Reading notes: bacteria to AI
Reading notes on cognitive assemblages, anthropocentrism, and the case for extending cognition beyond human consciousness, from bacteria to AI.
Ideas waiting to germinate.
Reading notes on cognitive assemblages, anthropocentrism, and the case for extending cognition beyond human consciousness, from bacteria to AI.
Some kind of reading log for Bacteria to AI, and perhaps even a reminder to actually read.
Being PO, scrum master, prompt designer, tester, eval writer and UX designer in a team of 3 means rethinking roles and processes on a daily, almost hourly basis.
Claude Code is reintroducing structured, constrained input: buttons, numbered options, limited choices. Which is actually IVR. And that might be exactly right.
What if we modeled human-AI interaction on thematic analysis rather than conversation? And what if we used that same method to discover themes in a knowledge garden?
Can a chatbot-style UI work without generative AI, using decision trees, hyperlinking, and serendipity instead?
Standard quantization damages non-English languages disproportionately. A Dutch-first approach to model compression shows there's a better way.
Academic research on embeddings hasn't caught up with how PKM tools actually use them. There might be something worth writing here.
A living list of ideas and plans for this garden.
Should a digital garden be searchable and useful, or is there beauty in letting people explore?
Language rules for how I talk about AI in my work.
When did we stop caring about who actually wrote the words?
A mechanism that catches your train of thought. Something that responds in another space.
What's the right metaphor for AI's role in my writing process?
How should I indicate when content was made with AI β and share the prompts?
What if I wrote a comprehensive guide on how I built this site?
What design principles shaped this site β and why do they matter?