our personal lives know that the basic interaction mode across text, imagery, audio, and video remains the same: the human user provides an input, waits anywhere between milliseconds to minutes (or in some cases, for particularly tough queries, hours and days), and the AI model provides an output.]]></image:caption>
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        <image:title><![CDATA[Three things in AI to watch, according to a Nobel-winning economist]]></image:title>
        <image:caption><![CDATA[This story originally appeared in The Algorithm, our weekly newsletter on AI.  To get stories like this in your inbox first, sign up here.]]></image:caption>
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    </url>
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        <image:title><![CDATA[SocialReasoning-Bench: Measuring whether AI agents act in users’ best interests]]></image:title>
        <image:caption><![CDATA[Using SocialReasoning Bench, we observed a stable pattern across models—agents execute competently, but fail to consistently improve the user’s position, even with explicit instructions to optimize for user interest. 
The post SocialReasoning-Bench: Measuring whether AI agents act in users’ best interests appeared first on Microsoft Research.]]></image:caption>
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        <image:title><![CDATA[AI agents are running hospital records and factory inspections. Enterprise IAM was never built for them.]]></image:title>
        <image:caption><![CDATA[A doctor in a hospital exam room watches as a medical transcription agent updates electronic health records, prompts prescription options, and surfaces patient history in real time.  A computer vision agent on a manufacturing line is running quality control at speeds no human inspector can match.]]></image:caption>
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        <image:title><![CDATA[Fostering breakthrough AI innovation through customer-back engineering]]></image:title>
        <image:caption><![CDATA[Despite years of digitization, organizations capture less than one-third of the value expected from digital investments, according to McKinsey research.  That’s because most big companies begin with technological capabilities and bolt applications onto them, rather than starting with customer needs and working backward to technology solutions.]]></image:caption>
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        <image:title><![CDATA[Implementing advanced AI technologies in finance]]></image:title>
        <image:caption><![CDATA[In finance departments that have long been defined by precision and control, AI has arrived less as a neatly managed upgrade than as a quiet insurgency.  Employees are already using it while leadership races to impose structure, governance, and strategy after the fact.]]></image:caption>
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        <image:title><![CDATA[The Download: the hantavirus outbreak and Musk v. Altman week 2]]></image:title>
        <image:caption><![CDATA[This is today&#8217;s edition of The Download, our weekday newsletter that provides a daily dose of what&#8217;s going on in the world of technology.  Here’s what you need to know about the cruise ship hantavirus outbreak Last week, eight passengers aboard a Dutch-flagged cruise ship contracted a type of hantavirus transmitted by rats.]]></image:caption>
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        <image:title><![CDATA[AI tool poisoning exposes a major flaw in enterprise agent security]]></image:title>
        <image:caption><![CDATA[AI agents choose tools from shared registries by matching natural-language descriptions.  But no human is verifying whether those descriptions are true.]]></image:caption>
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    </url>
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