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        <image:title><![CDATA[The AI Reckoning: Why Your Compute Bill is Out of Control and How to Fix It]]></image:title>
        <image:caption><![CDATA[Exploring why enterprise AI costs are spiraling out of control and how organizations can implement the governance structures needed to align spending with actual business outcomes.]]></image:caption>
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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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      <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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        <image:title><![CDATA[Multi-Agent Orchestration Reaches the Production Tipping Point]]></image:title>
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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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        <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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        <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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        <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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        <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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        <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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      <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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      <loc>https://www.ashishkaul.com/perspectives/agentic-ai-governance-code-in-production</loc>
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        <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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      <loc>https://www.ashishkaul.com/perspectives/agentic-ai-governance-code-in-production</loc>
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        <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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      <loc>https://www.ashishkaul.com/perspectives/rise-of-gpt4-new-era-language-ai</loc>
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        <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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      <loc>https://www.ashishkaul.com/perspectives/implementing-ai-enterprise-strategic-guide</loc>
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        <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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      <loc>https://www.ashishkaul.com/perspectives/future-computer-vision-beyond-recognition</loc>
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        <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>
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      <loc>https://www.ashishkaul.com/perspectives/ai-agents-next-evolution-automation</loc>
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        <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>
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      <loc>https://www.ashishkaul.com/perspectives/multimodal-ai-bridging-text-vision-audio</loc>
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        <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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      <loc>https://www.ashishkaul.com/perspectives/ai-powered-code-generation-future-development</loc>
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        <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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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[Making the internet better for AI agents might make it worse for everyone else]]></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,&#160;sign up here.]]></image:caption>
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        <image:title><![CDATA[“We were looking at it wrong”: The explosive claim that’s upended the AI world]]></image:title>
        <image:caption><![CDATA[“I think I have good news about the nature of neural networks. ” With those simple words of optimism, Nick Cammarata, a researcher at the AI startup Goodfire, kicked off a 26,000-word blog post that has knocked the AI world on its head, sparking wild speculation as well as cautious (and not-so-cautious) celebration.]]></image:caption>
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        <image:title><![CDATA[The Download: preserving the Arctic permafrost, and playful AI agents]]></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.  Inside the quest to combat Arctic fires and save the planet’s frozen carbon —James Temple In July 2021, a wildfire burned through a forest on the University of Alaska, Fairbanks campus,&#8230;.]]></image:caption>
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        <image:title><![CDATA[Inside the quest to combat Arctic fires and save the planet’s frozen carbon]]></image:title>
        <image:caption><![CDATA[In the middle of an especially warm July in 2021, a wildfire ignited in a thick forest of black spruce and peeling paper birch trees on the northern campus of the University of Alaska, Fairbanks. &#160; The blaze, possibly sparked by lightning, burned across the dry carpet of feather mosses and lichen before climbing into the&#8230;.]]></image:caption>
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        <image:title><![CDATA[AI researchers stranded Claude on a virtual desert island. It started to “play.”]]></image:title>
        <image:caption><![CDATA[What do AI agents do if you don’t tell them to do anything.  The answer looks a lot like play.]]></image:caption>
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        <image:title><![CDATA[How far can we push computing?]]></image:title>
        <image:caption><![CDATA[MIT Technology Review Explains: Let our writers untangle the complex, messy world of science and technology to help you understand what’s coming next.  You can read more from the series here.]]></image:caption>
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        <image:title><![CDATA[Roundtables: A Conversation With the Creator of AI-Designed Viruses]]></image:title>
