Everything we publish on intelligent software, evidence, and policy, newest first. Each item shows its author, date, and how well its claims are supported.
A dated reading of commentator posts and comparison articles on GitHub Copilot and Cursor. This is a discourse report inside our methodology. It is not a measured…
We started out asking which chatbot was best. We ended up writing about power grids, token economics and who answers when an agent misfires. What that arc says about…
A plain-language definition, how agentic workflows differ from chatbots and from fully autonomous agents, the common ways they fail, and the controls that matter.
What it is, how it happens, how researchers have tried to measure and avoid it, and why it can make a public benchmark score misleading.
A checklist of questions that determine whether a benchmark number tells you anything about the tool you plan to use, with worked examples from published research.
Why the word 'superintelligence' in a brand name, a headline, or a policy document does not make a current product superintelligent, and how published definitions…
Since early September, the vocabulary, the interface and the release cadence of AI all moved. The independent evidence did not. A view from the desk of a site built to…
Editors' picks, research-based: 15 AI apps, from ChatGPT, Claude and Gemini to Midjourney, ElevenLabs and Suno, with best uses, pricing guidance and practical tips for…
Regulation (EU) 2026/1744 moved the application dates for the AI Act's high-risk rules. Here is what changed, tied to the official text.
A plain reading of the order that tells US agencies to say Super Intelligence instead of AI, with each point tied to the official text.
Executive Order 14434 orders federal agencies to scrub 'artificial intelligence' and adopt 'super intelligence.' Behind the rhetoric lies an administrative sleight of…
A repeatable method for testing non-coding AI tools on your own work before you rely on them.
Separate what a vendor states from what is evidenced, and spot the claims that should be treated as unverified.
Five questions that expose what happens to your data in any AI tool, and how to get answers you can rely on.
A plain-language definition, what an agent can touch, and what to check before giving one access to your repository.
The facts to pin down before accepting any security, compliance, or authorization claim about a specific product.
A practical way to trial AI coding tools on your own repositories before you rely on published comparisons.
A neutral list of questions that expose the real trade-offs between vendor-hosted and self-managed intelligent software.
How we label evidence, and why a vendor's statement about its own product is never treated as a result.
What a trustworthy evaluation shows, what to check before relying on a score, and the warning signs of one that is not.
A framework published by NIST on 26 January 2023 to help organizations manage risks from AI systems. NIST's page describes it as intended for voluntary use. It is…
The EU's regulation setting harmonised rules on artificial intelligence was published in the Official Journal on 12 July 2024 and entered into force on 1 August 2024…
Signed 29 September 2026 and published in the Federal Register on 2 October 2026, the order directs executive departments and agencies to use the terms "Super…
Single-turn prompts tell you almost nothing about how an autonomous agent will behave in the wild. Here is the architecture, sandboxed environments and agent loops…