What's your minimal viable model? - Waldek Mastykarz
We tend to talk about AI literacy as if it were one skill, but there are at least two. The first is knowing what AI can do. You learn that instead of asking for a function, you can ask for an outcome. Instead of giving an LLM a document, you can let an agent search a hundred of them. Instead of asking one question, you can ask it to research a subject and challenge its findings before producing a report.
The second is knowing what good means to you. It’s easy to ask an LLM to write a better strategy, but articulating what makes one strategy better takes real work. You can ask a coding agent to implement a feature just as easily. Before you can evaluate the result, though, you need to define the architectural tradeoffs that matter and which shortcuts you don’t want it to take.