Primitives over Pixels
When anyone can build an interface in an afternoon, what is a software vendor actually selling?
For most of the history of enterprise software, buying meant buying a roadmap. The vendor owned the interface, the data model and the feature queue. Customers filed requests and waited, and their leverage arrived once a year at renewal. The arrangement made sense because interfaces were expensive to build, so whoever built them held the power.
That cost has collapsed. With an AI assistant, a small team can produce a working dashboard, a bot or a bespoke workflow in an afternoon. The interface is turning from the product into a disposable surface, and the relationship between buyer and vendor is starting to reorganise around what remains scarce.
Read more below.
(Oprah voice) And YOU get a security breach! And YOU get a security breach! EVERYONE GETS A SECURITY BREACH!
Vibeware is hardware designed the way vibecoding builds software. You describe what you want, and AI models produce the design: the 3D model, the wiring, the firmware, the parts list. Then checks and simulations, written by the models too, catch what they get wrong.
TL;DR.
-> Hypercustom simulation for anyone. Soon anyone will be able to build custom, LLM-written simulations for their own hardware: fit, electrics, heat, faults, and how the thing behaves. I did it twice, for two very different products, without being a hardware engineer.
-> Early days. It's still early, about where vibecoding was in early 2024. The models draft fluently and miss precise details.
Protocols for Business Research Group Kick-Off November 2nd :)
protocolsforbusiness.com/kic…
The report examines the feasibility of recognising a narrowly defined “Right to Personal Memory Portability,” understood as a right enabling individuals to obtain a context-preserving personal memory record of their digitally mediated work contributions, subject to strict safeguards and exclusions. It assesses policy options at EU level, evaluates their legal and operational implications, and identifies areas requiring further empirical and legal analysis as digital and AI-mediated work practices continue to expand.