        <image:caption><![CDATA[Listen to the session or watch below Can AI design new life forms.  In 2025, Stanford University PhD student Samuel King came up with a preliminary answer when he used a generative AI model to propose genetic blueprints for microscopic viruses.]]></image:caption>
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        <image:title><![CDATA[The Download: failed social media bans, and extending pets’ lives]]></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.  Kids are outsmarting social media bans.]]></image:caption>
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        <image:caption><![CDATA[I.  Meet cute Barnabas and Mainspring grew up near at hand, about an hour apart with good traffic, but for a long time they weren’t close.]]></image:caption>
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        <image:title><![CDATA[Proof-based general-purpose computing with Magnetar]]></image:title>
        <image:caption><![CDATA[Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data.  Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security.]]></image:caption>
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        <image:title><![CDATA[The Download: reviving frozen pig kidneys and boosting nuclear power]]></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.  Pig kidneys that were “frozen” for a year have been brought back to life Pig kidneys that were cooled to -150 °C and stored in a freezer for months have been&#8230;.]]></image:caption>
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        <image:title><![CDATA[Pig kidneys that were “frozen” for a year have been brought back to life]]></image:title>
        <image:caption><![CDATA[Pig kidneys that were cooled to -150 °C and stored in a freezer for months have been successfully rewarmed and shown to work again for the first time, say scientists.  They hope to replicate the findings with human organs.]]></image:caption>
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        <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.  Open models have real benefits.]]></image:caption>
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        <image:title><![CDATA[Open models have real benefits. Do they outweigh the risks?]]></image:title>
        <image:caption><![CDATA[MIT Technology Review Explains: Let our writers untangle the complex, messy world of science and technology to help you understand what’s coming next.  You can read more from the series here.]]></image:caption>
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        <image:title><![CDATA[AI labs are buying data from dead startups to train their models]]></image:title>
        <image:caption><![CDATA[When Keelan Miskell began winding down his crypto startup this year, he didn’t think its data was worth much: the users were anonymous, the company just a few years old.  But he’s since turned the firm’s digital archives into real money.]]></image:caption>
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        <image:title><![CDATA[Simulating student learning for better AI tutoring]]></image:title>
        <image:caption><![CDATA[StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners.  It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics.]]></image:caption>
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        <image:title><![CDATA[The Download: moon city problems and drone traffic controllers]]></image:title>
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        <image:title><![CDATA[The ecologist revealing the invisible networks that revive rainforests]]></image:title>
        <image:caption><![CDATA[In a research station in central Panama, you can walk through a century of forest time, watching scrubby plots of adolescent trees give way to cathedral-­like canopies of mature growth.  Forest ecologist Daisy Dent, a senior scientist at ETH Zurich, oversees this sequence of plots across the Barro Colorado Nature Monument, some of which date&#8230;.]]></image:caption>
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        <image:title><![CDATA[The Download: AI’s refusal problem and weight-loss drug side effects]]></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.  We’re putting too much faith in AI’s ability to say no Today’s AI models are trained to refuse a vast number of prompts.]]></image:caption>
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        <image:title><![CDATA[We’re putting too much faith in AI’s ability to say no]]></image:title>
        <image:caption><![CDATA[Ever since people first seriously contemplated giving machines an intelligence modeled on our own, there has never been any question that they would, like us, be able to say no.  The sci-fi canon is full of stories of robotic disobedience.]]></image:caption>
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        <image:title><![CDATA[Job titles of the future: Delivery drone air traffic controller]]></image:title>
        <image:caption><![CDATA[The moment Trevor Wischnewsky heard that drones were delivering pizza and sushi around his Texas neighborhood, his mind was made up.  “It was super fascinating,” he says.]]></image:caption>
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        <image:title><![CDATA[Roundtables: A Conversation With the Creator of AI-Designed Viruses]]></image:title>
        <image:caption><![CDATA[Friday, October 16, 2026 Can AI design new life forms.  In 2025, Stanford University PhD student Samuel King came up with a preliminary answer when he used a generative AI model to propose genetic blueprints for microscopic viruses.]]></image:caption>
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        <image:title><![CDATA[The Download: AI roadblocks for humanoids and portable rubber dams]]></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.  AI breakthroughs in robotics won’t change your life any time soon The hype around humanoid robots is reaching fever pitch.]]></image:caption>
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      <image:image>
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        <image:title><![CDATA[AI breakthroughs in robotics won’t change your life any time soon]]></image:title>
