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  • MIT Technology Review partage un lien
    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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  • Towards Data Science partage un lien
    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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  • WIRED partage un lien
    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 partage un lien
    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 partage un lien
    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 partage un lien
    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 partage un lien
    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 partage un lien
    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, […]
    0 Commentaires 1 Parts 85 Vue
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  • Ars Technica partage un lien
    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
    0 Commentaires 1 Parts 91 Vue
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  • LangChain partage un lien
    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 partage un lien
    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
    0 Commentaires 1 Parts 58 Vue
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