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Mario asked me why 18% of his shipments were late when every team hit their…
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The silent gaps in synthetic data that only show up when your model is already…
Latest
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It’s simpler than you think.
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Turning free-to-use data into a hypothesis-ready dataset
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Learn how Propensity Score Matching uncovers true causality in observational data. By finding “statistical twins,”…
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How I turned LLM persona interviews into a repeatable customer research workflow
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A short intro to scientific methodology to combat “prompt in, slop out”
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Run OpenClaw assistant through alternative LLMs
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How you can build your own Thompson Sampling Algorithm object in Python and apply it…
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For any data scientist who works in a team, being able to undo Git actions…
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A guide to bridging the gap between ease of use and raw performance.
Editor’s Picks
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And what does it tell us?
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Why it tickles your brain to use an LLM, and what that means for the…
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Git worktrees, parallel agentic coding sessions, and the setup tax you should be aware of
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How I turned my eight-year weekly visualization habit into a reusable AI workflow
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Architectures, pitfalls, and patterns that work
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Inside MareNostrum V: SLURM schedulers, fat-tree topologies, and scaling pipelines across 8,000 nodes in a…
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The upstream decision no model, or LLM can fix once you get it wrong
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Machine learning models can be confident even when they shouldn’t be. This article introduces Deep…
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How to turn OpenStreetMap data into an interactive map of wild swimming spots using Overpass…
The Variable Newsletter
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Authors can now benefit from updated earning tiers and a higher article cap
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Sorting through the good, bad, and ambiguous aspects of vibe coding
Deep Dives
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The hidden cost of probabilistic outputs in systems that demand reliability
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Conceptual overview and practical guidance
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Generating Minecraft Worlds with Vector Quantized Variational Autoencoders (VQ-VAE) and Transformers
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What if an unsupervised model could become a strong classifier with only a handful of…
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The problem with agent memory today
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Inside disaggregated LLM inference — the architecture shift behind 2-4x cost reduction that most ML…