What my dad taught me about AI coding in the 90s
What happened
The article recounts a programmer’s childhood lessons from his dad in the 1990s, when AI work was done on limited hardware using low‑level languages, careful memory management, and rule‑based systems. It highlights how those fundamentals—debugging rigor, algorithmic thinking, and an appreciation for resource constraints—still underpin modern AI development despite today’s high‑level tools and massive compute.
Why it matters
Understanding these roots reminds today’s engineers that solid fundamentals and efficiency mindsets are crucial as AI models grow larger and more complex, helping to curb wasteful practices and improve model robustness.
Is this a big deal?
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