If you were starting with AI again today, what would you learn first—and what would you skip?”

What data does an AI system usually need before it can start learning?

What’s one thing you understand about AI now that confused you when you first started?

Be honest 👀 What percentage of your code today was written or fixed by AI? I think it’s 95% for me coz I would want to take 5% credit for debugging. 😂

What’s the first thing you would monitor after deploying an ML model to production?