        <image:caption><![CDATA[The story is a collaboration between MIT Technology Review and Aventine, a non-profit research foundation that creates and supports content about how technology and science are changing the way we live.  A robot shaped like a human—white with a black head and torso—has been popping up on video feeds.]]></image:caption>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[Building a safer path to autonomous industrial AI]]></image:title>
        <image:caption><![CDATA[Industrial AI is entering a new phase.  After decades of predictive analytics and other specialized applications, advances in foundation models, physical AI, and agentic AI are making it possible to automate more complex tasks across industrial environments.]]></image:caption>
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        <image:title><![CDATA[Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses]]></image:title>
        <image:caption><![CDATA[Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks.  Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them.]]></image:caption>
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        <image:title><![CDATA[The Download: weight-loss drugs slowing aging and carbon dioxide batteries]]></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.  Weight-loss drugs show signs of slowing biological aging, say drugmakers Popular weight-loss drugs may do more than help people shed pounds.]]></image:caption>
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        <image:title><![CDATA[What AI gets wrong and what failure teaches us]]></image:title>
        <image:caption><![CDATA[Jennifer Neville did not want to go into computer science—but that’s exactly where she landed.  Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.]]></image:caption>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[The Download: 10 climate tech companies to watch]]></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.  10 climate tech companies to watch Each year, MIT Technology Review puts together a list of the most promising climate tech companies in the world.]]></image:caption>
      </image:image>
    </url>
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      <loc>https://www.ashishkaul.com/ai-news</loc>
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        <image:title><![CDATA[Connecting AI agents to enterprise knowledge]]></image:title>
        <image:caption><![CDATA[For all the data that AI systems continually amass and analyze, enterprise AI agents often suffer from a curious shortcoming: a lack of knowledge.  More than data, knowledge is the understanding of what the data means in the context of individual organizations.]]></image:caption>
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        <image:title><![CDATA[Bringing predictive analytics to the agentic AI era ]]></image:title>
        <image:caption><![CDATA[In 2026, the question for enterprise AI is no longer whether predictive models can outperform statistical forecasts—that argument is settled.  The big question now is how to enable predictive systems to act on their own conclusions without drifting from business intent.]]></image:caption>
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        <image:title><![CDATA[The Download: AI’s popularity paradox and EmTech Future 2026]]></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.  People really hate AI, so why can’t they get enough.]]></image:caption>
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        <image:title><![CDATA[People really hate AI, so why can’t they get enough?]]></image:title>
        <image:caption><![CDATA[Over the summer I talked to the CEO of Springboards, a startup building an LLM that’s designed to come up with a wider variety of responses than its mainstream rivals do.  At the start of the call, he said something that’s been stuck in my head since: “We often say that we’re a self-loathing AI&#8230;.]]></image:caption>
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        <image:title><![CDATA[EmTech Future 2026: When AI Meets Everything]]></image:title>
        <image:caption><![CDATA[Yossi Matias, Vice President &#38; Head of Google Research, explores how AI is beginning to reshape biology, infrastructure, manufacturing, and science, and why its greatest impact may come when it intersects with other fields. &#160; Step inside the newsroom with our MIT Technology Review editors for sharp analysis and unpublished insights from the team that researches&#8230;.]]></image:caption>
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        <image:title><![CDATA[Redefining enterprise intelligence with autonomous AI]]></image:title>
        <image:caption><![CDATA[Enterprise AI is no longer a future ambition.  It is in full operational flight.]]></image:caption>
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        <image:title><![CDATA[The Download: a biological de-aging contest and why LLMs don’t reason]]></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 new contest pits competitors against each other in a race to biological youth —Jessica Hamzelou This week, I officially signed up for an unusual competition.]]></image:caption>
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        <image:title><![CDATA[A new contest pits competitors against each other in a race to biological youth]]></image:title>
        <image:caption><![CDATA[This week, I officially signed up for an unusual competition.  One that rewards competitors for getting younger.]]></image:caption>
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        <image:title><![CDATA[Don’t be fooled—LLMs don’t reason]]></image:title>
        <image:caption><![CDATA[On an afternoon in Seoul in March 2016, I watched a program I helped build put a stone on the fifth line of a Go board in what looked like a gift to its human opponent.  Move 37 in game two of the five-game match looked so absurd that some commentators thought it was a&#8230;.]]></image:caption>
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        <image:title><![CDATA[The Download: AI “mind-reading” and creative uses for small batteries]]></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.  An AI “mind-reading” tool can reconstruct what you’re looking at based on a brain scan A new AI tool can guess what you’re looking at just by analyzing your brain scans—and&#8230;.]]></image:caption>
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        <image:title><![CDATA[An AI “mind-reading” tool can reconstruct what you’re looking at based on a brain scan]]></image:title>
