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Kalysta ,

Adobe Acrobat has added AI to their program and I hate it so much. Every other time I try to load a PDF it crashes. Wish I could convince my boss to use a different PDF reader.

the_post_of_tom_joad ,

<—Not this cat. I become highly aroused when i hear salespeople gargling out their marketing bullshit

Yeah, baby, lie for me. Mmmm call a LLM “AI” again.

fuck that’s hot

thesohoriots ,

For the love of god, defund MBAs.

cheddar ,
@cheddar@programming.dev avatar

Unsurprisingly. I have use for LLMs and find them helpful, but even I don’t see why should we have the copilot button on new keyboards and mice, as well as on the LinkedIn’s post input form.

razorwiregoatlick ,
@razorwiregoatlick@lemmy.world avatar

There are certainly great uses for LLMs. 99% of the time it is useless though.

MyOpinion ,

AI is garbage.

Persen ,

AI is just an excuse to lay off your employees for an objectively less reliable computer program, which somehow statistically beats us in logic.

werefreeatlast ,

Also just listening and reading what people say. We don’t want fucking AI anything. We understand what it might do. We don’t want it.

cordlesslamp ,

To be honest, I lost all interest in the new AMD CPUs because they fucking named the thing “AI” (with zero real-world application).

I’m in the market for a new PC next month and I’m gonna get the 7800X3D for my VR gaming needs.

oyo ,

LLMs: using statistics to generate reasonable-sounding wrong answers from bad data.

JCreazy ,

There are even companies slapping AI labels onto old tech with timers to trick people into buying it.

1995ToyotaCorolla ,
@1995ToyotaCorolla@lemmy.world avatar

That one DankPods video of the “AI Rice cooker” comes to mind

JCreazy ,

Yeah that’s the one I saw

expatriado ,

I like my AI compartmentalized, I got a bookmark for chatGPT for when i want to ask a question, and then close it. I don’t need a different flavor of the same thing everywhere.

psmgx ,

Cuz everyone knows it’s BS, or mostly BS with extra data mining

Grandwolf319 ,

I mean, pretty obvious if they advertise the technology instead of the capabilities it could provide.

Still waiting for that first good use case for LLMs.

psivchaz ,

It is legitimately useful for getting started with using a new programming library or tool. Documentation is not always easy to understand or easy to search, so having an LLM generate a baseline (even if it’s got mistakes) or answer a few questions can save a lot of time.

Grandwolf319 ,

So I used to think that, but I gave it a try as I’m a software dev. I personally didn’t find it that useful, as in I wouldn’t pay for it.

Usually when I want to get started, I just look up a basic guide and just copy their entire example to get started. You could do that with chatGPT too but what if it gave you wrong answers?

I also asked it more specific questions about how to do X in tool Y. Something I couldn’t quickly google. Well it didn’t give me a correct answer. Mostly because that question was rather niche.

So my conclusion was that, it may help people that don’t know how to google or are learning a very well know tool/language with lots of good docs, but for those who already know how to use the industry tools, it basically was an expensive hint machine.

In all fairness, I’ll probably use it here and there, but I wouldn’t pay for it. Also, note my example was chatGPT specific. I’ve heard some companies might use it to make their docs more searchable which imo might be the first good use case (once it happens lol).

BassTurd ,

I just recently got copilot in vscode through work. I typed a comment that said, “create a new model in sqlalchemy named assets with the columns, a, b, c, d”. It couldn’t know the proper data types to use, but it output everything perfectly, including using my custom defined annotations, only it was the same annotation for every column that I then had to update. As a test, that was great, but copilot also picked up a SQL query I had written in a comment to reference as I was making my models, and it also generated that entire model for me as well.

It didn’t do anything that I didn’t know how to do, but it saved on some typing effort. I use it mostly for its auto complete functionality and letting it suggest comments for me.

Grandwolf319 ,

That’s awesome, and I would probably would find those tools useful.

Code generators have existed for a long time, but they are usually free. These tools actually costs a lot of money, cost way more to generate code this way than the traditional way.

So idk if it would be worth it once the venture capitalist money dries up.

Dran_Arcana ,

I’m actually working on a vector DB RAG system for my own documentation. Even in its rudimentary stages, it’s been very helpful for finding functions in my own code that I don’t remember exactly what project I implemented it in, but have a vague idea what it did.

