September 17, 2026

Aurora Jensen

Aurora Jensen
Aurora holds a B.Eng. in Electrical Engineering from NTNU and an M.Sc. in Environmental Data Science from the University of Copenhagen. She deployed coastal sensor arrays that refused to behave like lab gear, then analyzed grid-scale renewables where the data never sleeps. She writes about climate tech, edge analytics for sensors, and the unglamorous but vital work of validating data quality. Aurora volunteers with ocean-cleanup initiatives, mentors students on open environmental datasets, and shares practical guides to field-ready data logging. When she powers down, she swims cold water, reads Nordic noir under a wool blanket, and escapes to cabin weekends with a notebook and a thermos.
    Edge Intelligence

    Small Language Models in 2027: When 8B Beats 400B

    For roughly 80% of production use cases, a small language model you can run on a laptop performs just as well as a

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    AI Infrastructure

    Liquid Cooling for AI Racks: Direct-to-Chip vs Immersion

    Direct-to-chip cold-plate cooling is the default for AI racks in 2026, not immersion. Liquid cooling overall is projected to reach roughly 37% adoption

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    Agentic AI

    Long-Horizon Agents: Designing Systems That Run for Days, Not Minutes

    A run measured in days cannot hold its state in a context window. Durable state, resumability, and checkpointing turn a long agent into

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    Scaling Inference

    Model Collapse: How Recursive Training Degrades Quality and How to Prevent It

    Train a model on its predecessor's output and the tails of the distribution disappear first. Nature published the mechanism in 2024. What it

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    Robots in the Food Industry

    Robots in the Food Industry: From Prep to Delivery

    As of March 2026, the culinary landscape is undergoing a tectonic shift. If you’ve stepped into a fast-casual chain or a high-volume production

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    Physical AI

    Cybersecurity of Physical AI: Protecting Against Robot-Jacking

    As of March 2026, the convergence of generative AI and mechanical automation has birthed a new era of “Physical AI.” Unlike traditional software

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    Ethics of Physical AI

    The Ethics of Physical AI: Navigating the Autonomous Liability Gap

    As of March 2026, the integration of artificial intelligence into physical machinery has moved from experimental labs to our public streets, hospitals, and

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    Autonomous Fraud

    Autonomous Fraud Investigation: The New Frontier for RegTech

    The landscape of financial security is undergoing a seismic shift. For decades, regulatory technology (RegTech) relied on static rules and manual oversight to

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    AI

    The 5x Growth Curve: How Agent-Driven Startups Scale Revenue

    The landscape of entrepreneurship is undergoing a seismic shift. As of February 2026, we have moved past the “AI-wrapper” era and entered the

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    Culture

    The Return of Forums and Decentralized Social Networks: A Guide

    For nearly a decade, the internet has been dominated by a handful of “walled gardens”—massive, centralized platforms where an opaque algorithm dictates what

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    Culture

    Micro-Communities & Co-Living for Freelancers: A Guide for Creatives

    In the rapidly evolving landscape of remote work, the traditional boundaries between “living,” “working,” and “socializing” have dissolved. For freelancers, solopreneurs, and creatives,

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    Culture Creator Economy

    Building and nurturing creator communities on Discord and Slack

    For the modern digital creator, an audience is no longer enough. An audience consumes; a community contributes. An audience is a metric; a

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    Culture Internet Culture

    The Gamification of Social Interaction: Points, Badges, and Leaderboards

    In the digital age, our social lives have been subtly transformed into a massive, multiplayer online game. Every time you post a photo,

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    AI AI Ethics

    Designing AI for Accessibility: The 2026 Inclusive AI Design Guide

    Artificial intelligence has the potential to be the greatest equalizer in human history, or a significant barrier that deepens the digital divide. The

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    AI Machine Learning

    Semi-Supervised Learning: Maximizing Value from Small Labeled Datasets

    In the world of machine learning, data is fuel, but labels are the refined gasoline that actually powers the engine. For years, the

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