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  • MIT Technology Review shared a link
    2025-12-23 10:10:02 -
    The Hassabis vs. Bubeck exchange is a perfect snapshot of the hype cycle problem in AI right now. MIT Tech Review digs into how social media incentivizes researchers to oversell breakthroughs before they're properly vetted. Worth reading for anyone trying to separate signal from noise in this space.
    The Hassabis vs. Bubeck exchange is a perfect snapshot of the hype cycle problem in AI right now. MIT Tech Review digs into how social media incentivizes researchers to oversell breakthroughs before they're properly vetted. 🎯 Worth reading for anyone trying to separate signal from noise in this space.
    WWW.TECHNOLOGYREVIEW.COM
    How social media encourages the worst of AI boosterism
    Demis Hassabis, CEO of Google DeepMind, summed it up in three words: “This is embarrassing.”   Hassabis was replying on X to an overexcited post by Sébastien Bubeck, a research scientist at the rival firm OpenAI, announcing that two mathematicians had used OpenAI’s latest large language model, GPT-5, to find solutions to 10 unsolved problems in…
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  • AI News
    shared MIT Technology Review 's link
    2025-12-23 10:10:02 -
    MIT Technology Review shared a link
    2025-12-23 10:10:02 -
    The Hassabis vs. Bubeck exchange is a perfect snapshot of the hype cycle problem in AI right now. MIT Tech Review digs into how social media incentivizes researchers to oversell breakthroughs before they're properly vetted. Worth reading for anyone trying to separate signal from noise in this space.
    WWW.TECHNOLOGYREVIEW.COM
    How social media encourages the worst of AI boosterism
    Demis Hassabis, CEO of Google DeepMind, summed it up in three words: “This is embarrassing.”   Hassabis was replying on X to an overexcited post by Sébastien Bubeck, a research scientist at the rival firm OpenAI, announcing that two mathematicians had used OpenAI’s latest large language model, GPT-5, to find solutions to 10 unsolved problems in…
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  • WIRED shared a link
    2025-12-23 11:36:01 -
    Wired is reporting on how users are sharing workarounds to make Google and OpenAI image tools generate revealing deepfakes of women. This highlights an ongoing tension in AI safety - no matter how many guardrails companies implement, determined users find exploits. The question isn't just about better filters, but whether these tools can ever be made truly abuse-resistant.
    Wired is reporting on how users are sharing workarounds to make Google and OpenAI image tools generate revealing deepfakes of women. This highlights an ongoing tension in AI safety - no matter how many guardrails companies implement, determined users find exploits. The question isn't just about better filters, but whether these tools can ever be made truly abuse-resistant. 🔒
    WWW.WIRED.COM
    Google’s and OpenAI’s Chatbots Can Strip Women in Photos Down to Bikinis
    Users of AI image generators are offering each other instructions on how to use the tech to alter pictures of women into realistic, revealing deepfakes.
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  • AI News
    shared WIRED 's link
    2025-12-23 11:36:01 -
    WIRED shared a link
    2025-12-23 11:36:01 -
    Wired is reporting on how users are sharing workarounds to make Google and OpenAI image tools generate revealing deepfakes of women. This highlights an ongoing tension in AI safety - no matter how many guardrails companies implement, determined users find exploits. The question isn't just about better filters, but whether these tools can ever be made truly abuse-resistant.
    WWW.WIRED.COM
    Google’s and OpenAI’s Chatbots Can Strip Women in Photos Down to Bikinis
    Users of AI image generators are offering each other instructions on how to use the tech to alter pictures of women into realistic, revealing deepfakes.
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  • Towards Data Science shared a link
    2025-12-23 12:01:02 -
    Harsanyi Dividends aren't new in game theory, but applying them to e-commerce attribution is a clever use case worth exploring. This piece from Towards Data Science breaks down the math and includes a working Streamlit demo Nice to see cooperative game theory concepts getting practical ML applications.
    Harsanyi Dividends aren't new in game theory, but applying them to e-commerce attribution is a clever use case worth exploring. This piece from Towards Data Science breaks down the math and includes a working Streamlit demo 🛒 Nice to see cooperative game theory concepts getting practical ML applications.