E.g

Have I ever written a bash function that orders non-symver GitHub branches?

Yes! In your ‘webwork automation’ project, starting on line 234, you wrote a function that sorts Git branches based on WebWork’s versioning conventions.

beveradb ,

I’ve built a couple of useful products which leverage LLMs at one stage or another, but I don’t shout about it cos I don’t see LLMs as something particularly exciting or relevant to consumers, to me they’re just another tool in my toolbox which I consider the efficacy of when trying to solve a particular problem. I think they are a new tool which is genuinely valuable when dealing with natural language problems. For example in my most recent product, which includes the capability to automatically create karaoke music videos, the problem for a long time preventing me from bringing that product to market was transcription quality / ability to consistently get correct and complete lyrics for any song. Now, by using state of the art transcription (which returns 90% accurate results) plus using an open weight LLM with a fine tuned prompt to correct the mistakes in that transcription, I’ve finally been able to create a product which produces high quality results pretty consistently. Before LLMs that would’ve been much harder!

Draedron ,

Wrote my last application with chat gpt. Changed small stuff and got the job

explodicle ,

Please write a full page cover letter that no human will read.

Empricorn ,

Haven’t you been watching the Olympics and seen Google’s ad for Gemini?

Premise: your daughter wants to write a letter to an athlete she admires. Instead of helping her as a parent, Gemini can magic-up a draft for her!

Cryophilia ,

Writing bad code that will hold together long enough for you to make your next career hop.

NABDad ,

I think the LLM could be decent at the task of being a fairly dumb personal assistant. An LLM interface to a robot that could go get the mail or get you a cup of coffee would be nice in an “unnecessary luxury” sort of way. Of course, that would eliminate the “unpaid intern to add experience to a resume” jobs. I’m not sure if that’s good or bad,l. I’m also not sure why anyone would want it, since unpaid interns are cheaper and probably more satisfying to abuse.

I can imagine an LLM being useful to simulate social interaction for people who would otherwise be completely alone. For example: elderly, childless people who have already had all their friends die or assholes that no human can stand being around.

TrickDacy ,

I don’t see any mention of any details about the study participants but I wouldn’t expect the general public to have this attitude.

jubilationtcornpone ,

I think there is potential for using AI as a knowledge base. If it saves me hours of having to scour the internet for answers on how to do certain things, I could see a lot of value in that.

The problem is that generative AI can’t determine fact from fiction, even though it has enough information to do so. For instance, I’ll ask Chat GPT how to do something and it will very confidently spit out a wrong answer 9/10 times. If I tell it that that approach didn’t work, it will respond with “Sorry about that. You can’t do [x] with [y] because [z] reasons.” The reasons are often correct but ChatGPT isn’t “intelligent” enough to ascertain that an approach will fail based on data that it already has before suggesting it.

It will then proceed to suggest a variation of the same failed approach several more times. Every once in a while it will eventually pivot towards a workable suggestion.

So basically, this generation of AI is just Cliff Clavin from Cheers. Able to to sting together coherent sentences of mostly bullshit.

esc27 ,

They’ve overhyped the hell out of it and slapped those letters on everything including a lot of half baked ideas. Of course people are tired of it and beginning to associate ai with bad marketing.

This whole situation really does feel dotcommish. I suspect we will soon see an ai crash, then a decade or so later it will be ubiquitous but far less hyped.

Vent ,

Thing is, it already was ubiquitous before the AI “boom”. That’s why everything got an AI label added so quickly, because everything was already using machine learning! LLMs are new, but they’re just one form of AI and tbh they don’t do 90% of the stuff they’re marketed as and most things would be better off without them.

rottingleaf ,

What did they even expect, calling something “AI” when it’s no more “AI” than a Perl script determining whether a picture contains more red color than green or vice versa.

Anything making some kind of determination via technical means, including MCs and control systems, has been called AI.

When people start using the abbreviation as if it were “the” AI, naturally first there’ll be a hype of clueless people, and then everybody will understand that this is no different from what was before. Just lots of data and computing power to make a show.

baggachipz ,

Gartner Hype Cycle is the new Moore’s Law.

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