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this post was submitted on 04 Sep 2024
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TechTakes
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Big brain tech dude got yet another clueless take over at HackerNews etc? Here's the place to vent. Orange site, VC foolishness, all welcome.
This is not debate club. Unless it’s amusing debate.
For actually-good tech, you want our NotAwfulTech community
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ChatGPT gives you a bad summary full of hallucinations and, as a result, you choose not to read the text based on that summary.
But the claims of the text are often why you read it in the first place! If you have a hundred scientific papers you're going to read the ones that make claims either supporting or contradicting your research.
You might as well just skim the titles and guess.
not reading the fucking sidebar and thinking this is high school debate club fallacy
holy shit, imagine getting a second chance to not be a fucking debatelord and doubling down this hard
off you fuck
phallusy fallacy: posting like a cock
People just out here acting like a fundamentally, inextricably unreliable and unethical technology has a "use case"
smdh
fucking right! there’s this unearned assumption that just because the tech’s been invented, it must have worth. and, like, no? there’s so many dead ends in science and technology, and notoriously throwing money at something doesn’t change its fundamental nature
and now I’m pissed and trying to decide if it’s even worth explicitly adding “don’t be a debatelord asshole” to the TechTakes sidebar, cause it’s not like they’re gonna stop
"We're not saying it doesn't have its flaws, but you need to appreciate the potential of the radium cockring!"
to wildly abword a phrase I've seen elsewhere: "idiocy can remain solvent longer than you can"
I agree, you're quite right, and I thank you for taking the time and putting in the effort on such a wonderfully thorough portrayal of why your argument is total horseshit
Unless it doesn't accurately represent the topic, which happens, and then a researcher chooses not to read the text based on the chatbot's summary.
All these chatbots do is guess. I'm just saying a researcher might as well cut out the hallucinating middleman.
Both the use cases here are goverment documents. I'm baffled at the idea of it being "fine if the AI makes shit up".
if it gets half of it wrong then probably at least 10% is right, which is much more than the 0% not reading it at all would get.
And if it's badly written then the LLM will shit itself.
Now let's ask ourselves how much of the text in the world is "well-written"?
Or even better, you could apply this to Copilot. How much code in the world is good code? The answer is fucking none, mate.
@lvxferre @dgerard have you bumped your head?
You'd think so, but guess what precise use case LLMs are being pushed hard for.