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Jumbo Frames on Ethernet
2026-06-19
Jumbo frames are one of those networking topics that never quite go away. They keep returning in design reviews, storage checklists, virtualization guides, vendor best-practice documents, cloud tuning pages, and endless forum threads where somebody asks a simple question and receives the old infrastructure reflex: “Yes, enable them.”
That reflex had a rational historical basis. Operationally, in most modern networks, it has become much harder to defend. ... continue
Less Cinema, More Paperwork
2026-04-20
The most popular analogies around AI are usually the worst ones, because they jump straight to apocalypse, utopia, or machine rebellion and miss the transformation already happening in front of us. A far better analogy is older, less glamorous, and much more revealing: the history of writing becoming administration.
The strongest historical analogy for LLMs is not Skynet, industrial automation, or a new species. It is the old pattern in which an expressive medium expands access and then hardens into records, templates, procedure, governance, and bureaucracy. Less cinema. More paperwork. Unfortunately that is usually where real power hides. ... continue
Consequential, Not Just Useful
2026-04-20
For a while, the industry kept talking as if tool access merely made models more “useful”. That description is too soft by half, because the real shift is harsher: once a model can perceive and act through an environment, its outputs stop being merely interesting and start becoming “consequential”.
Model Context Protocol (MCP) does not just make language models more capable in some vague product sense. It moves them closer to “consequence” by connecting model output to trusted systems, permissions, tools, and environments where words can become actions. ... continue
From Prompt to Protocol Stack
2026-04-18
The future of AI control was never going to fit inside one clever paragraph typed into a chat box. What looks like prompting today is already breaking apart into layers, and each layer is quietly starting to serve a different audience: humans, agents, tools, infrastructure, and, eventually, other layers pretending not to be there.
Prompting is evolving into a full protocol stack. Natural language remains at the human boundary, while deeper layers increasingly carry schemas, tool definitions, memory layouts, compressed state, and possibly machine-native agent communication. The chat box survives, but it is no longer the whole machine. ... continue
Hidden Language Beneath English?
2026-04-16
Most prompt engineering is written in English, and the industry often treats that fact as if it were almost self-evident. But once you ask whether English is truly the best control medium or merely the most overrepresented one, the ground starts moving under the whole discussion.
There is no strong evidence yet for one universal hidden “control language” beneath English. But there is real evidence that useful control can happen through non-natural-language mechanisms such as soft prompts, steering vectors, and latent or activation-based agent communication. So the idea is not crazy. It is just easier to say crazy things around it than careful ones. ... continue