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Tag: AI

AI, Development

Feature selection for credit scoring models in Python

How I pick features for credit scoring models in Python: Kruskal-Wallis for continuous variables, Cramer’s V for categorical ones, and Spearman rank correlation to catch redundant pairs before any training starts.

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AI, Development

How I keep machine learning projects on track

Machine learning projects fail on planning more often than on algorithms. What works for me: chase approvals early, block real hours for the main pipeline, and stop repointing the stack every time a new model ships.

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Core Updates, Development

WordPress 7.0 APIs and why the release slipped

Notes from the Dev Chat on WordPress 7.0: the AI Client and Connectors API, why the release cycle got extended, the left navigation rethink, and the argument over YouTube support in the Cover block.

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Design, Development

Why design principles for products keep projects from drifting

Products drift when nobody writes down what they stand for. How Dieter Rams’ principles helped me kill an upsell on a WooCommerce checkout, plus the workshop and the CSS variables I use to keep principles in the code.

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AI, Core Updates

What WordPress Core AI in 7.0 means for plugin developers

WordPress 7.0 brings AI into core through the AI Client and the Abilities API. Here is what wp_ai_client_prompt() actually does, how to test it now, and what the Core AI team will work on during Contributor Day at WordCamp Asia 2026 in Mumbai.

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AI, Development

DenseNet architecture: why it concatenates instead of summing

DenseNet connects every layer to every later layer and stacks channels instead of summing them the way ResNet does. Why that helps with vanishing gradients, how bottleneck blocks and transition layers keep the tensors in check, and where the memory cost shows up in PyTorch.

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AI, Development

Safe AI system design and the inversion error problem

Frontier models stack a huge symbolic layer on an absent physical base, what Peter Zakrzewski calls the inversion error. The case for an enactive floor and for treating state-space reversibility as a hard constraint instead of an alignment patch.

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AI, Development

Quantum data encoding and where hybrid QML models fall apart

Most QML writeups skip past encoding. This one goes through basis, angle and amplitude encoding plus feature maps, and what each one costs you in qubits or circuit depth on current hardware.

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AI, Development

Explainable AI in production when SHAP is too slow

SHAP adds roughly 30ms to every prediction, which is fine offline and useless in a live request. Here is the neuro-symbolic alternative I benchmarked at 0.89ms, plus the weight collapse problem you run into on the way there.

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AI in WordPress, Core Updates, Development

What the WordPress 7.0 AI Client changes for plugin devs

The AI Client and Connectors API change how plugins talk to an LLM in WordPress 7.0. Notes from the Dev Chat agenda, plus the PHP refactor from a hardcoded wp_remote_post call to a registered ability.

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