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If you have ever worked in almost any other industry your first question quickly answers itself. If you have never worked in an industry principally governed by ethical standards it would be challenging for me to describe it to you. I cannot give you what your perspective has never before imagined.
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I'm not sure how you can know what I've experienced or imagined. But I appreciate your ownership of the communication failure here.
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I sure as hell don’t want a doctor who hasn’t gone through any kind of certification and approval process.
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for me it would depend on a situation (I definitely would not want to be in a situation where this would be needed)
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Coding interviews don't matter anymore.

Every part of your existing job is transforming before your eyes.

If you cling to definitions and static roles, you're going to have a bad time.

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I just finished several months of interviewing and think that you must be projecting a bit. Every one of them included a coding interview with no AI use allowed.
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OpenAI and Anthropic still do coding interviews, though?
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Sounds like the software execs who create addictive software but make sure their own kids don’t have a phone.
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This makes sense, though. They have to be exceptionally confident in the performance of the product and work to continually improve its quality and efficiency. Many other companies can get by more just as consumers of it, but the makers of the product need some of the best coding skills available.
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They keep claiming their agents are better than any programmer.
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If they do, they're behind the curve. They don't matter anymore.

Systems design, architecture, database fundamentals, a bit of SRE. That matters. Not coding and syntax and toy problem solving with data structures and algorithms.

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I think this is something where definitions and static roles might serve as a useful reference point. Is it really the case that the trillion-dollar frontier AI labs are behind the curve, and only some other group of people knows how to really leverage AI? It's not impossible - Nvidia employees aren't the best in the world at using their chips - but the hypothesis practically demands some analysis of who these clever curve-setters are and why we're hearing so much less about them than about Anthropic.

My own experience is that coding, syntax, and some kinds of toy problem solving are important skills to use AI coding tools most effectively. I routinely get PRs these days whose descriptions seem plausible but are clearly wrong from a glance at the code, and I've had times when I'm unable to communicate to someone why a PR is wrong because they're not able to form a sufficiently detailed mental model of what it's doing.

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