
The Machine Does Not Need a Hat
Context engineering is prompt engineering grown up: less magic wording, more tools, tests, observability, judgment, and feedback loops.

When every AI model agrees, it may not be wisdom. It may just be the same statistical middle wearing different corporate hats.

Context engineering is prompt engineering grown up: less magic wording, more tools, tests, observability, judgment, and feedback loops.

AI can either deepen self-invalidation or lower the barrier to practice. The difference lies in culture, incentives, and how we use it.

AI’s real danger is not that we stop thinking, but that we stop believing our own imperfect thoughts are still worth having.

Players don’t object to tools. They object when AI replaces visible craft, muddies authorship, and turns games into cheaper-feeling content.

Language strives for simplicity - until machines use it as plumbing. AI agents may work better when text moves to the boundary, not the core.

RecursiveMAS suggests that future AI agents may collaborate less through text and more through latent states - faster, cheaper, and harder to inspect.