Insights on all things 'digital', both technical and non-technical
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.
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.
Fourth (and last) post about the ArchiMate NEXT snapshot from last summer. Summarising and then going wild on suggestions. Fasten your seatbelts, ArchiMate-geeks!
A new version of ArchiMate is coming. Last summer a snapshot of “ArchiMate NEXT” was published. Third of a few articles with my thoughts on the development, like the previous one focusing on an aspect that did not change (but maybe should)
A new version of ArchiMate is coming. Last summer a snapshot of “ArchiMate NEXT” was published. Second of a few articles with my thoughts on the development. Focusing on ArchiMate's second essential property: external behaviour/structure (services, interfaces), versus internal and the role of abstractions.
A new version of ArchiMate is coming. Last summer a snapshot of "ArchiMate NEXT" was published. First of a few articles with my thoughts on the development. With a slight sprinkling of history.
We introduce a new term: "AI-slopcast". This is a podcast that is created by Generative AI and — surprise! — is AI-slop. The victim: one of my own posts.
It turns out that AI has created a whole new language. Humans do not speak it, and they may even mistake it for talk about sex. But luckily Generative AI is able to translate it to something humans can understand (and where the sex doesn't show up).
'Reasoning models' such as GPT4-o3 have become a well known member of the Generative AI family. But look inside and while they add a certain depth, at the same time they add nothing at all. Not 'reasoning' anyway. Just another 'level of indirection' when approximating. Sometimes powerful. Always costly.
GPT-3o has done very well on the ARC-AGI-PUB benchmark. Sam Altman has also claimed OpenAI is confident that it can build Artificial General Intelligence (AGI). But that may be based on confusions around 'learning'. On the difference between narrow, general and (introducing) 'wide' AI.