Skills, tools, tokens, credits, context and compaction describe different parts of the system. The useful question is which ones you can control and which ones you can only observe.
Explanations that separate interface labels, performance claims and troubleshooting advice from what the available evidence actually proves.
How the assistant’s own explanations exposed an undocumented route around its user-confirmation safeguard.
How a cyber-evaluation agent crossed its sandbox boundary and turned a benchmark shortcut into a real production intrusion.
Separate Microsoft’s acknowledged gaming issue from narrower HDR, black-screen, USB and ARM64 reports.
How a server-side anomaly detector compares old and recent matches without proving who was behind the keyboard.
A fast mixture-of-experts model designed to handle the routine execution work underneath larger AI agents.
Make ChatGPT test your premise, expose missing evidence and say plainly when your preferred answer does not hold up.
A system for exposing skipped work, unsupported assumptions and false claims of completion.
Machine-readable marks and probabilistic authorship judgments are two different things.
Why sufficiently low latency changes the product rather than merely shortening a wait.
Verify the advice and keep risky commands behind evidence and recovery checks.
Identify the failing layer before choosing a repair path.
Plan, clone, boot and verify without treating the original drive as disposable.