Karpathy made the adjacent observation that stuck with me. He pointed out that Claude Code works because it runs on your computer, with your environment, your data, your context. It's not a website you go to — it's a little spirit that lives on your machine. OpenAI got this wrong, he argued, by focusing on cloud deployments in containers orchestrated from ChatGPT instead of simply running on localhost.
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This is a systemic challenge we're still working on: how do you distinguish signal from noise when individual reports look unremarkable? We're rethinking how we correlate support tickets with deployment timelines and how we escalate patterns that span multiple customers.
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