Zero Day Clock data suggests defenders have less time after disclosure. Here is what it measures, what it cannot prove, and how teams should respond.
user@cgh.mx:~$ ls -la /content/posts/
A practical comparison of Gemini, Claude, and Microsoft Copilot subscriptions based on ecosystem fit, coding strength, research workflows, and daily value.
Canonical says Ubuntu will get AI features over the next year, but the important part is the model: local inference, open harnesses, confinement, and optional workflows instead of a heavy-handed Copilot-style push.
Google AI Pro can improve research workflows inside Google tools, but the real value depends on clean files, source discipline, and privacy choices.
Uber’s OpenAI work shows how AI is moving into real-time operations: driver guidance, voice booking, routing, guardrails, and evaluation.
A chaotic local LLM experiment shows why AI agents need scope, benchmarks, rollback, and human approval before changing Linux systems.
OpenAI and Microsoft say their amended agreement brings more flexibility and clarity. The real story is what changes for cloud access, licensing, and future leverage.
GPT-5.5 raises the bar for coding, tool use, and longer real-world workflows without getting slower. Here is what changed and why it actually matters.
Once an AI agent can see live operational context, it stops being just a coding helper and starts becoming useful for proactive monitoring, infrastructure support, and continuous improvement.
I connected my Python project to Grafana, Loki, Alloy, and Grafana’s MCP server so the agent could work from live operational context instead of pasted errors.