The fact that we're willing to rely on LLMs to generate code knowing that it only mostly works because that code has been generated before thousands of times is not an indication that stochastic models are good, it's a massive, punishing indictment of computing as a field.

Using an insanely huge expensive model to quasi-reproduce work that's been created thousands of times already isn't productive or efficient. It's a symptom of profound failures of language, practice, process and imagination.

The one bright spot of LLMs is that we've learned exactly how morally and creatively bankrupt this industry is, and how fast people are willing to throw away everything they said they cared about for decades - craft, understanding, efficiency, detail, all of it - just to cosplay competence and bandwagon their way to groupthink targets they don't even realize were made up to manipulate them.

Christ it's embarassing.

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Because the only thing I bring into this world that I don't care about looking at or thinking about or doing better is shit. My own literal, physical feces. I've even had to care about other people's shit, I've changed diapers, picked up after dogs and shovelled fertilizer.

You're don't even look at your code now? You're proud of it, because productivity, velocity?

When was the last time you talked about your happiness or self-worth without using the word "productive"?

Answer the question.

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@mhoye Productivity claims have always been mostly false in software development, because the vast majority of software projects don't pursue metrics or use valid metrics. Popularity has mattered more in programming language and process selections.

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