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Rule learning: RIPPER, decision lists, and models that output human-readable rules
Most classifiers return a label or probability. A rule learner returns logic that a person can inspect and execute:
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Scaling and normalization: StandardScaler vs MinMaxScaler vs RobustScaler, and the models that don’t care
Suppose a dataset contains two useful features:
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Eigenvalues and SVD without tears: compress an image to see them work
An RGB image looks visual to us, but to NumPy it is three matrices: one each for red, green, and blue. Real images contain repeated structure—smooth gradients, correlated colors, recurring edges, and
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Topics Everyone Is Talking About No397
Codex Security • New HIV vaccine shows unprecedented success in preclinical study • You Could Have Come Up with Kimi Delta Attention • Replace Your CI With a Merge Queue • The mean means nothing…
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Codex vs Claude Code vs Copilot: How the Agent Harness Became the Product (2025-2026)
In 2025, AI coding tools competed on model choice and basic autonomy. Through 2026 the differences that mattered moved outward into the harness: instruction files, delegation, hooks, approvals, sandboxing, and where the agent actually runs. A dated, sourced comparison of OpenAI Codex, Anthropic Claude Code and GitHub Copilot.
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Topics Everyone Is Talking About No396
Our position on open-weights models • Kimi-K3 Releases on HuggingFace 727 • PGSimCity – How PostgreSQL Works • Blogging Can Just Be Stating The Obvious • Most Googlebots are fake
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DuckDB: an analytics warehouse that fits in your laptop’s pocket
If you’ve ever wanted to analyze gigabytes of data without provisioning a database server or signing up for a cloud data warehouse, DuckDB is worth a serious look.
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ONNX: one model format to run everywhere, from server to browser
Modern AI deployment rarely happens in the same environment where a model was trained.