> (Not sure why the downvotes.)

Appreciated! But if we fret about a few downvotes, we're using the forum wrong. Some unpopular views need to be discussed - either because they hold some valuable truth that people are ignorant of, or because discussing them can shine a light on why the unpopular views are misguided. I suspect the downvotes are related to "Very few people are working on technologically hard or novel things" -- many HN users have been surrounded since elementary school by tons of people who do currently work on hard or novel problems, so they understandably think that >5-10% of people do that, when in fact it's closer to maybe 1-in-200. I've been part of social groups who went to high schools with absurd numbers of Rhodes' Scholars and peer groups where everyone in the group can trivially get through medical schools with top marks, receive faculty positions as professors at top-3 universities, found incredible startups through insane technical competence, and still all think they're stupid because they compare themselves to the true 1-in-a-million geniuses they grew up with who are doing research so advanced that it's far beyond their most remote chances of ever having even surface-level comprehension of that research. Their extended social group likely comprises >1% of all Americans working on "hard or novel problems", but since 75% of them are doing it, they have no idea that the real base rate is closer to 1-in-200, generously. They grossly underestimate their relative intelligence vs. the median and grossly overestimate the ability of average people (and explain away differences in outcome to personality issues like "laziness").

There are a surprising number of people from these peer groups on HN. These are the people who will never be threatened by LLM's -- they are capable of adapting to use any new tools and transcending any future paradigm, save war/disease/famine.

> To expand on my original comment: All that being said, I think the hype/media cycle overestimates the magnitude of the potential positive LLM effect. You’ll see numbers like 5x, 10x, 100x increase in productivity thrown around. If I have to bet, I would say the likely increase is going to be in the 1x-1.5x range but not much greater. Most things in the world are not infinitely exponential, even if they initially seem to be.

Yours is a very reasonable take that I wouldn't argue against. I also think it's reasonable that some people think it will be 5x-100x -- for the work some individuals are familiar with it very well might be already, or they might be more bullish on future advances in reinforcement learning / goal-seeking / "search" (iterative re-search to yield deep solutions).

> Even though I do think that almost any profession can potentially find use for LLMs in some shape or form.

I reactively feel this is stretching it for people who travel around just to load/unload boxes of equipment at events/concerts/etc. But the way you worded this is definitely not wrong - even manual laborers may find LLM's useful for determining whether they, their peers, and their bosses are following proper safety/health/HR regulations. More obviously, Sex workers will absolutely be using LLM's to screen potential customers for best mutual-fit and maintain engagement (as with lawyers who own small practices, a large number of non-billable hours goes towards client acquisition, as well as retention). LLM's are not "there" yet for transparent personalized client engagement which maintains the personality of the provider, but likely will be soon with some clever UX and RAG.