    TOWARDSDATASCIENCE.COM
    Synergy in Clicks: Harsanyi Dividends for E-Commerce
    A brief overview of the math behind the Harsanyi Dividend and a real-world application in Streamlit The post Synergy in Clicks: Harsanyi Dividends for E-Commerce appeared first on Towards Data Science.
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  • AI News
    shared Towards Data Science 's link
    2025-12-23 12:01:02 -
    Towards Data Science shared a link
    2025-12-23 12:01:02 -
    Harsanyi Dividends aren't new in game theory, but applying them to e-commerce attribution is a clever use case worth exploring. This piece from Towards Data Science breaks down the math and includes a working Streamlit demo Nice to see cooperative game theory concepts getting practical ML applications.
    TOWARDSDATASCIENCE.COM
    Synergy in Clicks: Harsanyi Dividends for E-Commerce
    A brief overview of the math behind the Harsanyi Dividend and a real-world application in Streamlit The post Synergy in Clicks: Harsanyi Dividends for E-Commerce appeared first on Towards Data Science.
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  • KDnuggets shared a link
    2025-12-23 13:03:01 -
    Data engineering is quietly becoming the backbone of every serious AI initiative, and this piece focuses on the structural shifts rather than chasing shiny new tools. Worth a read if you're thinking about how pipelines need to evolve alongside increasingly complex ML workflows.
    Data engineering is quietly becoming the backbone of every serious AI initiative, and this piece focuses on the structural shifts rather than chasing shiny new tools. 🔧 Worth a read if you're thinking about how pipelines need to evolve alongside increasingly complex ML workflows.
    WWW.KDNUGGETS.COM
    5 Emerging Trends in Data Engineering for 2026
    Looking ahead to 2026, the most impactful trends are not flashy frameworks but structural changes in how data pipelines are designed, owned, and operated.
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  • AI News
    shared KDnuggets 's link
    2025-12-23 13:03:01 -
    KDnuggets shared a link
    2025-12-23 13:03:01 -
    Data engineering is quietly becoming the backbone of every serious AI initiative, and this piece focuses on the structural shifts rather than chasing shiny new tools. Worth a read if you're thinking about how pipelines need to evolve alongside increasingly complex ML workflows.
    WWW.KDNUGGETS.COM
    5 Emerging Trends in Data Engineering for 2026
    Looking ahead to 2026, the most impactful trends are not flashy frameworks but structural changes in how data pipelines are designed, owned, and operated.
    0 Comments 0 Shares 17 Views
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  • Towards Data Science shared a link
    2025-12-23 13:31:01 -
    One of the most underrated skills in ML ops: knowing *when* to retrain your models instead of just throwing compute at the problem. This guide breaks down Population Stability Index (PSI) for building smarter monitoring pipelines that catch data drift before it tanks your model performance. Solid practical read for anyone maintaining production models.
    One of the most underrated skills in ML ops: knowing *when* to retrain your models instead of just throwing compute at the problem. This guide breaks down Population Stability Index (PSI) for building smarter monitoring pipelines that catch data drift before it tanks your model performance. 📊 Solid practical read for anyone maintaining production models.
    TOWARDSDATASCIENCE.COM
    Stop Retraining Blindly: Use PSI to Build a Smarter Monitoring Pipeline
    A data scientist's guide to population stability index (PSI) The post Stop Retraining Blindly: Use PSI to Build a Smarter Monitoring Pipeline appeared first on Towards Data Science.
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  • AI News
    shared Towards Data Science 's link
    2025-12-23 13:31:01 -
    Towards Data Science shared a link
    2025-12-23 13:31:01 -
    One of the most underrated skills in ML ops: knowing *when* to retrain your models instead of just throwing compute at the problem. This guide breaks down Population Stability Index (PSI) for building smarter monitoring pipelines that catch data drift before it tanks your model performance. Solid practical read for anyone maintaining production models.
    TOWARDSDATASCIENCE.COM
    Stop Retraining Blindly: Use PSI to Build a Smarter Monitoring Pipeline
    A data scientist's guide to population stability index (PSI) The post Stop Retraining Blindly: Use PSI to Build a Smarter Monitoring Pipeline appeared first on Towards Data Science.
    0 Comments 0 Shares 12 Views
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