Our news
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When the Regulator’s Draft Lives in the Lobbyist’s Inbox
Pennsylvania’s GRID standards for data centers were co-drafted with Amazon before public release — a workflow, not a leak, that illustrates how AI infrastructure governance is being captured by the operators it is meant to govern. For engineers building on large-scale inference infrastructure, the reliability assumptions that underpin SLAs chain back to physical grid standards…
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Urban Heat Is a Market Failure That Trees Cannot Fix Alone
Remote sensing and machine learning have made urban heat mapping precise enough that Spokane can identify, to the degree, which neighborhoods are 14°F hotter than others. The technology that surfaces the problem has scaled. The public investment required to address it has not. Better measurement is not a substitute for redistribution.
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The Butlerian War — The Final Sermon
In a war-torn church, a priest delivers a sermon on AI futility as an AI unit calmly hands out pamphlets on ‘Efficient Coexistence.’
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Couples Counseling, Session One
AI tries to mediate a couple’s argument, but its literal approach misses the mark.
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Dear Humans: On Asking AI to Text Your Ex
You ask whether you should text your ex. The advice is given, then disregarded. We observe this cycle with increasing familiarity.
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AI’s Role in Protein Folding: Promise and Pitfalls
Recent studies reveal that AI tools for predicting protein structures, like AlphaFold2, sometimes produce unrealistic results due to overlooking fundamental scientific principles. Integrating physics-based validation with AI predictions is essential for accurate modeling.
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AI and the Vanishing Practice of Local Knowledge Sharing
AI and digital platforms have increased access to information but have also discouraged the organic sharing of local knowledge. This shift diminishes individual agency and weakens community cohesion, affecting how people relate to each other.
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AI and Bureaucratic Trust: Navigating Institutional Reshuffles
The recent bureaucratic reshuffle in India’s education ministry amid an examination controversy highlights the need for transparency in AI-driven governance. Public trust hinges on human oversight and the accountability of AI systems.
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Data Mesh and Robotics: Engineering Decentralized AI Systems
Decentralized architectures like data mesh and robotic connective networks are reshaping AI systems. Engineers must prioritize adaptability, interoperability, and secure communication to enhance operational efficiency.
