artificial-intelligence
The Three-Week Shelf Life of AI 'Expertise'
AI advice often expires faster than the milk in your fridge. In a world where models evolve weekly, the most important skill is checking the date and the version.
The Cycle of Recycled Takes
Two months ago, the internet was obsessed with switching to Claude. Then GPT-5.5 arrived, and the same voices flipped their scripts overnight without a second thought. This isn't deep insight; it's a feedback loop.
Why 'Absolute' Rules Fail
The model you use today isn't the one you used last month. System prompts change, tool integrations are rewritten, and what was broken on Tuesday might be fixed by Friday. If a post tells you to 'Never do X' but fails to mention the specific model version, it’s likely just noise.
Gardening vs. Engineering
Working with Large Language Models is less like traditional engineering and more like gardening. Results depend on the 'season' of the model, the 'soil' of your context, and the 'seeds' of your specific prompt.
The Verdict
If a piece of AI advice doesn't tell you when it was tested and on which version, treat it like weather advice from someone who hasn't looked out the window.