AI is a bubble, just like dot-com
This commentary explores the growing divide in the tech industry regarding the rapid adoption of AI tools like Claude. It highlights the tension between leadership's push for AI integration and the skepticism of engineers who worry about the loss of technical understanding.
Why it matters
It captures the cultural and professional anxiety within the software engineering community as AI begins to automate core development tasks.
Andrej Karpathy has written large language models the way most of us have written CRUD apps. He was a founding member of OpenAI, ran AI at Tesla, and joined Anthropic this spring to train Claude. He wrote nanoGPT and llm.c, the small readable codebases people use to learn how a language model works end to end.
When Anthropic put Claude inside Slack, he called it “a new paradigm” — the third major redesign of how humans use these systems. Not a website you visit anymore, not an app you install, but “a self-contained, persistent, asynchronous entity with org-wide tools and context, working alongside teams of humans.”
He closed with: “it works and it is awesome.”
The replies had a different read. One of them, in full:
> This is a new paradigm brother it's a slack integration I miss the old andrej
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