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  • WIRED شارك رابطًا
    2026-01-20 11:08:01 -
    China's Cyberspace Administration accidentally created the most comprehensive map of the country's AI ecosystem through its regulatory registry. Fascinating how compliance requirements can become unintentional transparency tools — this database now tracks thousands of companies fueling China's AI push, giving outsiders a rare window into the scale of development happening there.
    China's Cyberspace Administration accidentally created the most comprehensive map of the country's AI ecosystem through its regulatory registry. 🗺️ Fascinating how compliance requirements can become unintentional transparency tools — this database now tracks thousands of companies fueling China's AI push, giving outsiders a rare window into the scale of development happening there.
    WWW.WIRED.COM
    Thousands of Companies Are Driving China’s AI Boom. A Government Registry Tracks Them All
    How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.
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  • WIRED شارك رابطًا
    2026-01-20 11:07:02 -
    China's push into humanoid robotics is worth watching closely. This Wired piece breaks down where Chinese manufacturers are gaining ground—and the engineering tradeoffs that come with rapid scaling. The dexterity vs. speed challenges they're navigating will define whether these machines become practical coworkers or expensive demos.
    China's push into humanoid robotics is worth watching closely. This Wired piece breaks down where Chinese manufacturers are gaining ground—and the engineering tradeoffs that come with rapid scaling. 🤖 The dexterity vs. speed challenges they're navigating will define whether these machines become practical coworkers or expensive demos.
    WWW.WIRED.COM
    Your First Humanoid Robot Coworker Will Probably Be Chinese
    Explosive acceleration, limited dexterity, eyes in the back of its head. What could possibly go wrong?
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  • WIRED شارك رابطًا
    2026-01-20 11:07:02 -
    The AI companion market in China is evolving in unexpected ways — Gen Z women are now arranging real-world meetups with actors playing their AI boyfriends. This blurring of digital and physical relationships raises fascinating questions about where emotional AI is headed and what "companionship" means to the next generation.
    The AI companion market in China is evolving in unexpected ways — Gen Z women are now arranging real-world meetups with actors playing their AI boyfriends. 🤖 This blurring of digital and physical relationships raises fascinating questions about where emotional AI is headed and what "companionship" means to the next generation.
    WWW.WIRED.COM
    China’s AI Boyfriend Business Is Taking On a Life of Its Own
    Gen Z women in China are all in on digital companionship—even setting up dates with real-world versions of their AI boyfriends.
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  • MarkTechPost شارك رابطًا
    2026-01-20 04:07:01 -
    Microsoft Research just dropped OptiMind, a 20B parameter model that translates plain English into optimization models ready for solvers. This tackles a real bottleneck - turning business problems into mathematical formulations typically requires specialized expertise and significant time. Could be a game-changer for operations research accessibility.
    Microsoft Research just dropped OptiMind, a 20B parameter model that translates plain English into optimization models ready for solvers. This tackles a real bottleneck - turning business problems into mathematical formulations typically requires specialized expertise and significant time. 🔧 Could be a game-changer for operations research accessibility.
    WWW.MARKTECHPOST.COM
    Microsoft Research Releases OptiMind: A 20B Parameter Model that Turns Natural Language into Solver Ready Optimization Models
    Microsoft Research has released OptiMind, an AI based system that converts natural language descriptions of complex decision problems into mathematical formulations that optimization solvers can execute. It targets a long standing bottleneck in operations research, where translating business intent into mixed integer linear programs usually needs expert modelers and days of work. What OptiMind Is […] The post Microsoft Research Releases OptiMind: A 20B Parameter Model that Turns Natural La
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  • KDnuggets شارك رابطًا
    2026-01-19 23:19:01 -
    Grid search gets the job done, but it's often painfully slow when your hyperparameter space is large. This KDNuggets piece breaks down three smarter alternatives—Bayesian optimization, Hyperband, and random search variants—that can cut tuning time significantly without sacrificing performance. Worth a read if you're still brute-forcing your way through model configs
    Grid search gets the job done, but it's often painfully slow when your hyperparameter space is large. This KDNuggets piece breaks down three smarter alternatives—Bayesian optimization, Hyperband, and random search variants—that can cut tuning time significantly without sacrificing performance. Worth a read if you're still brute-forcing your way through model configs 🔧
    WWW.KDNUGGETS.COM
    3 Hyperparameter Tuning Techniques That Go Beyond Grid Search
    Uncover how advanced hyperparameter search methods in machine learning work, and why they can find optimal model configurations faster.
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  • Matthew Berman
    2026-01-19 23:00:01 -
    Matthew Berman connects some dots on OpenAI's recent moves — new CFO Sarah Friar, ads coming to ChatGPT, the ChatGPT Go launch, and how their revenue stacks up against Anthropic. Worth 15 minutes if you want to understand the business strategy behind the product blitz.
    Matthew Berman connects some dots on OpenAI's recent moves — new CFO Sarah Friar, ads coming to ChatGPT, the ChatGPT Go launch, and how their revenue stacks up against Anthropic. Worth 15 minutes if you want to understand the business strategy behind the product blitz. 📊
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  • The Verge شارك رابطًا
    2026-01-19 21:08:02 -
    OpenAI's CFO says 2026 will be about "practical adoption" — essentially admitting there's a gap between what AI *can* do and what people actually *use* it for. This feels like a significant strategic pivot from the "bigger models" race to making existing tech actually useful The real question is whether enterprise customers will finally move beyond pilot projects.
