How can a non-programmer start building things with AI?
Marketing background, zero code. I keep reading about people building apps with AI assistance. What can someone like me realistically build, and where do I start?
5 members · 25 questions
Prompting, models and building with AI — what works and what's hype.
Marketing background, zero code. I keep reading about people building apps with AI assistance. What can someone like me realistically build, and where do I start?
Seeing courses selling 'prompt engineering certification' for serious money. Is this a real career skill or a temporary gold rush?
People use ChatGPT the way they used Google. Are they doing the same thing differently, or are they fundamentally different tools?
I've been fooled twice now. Are there reliable signs to look for, or is that already a lost cause?
First-year CS student having a small existential crisis. Copilot writes half my assignments already. Am I investing four years into a dying career?
Seeing conflicting takes — 'data science is dead, it's all AI engineers now' vs 'demand higher than ever'. What's the honest read for someone starting today?
I keep seeing job listings for prompt engineers with high salaries. Is this a genuine long-term skill or a temporary bubble?
It gave me three academic citations that don't exist and sounded completely sure. How do I know when to trust it?
I asked three AI tools the same thing and got three different answers, one of which was wrong. Why isn't there one correct answer?
I want an intuition for what's happening inside a neural network without the calculus. How does adjusting numbers turn into learning?
I've seen wildly different claims about AI's energy and water use. What's the realistic picture?
Generative AI seems to be treated as a new thing entirely. What changed compared to the AI that already existed in products?
These three terms are used interchangeably in every article. Are they the same thing or is there a real hierarchy?
I'm building something with an LLM and people keep suggesting fine-tuning. When is it actually worth it versus just writing a better prompt?
AGI comes up constantly in AI discussion. What separates what we have now from what people mean by general intelligence?
I use ChatGPT daily but couldn't explain what's happening under the hood to save my life. What's the honest simple version — not the 'it's magic' one and not the PhD one?
I want to invest my learning time well. Which skills are actually appreciating in value rather than being automated?
These get used interchangeably everywhere and I want to actually understand the hierarchy before my interview. Simple explanation?
My stats professor swears by R, every job posting says Python. Starting my first ML project — which do I invest in?
All the coverage is about jobs disappearing. Is there a realistic picture of what new work appears, and what's actually safer?