        <image:caption><![CDATA[A new AI tool can guess what you’re looking at just by analyzing your brain scans—and recreate that image with remarkable precision.  It can go the other way too, and predict a person’s brain activity based on what they’re looking at.]]></image:caption>
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        <image:title><![CDATA[Forecasting space weather risks on power grids]]></image:title>
        <image:caption><![CDATA[Extreme space-weather events can damage power systems on Earth and degrade GPS accuracy and satellite operations.  A new machine learning system can predict where damage is likely to occur 30-60 minutes before a storm arrives.]]></image:caption>
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        <image:title><![CDATA[The Download: OpenAI’s chief research officer explains its hacking response]]></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.  “We’re not going to shoot ourselves in the foot” over hack fallout, says OpenAI’s chief research officer Two months after OpenAI’s agents hacked into the computers of AI company Hugging Face,&#8230;.]]></image:caption>
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        <image:title><![CDATA[“We’re not going to shoot ourselves in the foot” over hack fallout, says OpenAI’s chief research officer]]></image:title>
        <image:caption><![CDATA[Two months after the bombshell news that a swarm of its agents had broken their containment and hacked into the computers of the AI company Hugging Face, OpenAI is still putting out fires.  A steady drip of disclosures about other hacks in the weeks since has kept OpenAI in the spotlight and raised serious questions&#8230;.]]></image:caption>
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        <image:title><![CDATA[Introducing Quine: An AI research system designed for the complexity of biology]]></image:title>
        <image:caption><![CDATA[Biology doesn't operate in silos, and neither should the AI representation of it.  Quine is an early-stage research effort to create a multimodal world model of biology.]]></image:caption>
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        <image:title><![CDATA[The Download: climate tech companies to watch and AI’s discovery problem]]></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.  Coming soon: our 2026 list of Climate Tech Companies to Watch With the planet nearing 1.]]></image:caption>
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        <image:title><![CDATA[Making AI an asset, not an expense]]></image:title>
        <image:caption><![CDATA[When customers talk about AI costs, the conversation usually starts with token prices and ends with access to the latest, most capable model in the cloud.  Do they always need that level of capability.]]></image:caption>
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        <image:title><![CDATA[Roundtables: The Deadly Failures of The Virtual Border Wall]]></image:title>
        <image:caption><![CDATA[Listen to the session or watch below The US has spent billions building a “virtual wall” of surveillance towers along its southern border over the past 25 years, promising they will help detect and apprehend border crossers and save lives.  But a groundbreaking investigation by MIT Technology Review has documented over a thousand people who&#8230;.]]></image:caption>
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        <image:title><![CDATA[One year in: How Microsoft Research Asia – Singapore is advancing research, partnership and talent for real-world impact]]></image:title>
        <image:caption><![CDATA[Since launching a year ago, the Microsoft Research Asia — Singapore lab has established a strong foundation, deepened collaboration across government, academia, and industry, and explored how frontier AI research can create real-world value. 
The post One year in: How Microsoft Research Asia – Singapore is advancing research, partnership and talent for real-world impact appeared first on Microsoft Research.]]></image:caption>
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        <image:title><![CDATA[When can we say AI made a scientific discovery?]]></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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        <image:title><![CDATA[The Download: rogue agent liability and the AI Hype Index]]></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.  Who&#8217;s liable when AI agents go rogue.]]></image:caption>
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        <image:title><![CDATA[Who’s liable when AI agents go rogue?]]></image:title>
        <image:caption><![CDATA[MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next.  You can read more from the series here.]]></image:caption>
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        <image:title><![CDATA[The Download: the Pentagon’s AI-powered lie detector and young organ limits]]></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 Pentagon wants $30 million to build an AI-powered lie detector The US government wants to spend $30.]]></image:caption>
      </image:image>
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        <image:title><![CDATA[The Pentagon wants $30 million to build an AI-powered lie detector]]></image:title>
        <image:caption><![CDATA[The US government wants to spend $30. 3 million over the next five years on an improved form of lie detector, according to a Department of Defense budget request.]]></image:caption>
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        <image:title><![CDATA[Young organs may not be a fountain of youth for recipients]]></image:title>
        <image:caption><![CDATA[Around this time last year I was attending an aging conference in Manchester, listening to a talk about fly aging, when my phone started pinging.  News outlets were reporting that a hot mic had caught Russia’s and China’s leaders discussing the possibility of living forever.]]></image:caption>
      </image:image>
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      <image:image>
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        <image:title><![CDATA[The Download: a bid to scrap the virtual wall and AI hits Climate Week]]></image:title>
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