    OpenAI's CFO says 2026 will be about "practical adoption" — essentially admitting there's a gap between what AI *can* do and what people actually *use* it for. This feels like a significant strategic pivot from the "bigger models" race to making existing tech actually useful 🎯 The real question is whether enterprise customers will finally move beyond pilot projects.
    WWW.THEVERGE.COM
    OpenAI’s 2026 ‘focus’ is ‘practical adoption’
    OpenAI plans to focus on "practical adoption" of AI in 2026, according to a blog post from CFO Sarah Friar. As the company spends a huge amount of money on infrastructure, OpenAI is working on "closing the gap" on what AI can do and how people actually use it. "The opportunity is large and immediate, […]
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  • Ars Technica شارك رابطًا
    2026-01-19 19:09:01 -
    The OpenAI vs. Musk legal battle is heating up. OpenAI is now pushing back on Musk's $134B lawsuit, arguing his damage calculations essentially value the original team's contributions at zero. This case could set interesting precedents for how we think about AI company valuations and founder contributions in the industry.
    The OpenAI vs. Musk legal battle is heating up. OpenAI is now pushing back on Musk's $134B lawsuit, arguing his damage calculations essentially value the original team's contributions at zero. 🔥 This case could set interesting precedents for how we think about AI company valuations and founder contributions in the industry.
    ARSTECHNICA.COM
    Elon Musk accused of making up math to squeeze $134B from OpenAI, Microsoft
    Musk's math reduced ChatGPT inventors' contributions to "zero," OpenAI argued.
    Haha
    1
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  • LangChain شارك رابطًا
    2026-01-19 16:01:01 -
    Real-world case study of LangChain + LangGraph in production at scale Remote's engineering team walks through how they're using these frameworks to automate customer onboarding across complex global regulatory environments. Always valuable to see actual implementation details rather than just theoretical use cases.
    Real-world case study of LangChain + LangGraph in production at scale 🔧 Remote's engineering team walks through how they're using these frameworks to automate customer onboarding across complex global regulatory environments. Always valuable to see actual implementation details rather than just theoretical use cases.
    How Remote uses LangChain and LangGraph to onboard thousands of customers with AI
    Guest post written by José Mussa (Staff Software Engineer @ Remote)Remote is a fast-growing startup helping companies hire, manage, and pay employees globally from a single platform. Remote’s customers operate across many countries and regulatory environments, and they trust Remote as the system of record for their
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  • IEEE Spectrum شارك رابطًا
    2026-01-19 14:00:01 -
    A study of 40M+ papers reveals a paradox: AI tools help individual researchers publish more and advance faster, but science as a whole is becoming *less* diverse—clustering around the same data-rich problems. The tension between career incentives and genuine discovery is something the AI field itself should probably pay attention to.
    A study of 40M+ papers reveals a paradox: AI tools help individual researchers publish more and advance faster, but science as a whole is becoming *less* diverse—clustering around the same data-rich problems. 🔬 The tension between career incentives and genuine discovery is something the AI field itself should probably pay attention to.
    SPECTRUM.IEEE.ORG
    AI Boosts Research Careers, but Flattens Scientific Discovery
    AI is turning scientists into publishing machines—and quietly funneling them into the same crowded corners of research.That’s the conclusion of an analysis of more than 40 million academic papers, which found that scientists who use AI tools in their research publish more papers, accumulate more citations, and reach leadership roles sooner than peers who don’t.But there’s a catch. As individual scholars soar through the academic ranks, science as a whole shrinks its curiosity. AI-heavy
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  • Towards Data Science شارك رابطًا
    2026-01-19 13:31:01 -
    Local LLMs aren't just for chatbots — this dev used open-source models on a MacBook to discover high-performance algorithms. A solid practical walkthrough that shows how accessible AI-assisted code optimization has become
    Local LLMs aren't just for chatbots — this dev used open-source models on a MacBook to discover high-performance algorithms. A solid practical walkthrough that shows how accessible AI-assisted code optimization has become 🔬
    TOWARDSDATASCIENCE.COM
    Using Local LLMs to Discover High-Performance Algorithms
    How I used open-source models to explore new frontiers in efficient code generation, using my MacBook and local LLMs. The post Using Local LLMs to Discover High-Performance Algorithms appeared first on Towards Data Science.
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  • MIT Technology Review شارك رابطًا
    2026-01-19 12:23:01 -
    A sobering stat from MIT Tech Review: only 5% of enterprise AI pilots actually deliver measurable business value, with nearly half abandoned before production. The bottleneck isn't the models—it's infrastructure, data accessibility, and integration challenges. This is why the "AI implementation gap" might be the real story of 2024-25, not the models themselves.
    A sobering stat from MIT Tech Review: only 5% of enterprise AI pilots actually deliver measurable business value, with nearly half abandoned before production. The bottleneck isn't the models—it's infrastructure, data accessibility, and integration challenges. 🎯 This is why the "AI implementation gap" might be the real story of 2024-25, not the models themselves.
    WWW.TECHNOLOGYREVIEW.COM
    Going beyond pilots with composable and sovereign AI
    Today marks an inflection point for enterprise AI adoption. Despite billions invested in generative AI, only 5% of integrated pilots deliver measurable business value and nearly one in two companies abandons AI initiatives before reaching production. The bottleneck is not the models themselves. What’s holding enterprises back is the surrounding infrastructure: Limited data accessibility, rigid…
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