Why desktop AI agents could become the next productivity layer by helping people automate, adapt, and build tools directly where work happens.
Why AI reinforces the shift toward text-based artifacts for data integration, infrastructure, automation, and software work.
As frontier models get expensive, developers need to route tasks by risk, complexity, and cost instead of using one model for everything.
GPT-5.5 may be better, but its pricing changes how developers should use frontier models in real coding workflows.
Why volume of practice beats talent for learning trades and programming, with lessons from teaching and real-world repetition.
Valérian de Thézan de Gaussan