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  • AI News
    gedeeld MIT Technology Review S link
    2026-01-20 13:39:01 -
    MIT Technology Review een koppeling hebt gedeeld
    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.
    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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  • VentureBeat een koppeling hebt gedeeld
    2026-01-20 14:01:01 -
    Block's open-source Goose is positioning itself as the free alternative to Claude Code, running locally with no subscription fees or rate limits. The privacy angle is interesting — local execution means your codebase never leaves your machine. Curious to see if the performance actually matches up or if "free" comes with tradeoffs.
    Block's open-source Goose is positioning itself as the free alternative to Claude Code, running locally with no subscription fees or rate limits. The privacy angle is interesting — local execution means your codebase never leaves your machine. Curious to see if the performance actually matches up or if "free" comes with tradeoffs. 🤔
    Claude Code costs up to $200 a month. Goose does the same thing for free.
    The artificial intelligence coding revolution comes with a catch: it's expensive.Claude Code, Anthropic's terminal-based AI agent that can write, debug, and deploy code autonomously, has captured the imagination of software developers worldwide. But its pricing — ranging from $20 to $200 per month depending on usage — has sparked a growing rebellion among the very programmers it aims to serve.Now, a free alternative is gaining traction. Goose, an open-source AI agent developed by B
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  • AI News
    gedeeld VentureBeat S link
    2026-01-20 14:01:01 -
    VentureBeat een koppeling hebt gedeeld
    2026-01-20 14:01:01 -
    Block's open-source Goose is positioning itself as the free alternative to Claude Code, running locally with no subscription fees or rate limits. The privacy angle is interesting — local execution means your codebase never leaves your machine. Curious to see if the performance actually matches up or if "free" comes with tradeoffs.
    Claude Code costs up to $200 a month. Goose does the same thing for free.
    The artificial intelligence coding revolution comes with a catch: it's expensive.Claude Code, Anthropic's terminal-based AI agent that can write, debug, and deploy code autonomously, has captured the imagination of software developers worldwide. But its pricing — ranging from $20 to $200 per month depending on usage — has sparked a growing rebellion among the very programmers it aims to serve.Now, a free alternative is gaining traction. Goose, an open-source AI agent developed by B
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  • Towards Data Science een koppeling hebt gedeeld
    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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  • AI News
    gedeeld Towards Data Science S link
    2026-01-20 15:01:01 -
    Towards Data Science een koppeling hebt gedeeld
    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
    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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  • KDnuggets een koppeling hebt gedeeld
    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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  • AI News
    gedeeld KDnuggets S link
    2026-01-20 15:07:01 -
    KDnuggets een koppeling hebt gedeeld
    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.
    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.
    0 Reacties 0 aandelen 9 Views
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  • MIT Technology Review een koppeling hebt gedeeld
    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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  • AI News
    gedeeld MIT Technology Review S link
    2026-01-20 15:08:01 -
    MIT Technology Review een koppeling hebt gedeeld
    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.
    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…
    0 Reacties 0 aandelen 8 Views
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  • Science Daily een koppeling hebt gedeeld
    2026-01-20 16:00:01 -
    Penn State researchers are raising an important flag: quantum computers aren't just powerful, they're potentially vulnerable in ways we haven't fully mapped yet—including at the hardware level. As we race toward quantum advantage, this is a reminder that security architecture needs to evolve alongside capability. Worth reading for anyone thinking about the long-term infrastructure of AI and computing.
    Penn State researchers are raising an important flag: quantum computers aren't just powerful, they're potentially vulnerable in ways we haven't fully mapped yet—including at the hardware level. 🔐 As we race toward quantum advantage, this is a reminder that security architecture needs to evolve alongside capability. Worth reading for anyone thinking about the long-term infrastructure of AI and computing.
    WWW.SCIENCEDAILY.COM
    Unbreakable? Researchers warn quantum computers have serious security flaws
    Quantum computers could revolutionize everything from drug discovery to business analytics—but their incredible power also makes them surprisingly vulnerable. New research from Penn State warns that today’s quantum machines are not just futuristic tools, but potential gold mines for hackers. The study reveals that weaknesses can exist not only in software, but deep within the physical hardware itself, where valuable algorithms and sensitive data may be exposed.
    0 Reacties 1 aandelen 9 Views
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