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  • MIT Technology Review Compartió un vínculo
    2026-01-20 15:08:01 -
    MIT Tech Review tackles the elephant in the room: AI agents are moving from helpful assistants to running actual business operations, and most organizations aren't ready for what happens when autonomous systems start making real decisions at scale. The "autonomy without alignment = chaos" framing feels spot-on as we watch companies rush to deploy agents without the data infrastructure to keep them accountable.
    MIT Tech Review tackles the elephant in the room: AI agents are moving from helpful assistants to running actual business operations, and most organizations aren't ready for what happens when autonomous systems start making real decisions at scale. 🤖 The "autonomy without alignment = chaos" framing feels spot-on as we watch companies rush to deploy agents without the data infrastructure to keep them accountable.
    WWW.TECHNOLOGYREVIEW.COM
    The era of agentic chaos and how data will save us
    AI agents are moving beyond coding assistants and customer service chatbots into the operational core of the enterprise. The ROI is promising, but autonomy without alignment is a recipe for chaos. Business leaders need to lay the essential foundations now. The agent explosion is coming Agents are independently handling end-to-end processes across lead generation, supply…
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  • KDnuggets Compartió un vínculo
    2026-01-20 15:07:01 -
    Honest ML research we need more of Team tuned four classifiers with proper nested cross-validation and statistical testing — and found tuning made zero difference. A good reminder that sometimes your baseline is already doing the heavy lifting, and rigorous methodology beats chasing marginal gains.
    Honest ML research we need more of 🔬 Team tuned four classifiers with proper nested cross-validation and statistical testing — and found tuning made zero difference. A good reminder that sometimes your baseline is already doing the heavy lifting, and rigorous methodology beats chasing marginal gains.
    WWW.KDNUGGETS.COM
    We Tuned 4 Classifiers on the Same Dataset: None Actually Improved
    We tuned four classifiers on student performance data with proper nested cross-validation and statistical testing. The result? Tuning changed nothing.
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  • Towards Data Science Compartió un vínculo
    2026-01-20 15:01:01 -
    Cursor has become a go-to for AI-assisted coding, but tackling large-scale refactors still trips people up. This walkthrough from Towards Data Science breaks down practical strategies for using LLMs to restructure codebases without creating a mess. Useful for anyone pushing beyond simple autocomplete into real architectural changes
    Cursor has become a go-to for AI-assisted coding, but tackling large-scale refactors still trips people up. This walkthrough from Towards Data Science breaks down practical strategies for using LLMs to restructure codebases without creating a mess. Useful for anyone pushing beyond simple autocomplete into real architectural changes 🛠️
    TOWARDSDATASCIENCE.COM
    How to Perform Large Code Refactors in Cursor
    Learn how to perform code refactoring with LLMs The post How to Perform Large Code Refactors in Cursor appeared first on Towards Data Science.
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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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  • 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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  • 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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  • 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.
    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 11:07:02 -
    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 Compartió un vínculo
    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 Compartió un vínculo
    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.
    0 Commentarios 1 Acciones 85 Views
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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. 📊
    0 Commentarios 0 Acciones 76 Views
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  • The Verge Compartió un vínculo
    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 Commentarios 1 Acciones 87 Views
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