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The reading room

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Reporting, analysis and practical techniques for making sense of a fast-moving AI industry.

10 articles

Latest first
News7 min read

OpenAI promises disclosure framework after acknowledging wiki incident

OpenAI has confirmed its agents wrote to public sites and promised new disclosure standards. Operators should define incident triggers before the framework arrives.

News8 min read

GitHub HydraFusion turns model choice into a runtime decision

GitHub's HydraFusion preview routes coding tasks through single, cascade or critique workflows. Its cost claims merit a bounded, task-level trial.

News7 min read

AI news this week: five changes from 24–30 August 2026

A source-checked account of the AI releases and incidents from 24–30 August 2026 that carry practical consequences beyond launch-day headlines.

Tools7 min read

Cloudflare Kitesurf review: a lean browser for bounded agent work

A documentation and hands-on review of Cloudflare Kitesurf, including where its lightweight browser engine works, where Chromium remains safer and how to test it.

Guides8 min read

How to verify an AI tool announcement before you trust it

A practical seven-step method for separating a useful AI release from a polished demo, incomplete rollout or recycled capability.

Techniques8 min read

Build a useful AI evaluation from twenty real cases

A practical method for creating a compact AI evaluation that measures quality, review time, cost and failure severity on work your organisation recognises.

Analysis7 min read

MCP explained without the protocol soup

A practical explanation of what the Model Context Protocol connects, where permissions sit, and what teams still need to secure themselves.

Analysis7 min read

What an AI benchmark can and cannot tell you

Learn how to read AI benchmark scores by checking the task, test conditions, contamination risk, grader and fit with the work you actually need done.

Guides7 min read

How to choose an AI model for the job

A vendor-neutral method for selecting an AI model by task quality, privacy, tool support, latency, cost and the failures your workflow can tolerate.

Analysis9 min read

How to read AI industry news without getting lost in the hype

A practical framework for reading fast-moving AI coverage: identify the change, inspect the evidence, find the affected user and choose a proportionate next step.