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Re:LLMs aren't remotely like compilers or power tools by suprjami on Monday July 20, 2026 @07:30AM (#48977304)
You had me up until you equated LLM usage to unreliable human delegation.

No human being is going to genuinely suggest to glue cheese onto a pizza to stop it sliding off.

These things aren't people. Stop anthropomorphizing a computer program. They'll make all the mistakes humans can make, as well as a new class of mistakes because they're just fancy next word prediction with no lived experience.

Re:LLMs aren't remotely like compilers or power tools by rjrje on Monday July 20, 2026 @08:15AM (#48977734)
Indeed.

Just to add - I’m working on something very novel and LLM’s are absolutely useless at them. It’s actually comical to see the outputs - when you work on novel stuff you quickly see what these models actually are.

Re:LLMs aren't remotely like compilers or power tools by inigyou on Monday July 20, 2026 @09:13AM (#48978423)
Apparently if you show one the recently found counterexample to the Jacobian conjecture, it spins in circles double-checking it because it knows the conjecture is true.
Re:LLMs aren't remotely like compilers or power tools by throw310822 on Monday July 20, 2026 @10:08AM (#48979098)
And finally gives up admitting it is a counterexample. Even saying "holy shit". That's what any human expert would do: presented with an extremely improbable fact, it would verify it, then in disbelief verify it again, then change method, then try yet another one, checking its understanding of the problem itself... and finally concede. Because this is what intelligence looks like- understanding the problem, its relevance, its context, self-doubting if the solution looks too simple to be true, double-checking all calculations and trying different approaches, etc.
Re:LLMs aren't remotely like compilers or power tools by inigyou on Monday July 20, 2026 @10:59AM (#48979804)
I think Haiku still does this with the seahorse emoji. Doesn't feel like it's finding contradictory evidence, though, just feels like it's trying both options in case one works.
Re:LLMs aren't remotely like compilers or power tools by svieira on Monday July 20, 2026 @10:38AM (#48979513)
Precisely - except you can get it to do the same thing about the flat earth or faked moon landings or the unity of all being as will or just about anything else.
Re:LLMs aren't remotely like compilers or power tools by throw310822 on Monday July 20, 2026 @09:13AM (#48978412)
> No human being is going to genuinely suggest to glue cheese onto a pizza to stop it sliding off.

That mistake was made more than two years ago by whatever experimental version of Google's AI overview (which has strict performance requirement- i.e. needs to answer within a split-second) was up at the time. In other words, it was a very small and primitive system specialised in spitting answers as quickly as possible without a second thought. I hope you realise that basing your assessment of what LLMs can or can't do on that example is not much better than suggesting to put glue on pizza. A mistake that, if we were to adopt your reasoning, would in turn set a hard limit to the analytic skills of all humanity.

Re:LLMs aren't remotely like compilers or power tools by bluefirebrand on Monday July 20, 2026 @10:40AM (#48979538)
It's a clear illustration that these systems are not oracles. No matter how much they've improved since then, we should assume they are still capable of making hilariously big mistakes. Only now the obvious mistakes are fixed and the big mistakes will be a lot more subtle and a lot harder to catch.
Re:LLMs aren't remotely like compilers or power tools by throw310822 on Monday July 20, 2026 @11:02AM (#48979852)
> It's a clear illustration that these systems are not oracles.

Of course they are not oracles. Oracles belong to magic, these things are real.

I really can't understand how people seem to expect "intelligence" to be deterministic and infallible and uniform across domains when all examples we have of it (that is, us) are anything but.

Re:LLMs aren't remotely like compilers or power tools by jurgenburgen on Monday July 20, 2026 @11:18AM (#48980095)
> I really can't understand how people seem to expect "intelligence" to be deterministic and infallible and uniform across domains when all examples we have of it (that is, us) are anything but.

I’m sure there are people who think putting glue on a pizza is acceptable but we’re not hiring them to bake pizzas for us.

When I search and get an AI summary it’s either correct or useless. I don’t care how fallible humans are, I’m not asking them to summarize my Google results.

Re:LLMs aren't remotely like compilers or power tools by throw310822 on Monday July 20, 2026 @11:49AM (#48980553)
So you never go to a doctor because (being human and therefore fallible) they might give you wrong information?
Re:LLMs aren't remotely like compilers or power tools by bluefirebrand on Monday July 20, 2026 @11:43AM (#48980465)
> I really can't understand how people seem to expect "intelligence" to be deterministic and infallible

We don't really expect this of intelligence

We do sort of expect this of machines

Most people in society use machines and computers expecting very deterministic behavior, within some constraints. A saw cuts wood as long as your blade isn't dull. A computer shows your emails as long as the power and Internet is not out.

Comparably Unconstrained computer AI systems are still extremely new and there is no social norms or expectations around it yet

Re:LLMs aren't remotely like compilers or power tools by jaredcwhite on Monday July 20, 2026 @11:06AM (#48979917)
Nice try with the gaslighting. Google's AI "summaries" get things wrong all the time even now.
Re:LLMs aren't remotely like compilers or power tools by blainehansen on Tuesday July 21, 2026 @02:35PM (#48996268)
Hey, original author here.

> But fundamentally any metaphor will be inadequate, LLMs are too weird. It doesn't make sense to compare a transformer-based deep neural network that autoregressively generates language tokens based on their embedding in a high-dimensional semantic space to really anything that's ever existed.

You might not have read the full post ha