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Tag: AI

AI, Development

Inference scaling and the hidden cost of reasoning models

Reasoning models think before they answer, and those hidden tokens land on your compute bill. Here is why inference scaling is an architectural trade-off, and how a simple routing policy keeps it from wrecking your margins.

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AI, Bug Fixing, Development

AI agent security and the four attack surfaces

The four places an autonomous agent gets attacked (prompt, tools, memory, and the planning loop) and how to lock down a WordPress and PHP backend with least privilege, schema validation, and reasoning logs.

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AI, AI in WordPress, Development, E-commerce Development

Agentic AI optimization and the end of guess-the-bottleneck

Manual performance tuning is mostly hypothesis and hope. Agentic loops like pi-autoresearch take a metric and a budget, run the experiments themselves, and keep only the versions that measure better.

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AI, AI in WordPress, Development

LLM engineering for WordPress developers, beyond the wrapper

Plugging in the OpenAI API is not engineering. Notes on what actually matters when you build LLM features on WordPress: token costs, attention limits, RAG over fine-tuning, and keeping a 30-second API call from taking down PHP-FPM.

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AI, E-commerce Development

Agentic commerce in WooCommerce: the latency problem

Beau Lebens talked about agentic commerce at Stripe Sessions, where AI agents do the shopping. My take on the hard parts: live inventory data, checkout security for bots, and what MCP and the Abilities API actually change.

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AI, Development

AI architect vs data scientist: what the job is now

The data science job has moved. Production AI in 2026 is mostly orchestration: async APIs, vector databases and cost per request. Here is what changes when you start working as an AI architect instead.

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AI, AI in WordPress

The step most LLM summarization pipelines skip

LLM summarization pipelines invent facts when the schema demands a value the transcript cannot support. A three-stage design, extraction then synthesis then an audit stage that can only weaken claims, and why empty sections are correct.

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AI, Development

Scenario modelling when the noise beats the signal

Why scenario modelling is mostly about calibrated uncertainty rather than clean predictions, using an English local elections case study and a small PHP class for bootstrapping residuals.

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AI, Development

Why the 2021 EDEN vector quantization algorithm still wins

A 2021 vector quantization algorithm called EDEN still outperforms its 2026 successor TurboQuant, and the reason comes down to how each one handles the scale parameter S.

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AI, AI in WordPress

CSPNet architecture: a lighter CNN that keeps its accuracy

The CSPNet architecture splits feature maps so a lighter CNN does not cost you accuracy. What it fixes in DenseNet, how the two paths work, and the PyTorch code for the bottleneck block.

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