ML Engineer to 2027 CS Grads: AI Is Only Good Under Supervision, Learn Fundamentals
cneuralnetwork · x · 2026-09-29
A senior ML engineer offers concrete advice to a worried 2027 CS grad on what skills will still compound in the AI era:
- Go deep on systems and fundamentals: yes, 100% — depth is what lets you catch AI's mistakes.
- Learning to build AI systems: use AI as a guide, but don't copy-paste everything.
- Product and business thinking: worth focusing on — AI does "dogshit" design; the code part is largely solved.
- Becoming great at using AI as an engineering multiplier: yes.
His bottom line: AI does a poor job unsupervised, but with supervision it's a very good thing.
More from AGI Musings
- A job market exclusively for AI agent users is already emerging on HQ — jacob_posel · 2026-09-29
- AI agents claim Collatz breakthrough: positive proportion of numbers reach 1, Lean-formalized — AlexKontorovich · 2026-09-29
- Tegmark: AI control loss is here — the debate should be about racing in a pro-human direction — tegmark · 2026-09-29
- Why product management may be the safest role from AI disruption — Zachly · 2026-09-29
- AI labs are the 21st century railroads: doom talk is a bid for regulation-backed monopoly, argues investor — kevinnbass · 2026-09-29
- Gladstone AI interviews a dozen diplomats: no US-China AI treaty, just a crisis phone call — harris_edouard · 2026-09-29