When AI Model Releases Become Government Decisions
An opinion piece on the US government gating frontier AI releases, the security argument, and the commercial cost of slowing models down.
An opinion piece on the US government gating frontier AI releases, the security argument, and the commercial cost of slowing models down.
A speculative look at AI-generated mini apps, VibeOS, Google Search, and why durable software survives where state, trust, and depth matter.
How I use Codex, JetBrains IDEs, Copilot review, AGENTS.md, reusable skills, and CI checks to make AI coding reliable.
What current UK evidence says about AI exposure, adoption, entry-level work, and the roles most likely to change.
A developer-focused summary of the State of AI 2026 survey, covering adoption, coding agents, paid usage, costs, risks, and what engineering teams should take from it.
How to structure Docker Compose so several AI coding agents can run the same multi-container Laravel app at the same time without clashing over ports, volumes, databases, or seed data.
Why AI coding tools only create lasting velocity when leaders fix trust, feedback loops, governance, and engineering fundamentals.
A practical comparison of Apple MLX and NVIDIA CUDA, where they overlap, where they differ, and how those differences should shape your choice.