Can Ease of Creation Lead to Decrease in Quality & Value?https://pikuma.com/blog/ease-creation-decrease-quality-value
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Model backdoors are easy to create and hard to reliably removehttps://equistamp.substack.com/p/model-backdoors-are-easy-to-create
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What Happened to the Desktop Metaphor?https://deadparrotbbs.com/what-happened-to-the-desktop-metaphor
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Where is all the new, good software?https://www.natemeyvis.com/where-is-all-the-new-good-software
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Creusot 0.14.0 release - Contracts for Rust, formally provedhttps://devlog.creusot.rs/v0-14-0
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Freeze the Controller, Defrost the Food: Uncovering Vulnerabilities in Danfoss Refrigeration Controllershttps://claroty.com/team82/research/freeze-the-controller-defrost-the-food-uncovering-vulnerabilities-in-danfoss-refrigeration-controllers
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500+ Billion Tokens Later: Letting AI Agents Decompile A First-Person Shooterhttps://momo5502.com/posts/2026-10-09-game-decompilation
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A slightly faster slimmer curlhttps://daniel.haxx.se/blog/2026/10/13/a-slightly-faster-slimmer-curl
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DataCube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals (1997)https://arxiv.org/pdf/cs/0701155
Abstract: Data analysis applications typically aggregate data across many dimensions looking for anomalies or unusual patterns. The SQL aggregate functions and the GROUP BY operator produce zero-dimensional or one-dimensional aggregates. Applications need the N-dimensional generalization of these operators. This paper defines that operator, called the data cube or simply cube. The cube operator generalizes the histogram, cross-tabulation, roll-up, drill-down, and sub-total constructs found in most report writers. The novelty is that cubes are relations. Consequently, the cube operator can be…