this post was submitted on 12 Jun 2024
177 points (91.2% liked)

Technology

34877 readers
49 users here now

This is the official technology community of Lemmy.ml for all news related to creation and use of technology, and to facilitate civil, meaningful discussion around it.


Ask in DM before posting product reviews or ads. All such posts otherwise are subject to removal.


Rules:

1: All Lemmy rules apply

2: Do not post low effort posts

3: NEVER post naziped*gore stuff

4: Always post article URLs or their archived version URLs as sources, NOT screenshots. Help the blind users.

5: personal rants of Big Tech CEOs like Elon Musk are unwelcome (does not include posts about their companies affecting wide range of people)

6: no advertisement posts unless verified as legitimate and non-exploitative/non-consumerist

7: crypto related posts, unless essential, are disallowed

founded 5 years ago
MODERATORS
 

It's time to call a spade a spade. ChatGPT isn't just hallucinating. It's a bullshit machine.

From TFA (thanks @mxtiffanyleigh for sharing):

"Bullshit is 'any utterance produced where a speaker has indifference towards the truth of the utterance'. That explanation, in turn, is divided into two "species": hard bullshit, which occurs when there is an agenda to mislead, or soft bullshit, which is uttered without agenda.

"ChatGPT is at minimum a soft bullshitter or a bullshit machine, because if it is not an agent then it can neither hold any attitudes towards truth nor towards deceiving hearers about its (or, perhaps more properly, its users') agenda."

https://futurism.com/the-byte/researchers-ai-chatgpt-hallucinations-terminology

@technology #technology #chatGPT #LLM #LargeLanguageModels

you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 0 points 5 months ago* (last edited 5 months ago)

What a load of BS hahahaha. LLMs are not conversation engines (wtf is that lol, more PR bullshit hahahaha). LLMs are just statistical autocomplete machine. Literally, they just predict the next token based on previous tokens and their training data. Stop trying to make them more than they are.

You can make them autocomplete a conversation and use them as chatbots, but they are not designed to be conversation engines hahahaha. You literally have to provide everything in the conversation, including the LLM previous outputs to the LLM, to get them to autocomplete a coherent conversation. And it's just coherent if you only care about shape. When you care about content they are pathetically wrong all the time. It's just a hack to create smoke and mirrors, and it only works because humans are great at anthropomorphizing machines, and objects, and ...

Then you go to compare chatgpt to literally the worst search feature in google. Like, have you ever met someone using the I'm feeling lucky button in Google in the last 10 years? Don't get me wrong, fuck google and their abysmal search quality. But chatgpt is not even close to be comparable to that, which is pathetic.

And then you handwave the real issue with these stupid models when it comes to search results. Like getting 10 or so equally convincing, equally good looking, equally full of bullshit answers from an LLM is equivalent to getting 10 links in a search engine hahahaha. Come on man, the way I filter the search engine results is by reputation of the linked sites, by looking at the content surrounding the "matched" text that google/bing/whatever shows, etc. None of that is available in an LLM output. You would just get 10 equally plausible answers, good luck telling them apart.

I'm stopping here, but jesus christ. What a bunch of BS you are saying.