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submitted 22 hours ago* (last edited 22 hours ago) by Amine_Jouahri@lemmy.world to c/world@lemmy.world
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[-] FartMaster69@lemmy.dbzer0.com 7 points 21 hours ago
[-] NoneOfUrBusiness@fedia.io 1 points 19 hours ago
[-] bearforcepilot@lemmy.zip 3 points 17 hours ago

I think there's an issue with lumping them all together here. There is a functional difference between a machine that does your homework and is designed to endlessly praise you, and a model specifically designed to identify viruses or medications.

[-] NoneOfUrBusiness@fedia.io 0 points 16 hours ago

In this case it's basically the same technology (LLMs); you don't get one without the other.

[-] bearforcepilot@lemmy.zip 2 points 15 hours ago

Sure you do. We don't have to have every permutation of every technology.

[-] NoneOfUrBusiness@fedia.io 2 points 14 hours ago

That's like saying you can have space exploration without ballistic missiles. Once the technology is there power and/or the market will do whatever it wants with it.

[-] bumblebeer@lemmy.world 4 points 8 hours ago

Except even moreso with language models. Here it is not just a similar technology, but the exact same vehicle.

Translation: The way scaling laws and gradient descent work for language models means that there is NO functional difference between a machine that does your homework and is designed to endlessly praise you, and a model specifically designed to identify viruses or medications.

[-] UnderpantsWeevil@lemmy.world 0 points 21 hours ago

Well, for starters, if you want to translate a written work to another language, it has never been easier.

LLMs are excellent tools for modeling large languages.

[-] snooggums@piefed.world 6 points 21 hours ago* (last edited 21 hours ago)

That is all they are good for. They are ok for translation, although even then they miss a lot of nuance like someone who can speak a language but isn't fluent.

Well, there are a lot of malicious uses, but passable translation is the one positive use case.

[-] ThanksObama@sh.itjust.works 3 points 21 hours ago

They could replace the CEOs. Huge cost savings for stock owners.

[-] FartMaster69@lemmy.dbzer0.com 5 points 18 hours ago

I mean, a drunk chicken could replace a CEO.

[-] datavoid@sh.itjust.works 3 points 15 hours ago

A sociopathic drunk chicken, maybe

[-] UnderpantsWeevil@lemmy.world -3 points 19 hours ago

That is all they are good for.

Wife is a lawyer. She needs to do complex keyword searches on massive volumes of legal documentation. She absolutely loves how quickly and easily Copilot parses and tabulates info based on her queries.

Total game changer for the kind of work she's doing.

I work in IT. Love to cobble together scripts in languages I'm otherwise unfamiliar using Claude. It's also excellent at diagnosing system errors and providing effective remediation.

[-] snooggums@piefed.world 5 points 18 hours ago

There are better AI options that could be developed for that over a massive all in one inefficient LLM like Copilot. If the same amount of money was thrown at dedicated development AI and searches it would require far less energy, pollution, hardware, and could be run locally in many cases with the same or better results.

[-] UnderpantsWeevil@lemmy.world -1 points 18 hours ago

There are better AI options

You can take that up with management. I don't get to pick what AI agent my boss decided to pay for.

[-] bumblebeer@lemmy.world -1 points 18 hours ago

You have, and let me be clear on this, absolutely no idea what you are talking about.

[-] charokol@lemmy.zip -1 points 21 hours ago
[-] snooggums@piefed.world 5 points 21 hours ago

I was replying to a post about LLMs and the article is about LLMs so while it is true that AI predates LLMs and the label isn't literally limited to only LLMs and genAI those two things have taken over the label and are what nearly everyone means when they say AI.

They aren't talking about the AI used to find exoplanets, or the AI used with lidar to find structures in jungles, or to do actual medical science, or all of the other types that are useful tools. The article is about LLMs implemented by the big companies that are designed to steal and manipulate data in ways that are detrimental to society.

this post was submitted on 03 Nov 2026
441 points (97.4% liked)

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