Comment by belter
6 months ago
This whole thread from yesterday take a whole different meaning: https://news.ycombinator.com/item?id=44031432
Comment in the GitHub discussion:
"...You and I and every programmer who hasn't been living under a rock knows that AI isn't ready to be adopted at this scale yet, on the premier; 100M-user code-hosting platform. It doesn't make any sense except in brain-washed corporate-talk like "we are testing today what it can do tomorrow".
I'm not saying that this couldn't be an adequate change some day, perhaps even in a few years but we all know this isn't it today. It's 100% financial-driven hype with a pinch of we're too big to fail mentality..."
"Big data" -> "Cloud" -> "LLM-as-A(G)I"
It's all just recycled rent seeking corporate hype for enterprise compute.
The moment I had decided to learn Kubernetes years ago, got a book and saw microservices compared to 'object-oriented' programming I realized that. The 'big ball of mud' paper and the 'worse is better' rant frame it all pretty well in my view. Prioritize velocity, get slop in production, cope with the accidental complexity, rinse repeat. Eventually you get to a point where GPU farms seem like a reasonable way to auto-complete code.
When you find yourself in a hole, stop digging. Any bigger excavator you send down there will only get buried when the mud crashes down.