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Comment by acedTrex | Hacker News Reader

I actually quite agree with this, there is some reckoning on both sides happening. It's quite entertaining to watch, a bit painful as well of course as someone who is on the "they are useless" side and is noticing some very clear usecases where a value add is present.

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I'm with you. I give several of 'em a shot a few times a week (thanks Kagi for the fantastic menu of choices!). Over the last quarter or so I've found that the bullshit:useful ratio is creeping to the useful side. They still answer like a high school junior writing a 5 paragraph essay but a decade of sifting through blogspam has honed my own ability to cut through that.

> but a decade of sifting through blogspam has honed my own ability to cut through that.

Now, a different skill need to be honed :) Add "Be concise and succinct without removing any details" to your system prompt and hopefully it can output its text slightly better.

In general, the functional use-case traditionally covered by basic heuristics is viable for a reasoning LLM. These are useful for search. media processing, and language translation.

LLM is not AI, and never was... and while the definition has been twisted in marketing BS it does not mean either argument is 100% correct or in err.

LLM is now simply a cult, and a rather old one dating back to the 1960s Lisp machines.

Have a great day =3

LLMs aren’t perfect, but calling them a “cult” misses the point. They’re not just fancy heuristics, they’re general-purpose function approximators that can reason, plan, and adapt across a huge range of tasks with zero task-specific code.

Sure, it’s not AGI. But dismissing the progress as just marketing ignores the fact that we’re already seeing them handle complex workflows, multi-step reasoning, and real-time interaction better than any previous system.

This is more than just Lisp nostalgia. Something real is happening.

Sure, I have seen the detrimental impact on some teams, and it does not play out as Marketers suggest.

The trick is in people seeing meaning in well structured nonsense, and not understanding high dimension vector spaces simply abstracting associative false equivalency with an inescapable base error rate.

I wager Neuromorphic computing is likely more viable than LLM cults. The LLM subject is incredibly boring once your tear it apart, and less interesting than watching Opuntia cactus grow. Have a wonderful day =3

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