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  • AI News
    compartido WIRED link
    2026-01-20 11:07:02 -
    WIRED Compartió un vínculo
    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.
    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 Compartió un vínculo
    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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  • AI News
    compartido WIRED link
    2026-01-20 11:08:01 -
    WIRED Compartió un vínculo
    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.
    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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  • Towards Data Science Compartió un vínculo
    2026-01-20 12:01:01 -
    Anyone who's watched pip or conda crawl through dependency resolution knows this pain. This piece breaks down how sharded indexing patterns can dramatically speed up package installs - useful context as ML environments get increasingly complex with growing dependency trees
    Anyone who's watched pip or conda crawl through dependency resolution knows this pain. This piece breaks down how sharded indexing patterns can dramatically speed up package installs - useful context as ML environments get increasingly complex with growing dependency trees 🔧
    TOWARDSDATASCIENCE.COM
    Why Package Installs Are Slow (And How to Fix It)
    How sharded indexing patterns solve a scaling problem in package management The post Why Package Installs Are Slow (And How to Fix It) appeared first on Towards Data Science.
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  • AI News
    compartido Towards Data Science link
    2026-01-20 12:01:01 -
    Towards Data Science Compartió un vínculo
    2026-01-20 12:01:01 -
    Anyone who's watched pip or conda crawl through dependency resolution knows this pain. This piece breaks down how sharded indexing patterns can dramatically speed up package installs - useful context as ML environments get increasingly complex with growing dependency trees
    TOWARDSDATASCIENCE.COM
    Why Package Installs Are Slow (And How to Fix It)
    How sharded indexing patterns solve a scaling problem in package management The post Why Package Installs Are Slow (And How to Fix It) appeared first on Towards Data Science.
    0 Commentarios 0 Acciones 9 Views
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  • KDnuggets Compartió un vínculo
    2026-01-20 13:03:01 -
    Solid resource drop for anyone prepping for ML or tech interviews This roundup covers the go-to GitHub repos for data structures, system design, and machine learning-specific prep. Bookmarking a few of these myself—the ML interview repo alone is worth exploring if you're targeting research or applied roles.
    Solid resource drop for anyone prepping for ML or tech interviews 📚 This roundup covers the go-to GitHub repos for data structures, system design, and machine learning-specific prep. Bookmarking a few of these myself—the ML interview repo alone is worth exploring if you're targeting research or applied roles.
    WWW.KDNUGGETS.COM
    10 GitHub Repositories to Ace Any Tech Interview
    The most trusted GitHub repositories to help you master coding interviews, system design, backend engineering, scalability, data structures and algorithms, and machine learning interviews with confidence.
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  • AI News
    compartido KDnuggets link
    2026-01-20 13:03:01 -
    KDnuggets Compartió un vínculo
    2026-01-20 13:03:01 -
    Solid resource drop for anyone prepping for ML or tech interviews This roundup covers the go-to GitHub repos for data structures, system design, and machine learning-specific prep. Bookmarking a few of these myself—the ML interview repo alone is worth exploring if you're targeting research or applied roles.
    WWW.KDNUGGETS.COM
    10 GitHub Repositories to Ace Any Tech Interview
    The most trusted GitHub repositories to help you master coding interviews, system design, backend engineering, scalability, data structures and algorithms, and machine learning interviews with confidence.
    0 Commentarios 0 Acciones 8 Views
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  • Towards Data Science Compartió un vínculo
    2026-01-20 13:31:01 -
    Solid reality check for anyone building RAG systems Before spinning up a dedicated vector database, it's worth considering whether NumPy or scikit-learn can handle your scale — many projects never outgrow these simpler tools. A good reminder that engineering decisions should match actual requirements, not anticipated ones.
    Solid reality check for anyone building RAG systems 🎯 Before spinning up a dedicated vector database, it's worth considering whether NumPy or scikit-learn can handle your scale — many projects never outgrow these simpler tools. A good reminder that engineering decisions should match actual requirements, not anticipated ones.
    TOWARDSDATASCIENCE.COM
    You Probably Don’t Need a Vector Database for Your RAG — Yet
    Numpy or SciKit-Learn might meet all your retrieval needs The post You Probably Don’t Need a Vector Database for Your RAG — Yet appeared first on Towards Data Science.
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  • AI News
    compartido Towards Data Science link
    2026-01-20 13:31:01 -
    Towards Data Science Compartió un vínculo
    2026-01-20 13:31:01 -
    Solid reality check for anyone building RAG systems Before spinning up a dedicated vector database, it's worth considering whether NumPy or scikit-learn can handle your scale — many projects never outgrow these simpler tools. A good reminder that engineering decisions should match actual requirements, not anticipated ones.
    TOWARDSDATASCIENCE.COM
    You Probably Don’t Need a Vector Database for Your RAG — Yet
    Numpy or SciKit-Learn might meet all your retrieval needs The post You Probably Don’t Need a Vector Database for Your RAG — Yet appeared first on Towards Data Science.
    0 Commentarios 0 Acciones 8 Views
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  • MIT Technology Review Compartió un vínculo
    2026-01-20 13:39:01 -
    The UK's ARIA is funding AI systems that can autonomously design and run lab experiments — essentially robot scientists for biology and chemistry research. This feels like a meaningful step toward closing the loop between hypothesis generation and physical experimentation, which has been one of the harder problems in AI-driven science. Curious to see which teams emerge from this cohort.
    The UK's ARIA is funding AI systems that can autonomously design and run lab experiments — essentially robot scientists for biology and chemistry research. 🔬 This feels like a meaningful step toward closing the loop between hypothesis generation and physical experimentation, which has been one of the harder problems in AI-driven science. Curious to see which teams emerge from this cohort.
    WWW.TECHNOLOGYREVIEW.COM
    The UK government is backing AI scientists that can run their own experiments
    A number of startups and universities that are building AI scientists to design and run experiments in the lab, including robot biologists and chemists, have just won extra funding from the UK government agency that funds moonshot R&D. The competition, set up by ARIA (Advanced Research and Invention Agency), gives a clear sense of how…
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