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Category: AI

AI, Core Updates, Development

WordPress Workspace for Mac: what the beta actually does

WordPress Workspace for Mac is in beta. It puts a site-aware agent, voice dictation and screenshot uploads on the desktop instead of in another browser tab, and it previews the Guidelines feature headed for Core.

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AI, Development

Data wrangling with Pandas is still my default in 2026

Rust-based data libraries keep shipping, but Pandas still runs most of my production pipelines. Vectorized string operations, ast.literal_eval instead of eval, and the DataFrame constructor trick that beats df.apply(pd.Series) on big datasets.

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AI, Development

Why recursive language models beat ReAct for long context

Recursive language models get a pointer to the data instead of having the whole thing pasted into the prompt. Why that beats ReAct and CodeAct on long-context work, and what it means for auditing a large WordPress codebase.

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AI, AI in WordPress

6 AI production trade-offs that show up after launch

Six trade-offs that decide whether an AI feature survives production: what a cheap API really costs at scale, why a complex model gets expensive 18 months later, and when batch inference beats real-time.

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AI, Development

Credit scoring categorization: how to bin risk variables

Raw variables are rarely the best way to represent risk. How binning and Weight of Evidence keep a logistic regression stable and interpretable, and why missing income is a risk category of its own.

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AI, Core Updates, Development

WordPress 7.0 features and what they mean for developers

WordPress 7.0 brings a provider-agnostic AI client, PHP-only block registration with autoRegister, and a minimum PHP 7.4. This is a practical walk through those changes, with code examples and where they help on real sites.

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AI, AI in WordPress

Why your AI coding assistant drifts into the wrong language

Mixing technical English tokens like run.py can push an AI coding assistant to drift in the embedding space, sometimes replying in Korean when prompted in Chinese. How task registers shape the behavior, and how to keep your prompts grounded.

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AI, Development

Build an LLM evaluation system that catches hallucinations

A scoring layer that measures attribution and specificity, so you can catch confident hallucinations instead of trusting responses that just sound right. Includes the Python logic and a regression suite for CI.

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AI, Development

Why flat RAG fails on complex enterprise documents

Flat RAG breaks on complex documents like contracts and research papers because it flattens away their structure. Proxy-Pointer RAG uses structure-aware retrieval and breadcrumb embeddings to keep that hierarchy intact when comparing them.

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AI, Development

Inside OpenAI’s 131,000-GPU AI training fabric

OpenAI’s MRC protocol runs their 131,000-GPU training fabric by disabling BGP and OSPF and pushing routing intelligence to the endpoints. A look at how “dumb” switches and a lossy Ethernet design cut the tail latency that stalls massive GPU clusters.

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