'Am I Too Late to Study AI?' Redditor Weighs Fundamentals vs OpenAI's Research Progress
arvolog · reddit · 2026-09-13
- A Redditor asks whether it's too late to seriously study AI, citing OpenAI systems using thousands of parallel agents on Navier–Stokes (a Millennium Prize Problem) with results formalized in Lean — a decade after AlphaGo beat Lee Sedol.
- He favors a fundamentals-first path: Python → linear algebra → probability/statistics → ISLP → ML → deep learning → transformers → RL → LLMs/agents → research, rather than chasing the newest APIs.
- Core question: if AI increasingly improves AI itself, do fundamentals and research judgment matter more, or less?
Related event: OpenAI's 10,000-Agent Navier-Stokes Claim Sparks Math Community Credit War(18 posts)→
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