One piece of prompting advice you've likely heard at least a few times before is to give AI chatbots as much context as possible. Don't leave much room for assumptions or interpretation, and be as clear about your requirements as you can to ensure the final result is exactly what you're looking for. It's advice I've followed myself, and when you think about it, it makes complete sense. How can you reasonably expect an AI chatbot to give you exactly what you want if you don't tell it what that is?

However, what we tend to forget is that AI models have come a long, long way since the early days of ChatGPT. That got me wondering: do we really need to be so specific with our prompts anymore? AI labs are increasingly pushing the narrative that their models can reason through complex problems, understand what we're trying to accomplish, and make decisions on their own.…