alt Hacker News> At this point it seems pretty clear that LLMs are having a major impact on how software is built, but for almost every other industry the practical effects are mostly incremental.
Even just a year ago, most people thought the practical effects in software engineering were incremental too. It took another generation of models and tooling to get to the point where it could start having a large impact.
What makes you think the same will not happen in other knowledge-based fields after another iteration or two?
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Software is more amenable to LLMs because there is a rich source of highly relevant training data that corresponds directly to the building blocks of software, and the "correctness" of software is quasi-self-verifiable. This isn't true for pretty much anything else.
> most people thought the practical effects in software engineering were incremental too
Hum... Are you saying it's having clear positive (never mind "transformative") impact somewhere? Can you point any place we can see observable clear positive impact?