Coté

Also: 55% of jobs reshaped, power over GPUs, a thousand DIY weekend platforms, and mood-tracking the robot MCP Servers for, and of, knowledge workers This is an excerpt from last week’s Tanzu Catsup. David and I have been talking a lot about the AI harness. We of course sprinkle in talk about how you would enterprise-y it up, esp. with security. My key insight and angle on all this is thinking about how all the AI harness stuff applies to NOT programmers, to knowledge workers.

I feel like there’s an unspoken set of assumptions and a slightly hidden “operating system” for how societies run. This comes out a lot when I read dense macro-economic analysis like this one. Let’s see what Opus 4.7’s angle is on my question: If I look at this piece, it seems to be saying Europe is not growing and the money isn’t flowing. Prices go up, etc. However, it lacks a certain reminding us of what the point is.

Developers need to tinker or they’ll reject your platform. That is a lesson that people who build tools and platforms for developers learn. The more ambitious your platform is in scale, the more tinker resistance you encounter - you want it to be the platform that 10,000’s of developers at a bank use, for example. What if you could give the tinkers what they wanted and also put a standardized, enterprise-wide platform in place?

Also: Cloudflare’s wholesale memory, custom Claude Code, and Google Cloud math From The Edge Not Taken. Related to your interests Headless everything for personal AI - What if we go back and o the command line? // DOS was good enough for our grandparents, it’s good enough for us. The Harness Is the Lever: Why Enterprise Compliance Now Runs on Evals, Not Edicts Cloudflare can remember it for you wholesale - A private cloud version of this would be cool.

Also: OpenAI’s enterprise play, Gemini voice acting, and airline antitrust I’ve covered our announcements this week about Tanzu platform agent foundations in other posts, check that out if you’re into that kind of thing. Now, onto usual nonsense… Duivendrecth fire station, early Spring 2026. Related to your interests Private Cloud Data Intelligence: The Case for Running AI Where Your Data Lives - Public cloud economics, compliance regulations, and data gravity are pushing enterprises back to private infrastructure; a unified lakehouse architecture combining MPP analytics, in-memory grids, streaming pipelines, and open-format object storage lets organizations run AI models directly on sensitive on-premises data without moving it.

It’s almost unfair to unmask the AI magic, but knowing is better than not: One way to understand an LLM is as an improv machine. It takes a stream of tokens, like a conversation, and says “yes, and then…” This yes-and behavior is why some people call LLMs bullshit machines. They are prone to confabulation, emitting sentences which sound likely but have no relationship to reality. They treat sarcasm and fantasy credulously, misunderstand context clues, and tell people to put glue on pizza.