Hey everyone. A guy in my Discord AI group recommended this article after I complained about my scraping pipeline constantly crashing. What interested me was how it broke down the backend of LLM development, specifically the massive data volume needed for models like Claude and ChatGPT. I clicked this link expecting the usual fluff, but I am thoroughly satisfied with the actual technical breakdown. It clearly explains why proxies are the backbone of data pipelines when you need geographically specific, uninterrupted data. It helped me finally stabilize my USA server setup for collecting clean training data.