I’m sure you must’ve heard about the disastrous effects on the environment and the electrical grid by now, as well as the crisis in computer parts (GPUs, RAM, SSDs and now also HDDs) caused by AI data centres. Besides this, AI output is polluting the internet. This can be used to very quickly spin up a lot of sites to support a narrative, or to fill a site with “content” that increases SEO to get advertiser money. This makes looking anything up these days almost impossible. This is especially a problem because AI is unreliable. AI works purely off of statistics and doesn’t have any conception of truth or falsehood, so it generates what is in philosophical terms called “bullshit” (real term!). Output can be true accidentally, but you are never getting “the truth”. This property has already been exploited by companies by generating data optimised for LLM consumption in order to advertise their products. Many chatbots are also built in a way that is very dangerous. They are optimised to keep you using them, which is often done by making them agree with pretty much everything you say. This has been shown multiple times to cause psychotic breakdowns in all kinds of people, even if they started out using it to, for example, write code. However, the group most at risk of this are the people using the bots as an alternative to a therapist. unfortunately, AI companies encourage this usage through initiatives like gpt health. It also turns out that AI dependence can harm your ability to learn certain things. This makes sense intuitively, a coder who relies on a chatbot to write parts of the code or to debug is less likely to develop those skills themselves. This is especially a problem with increased usage in schools. Yet more ethical problems arise with the image generation modes of AI, which, unfortunately(but unsurprisingly) turn out to be trained on like… A LOT of child porn. This has been one of the controversies with grok recently. Unfortunately, there is no real way to stop someone from asking for anything in the training data. Best you can do is either try to give negative incentive to the model or to hardecode in a bunch of phrases to automatically reject. This is a fundamental problem with the architecture. Generation of revenge porn, child porn and misinformation has run rampant. AI is also a privacy and security nightmare. Due to the fundamental architecture of AI models there is no way to distinguish between code and instructions. This means that “agents” can be injected with instructions to, for example, leak confidential data. This is a big problem with parties like hospitals attempting to integrate AI into their workflow. This is in addition to pretty much all models being run “in the cloud” due to the high costs associated with running a model. Speaking of costs, all of these models currently operate at a gigantic loss. They are currently essentially circulating an IOU between themselves and a few hardware companies(nvidia), but that cannot last forever. If any of these companies survive, they will be way more expensive to use than now. Many of the current companies are also pretty evil, being explicitly associated by figures like Peter Thiel, whose stated goal in life has been to end democracy. There are also some arguments surrounding copyright. While I do not want to strengthen copyright law and so will be careful around my comments on this topic, it is certainly true that ai often outputs essentially exactly someone elses work without crediting them.
This is all I could think of off the top of my head, but there surely is more. hope this helps!
Brainsploosh@lemmy.world 11 hours ago
It doesn’t reason, and it doesn’t actually know any information.
What it excels at is giving plausible sounding averages of texts, and if you think about how little the average person knows you should be abhorred.
Also, where people typically can reason enough to make the answer internally consistent or even relevant within a domain, LLMs offer a polished version of the disjointed amalgamation of all the platitudes or otherwise commonly repeated phrases in the training data.
Basically, you can’t trust the information to be right, insightful or even unpoisoned, while sabotaging your strategies and systems to sift information from noise.
undeffeined@lemmy.ml 8 hours ago
The less you know how LLMs work, the more impressed you are by them. The clever use of the term AI seems like the culprit to me since it will most likely evoke subconscious associations with the AI we have seen portraid in entertainment.
LLMs can be useful tools, when applied in restricted contexts and in the hands of specialists. This attempt to make it permeate every aspect of our lives is, in my honest opinion, insane
TerdFerguson@lemmy.world 8 hours ago
Average person… on the Internet