- On the Psychology of Architecture and the Architecture of Psychology
[Sticky] About the role ‘convictions’ play in human intelligence, starting from the practical situations ‘advisors’ — such as IT advisors — find themselves in. Advisors need (a) to know what they are talking about and (b) be able to convince others. For architects, the first part is called ‘architecture’ and the second part could be called ‘the psychology of architecture’. Our intelligence — and that of our audience — is mostly ‘mental automation’, which makes us humans fast and energy efficient, but only ‘quick and dirty’. And like all automation: change is hard.
Latest Posts
Serious coding with LLMs. Lab notes 2026-10-27: A code audit of LLM-generated code: improving from ‘sludge’ to ‘vakwerk’
The sixth ‘lab note’. I had the code audited. With some helpful scripts and an example from my ‘context harness’
Serious coding with LLMs. Lab notes 2026-10-21: The throttling of subscriptions by OpenAI and Anthropic is really happening
The fifth ‘lab note’. This time on ‘tokens’ and the cost of generating them when working with LLM coding. Throttling is happening. Prepare.
Serious coding with LLMs. Lab notes 2026-10-13: Codex vs Claude on the same coding task.
The fourth ‘lab note’. More on the power and Achilles’ heel of “brute force trial and error with token pattern statistics” Goodbye, Codex. Hello, Limits.
Serious coding with LLMs. Lab notes 2026-10-01: Codex and Claude generate a shared analysis
The third ‘lab note’. More on the power and Achilles’ heel of “brute force trial and error with token pattern statistics”
Serious coding with LLMs. Lab notes 2026-09-27: Codex succeeds, Claude reviews the result.
The second ‘lab note’. More on the power and Achilles’ heel of “brute force trial and error with token pattern statistics”
Serious coding with LLMs. Lab notes 2026-09-25: Codex vs Claude Code, Usage Limit Resets
Before publishing about my very serious LLM-coding experiment, I am publishing a few shorter ‘lab notes’. This is the first one.
Anthropic/OpenAI may be spending more than $1000 for every $100 you pay them
Coding with LLMs (Claude Code, OpenAI Codex) is often presented as the ‘killer app’ for Generative AI. But looking at data, it seems the one piece of the puzzle missing is actual cost. A quest into getting a less muddy picture about what is going on, with surprising results.
The key to real intelligence might be imagination
Just copied from an earlier version on LinkedIn, a short article describing the key role of imagination in intelligence and why that may mean that self-driving cars require true intelligence and more than just reacting to sensors.
ArchiMate NEXT: summary verdict, “what’s in a name?”, and a wild ride.
Fourth (and last) post about the ArchiMate NEXT snapshot from last summer. Summarising and then going wild on suggestions. Fasten your seatbelts, ArchiMate-geeks!
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