As a response to your prompt, the LLM gives you the words that are statistically most likely in the order that is statistically most likely, given its training texts. That's all it does. It's artificial but not intelligent.
You're reading a mind into the LLM output just the same way as you think about your robot vacuum cleaner as a house pet.
#llm#ai#aibubble
Here's a thought experiment.
Imagine a stamp mark with the words "Made with #AI" on it.
If you see this mark on a picture, illustration, mobile app, song, movie, or story - do you get the notion that this product is of higher, lower or unchanged quality?
If you see two identical products for the same price, where one has an AI mark and the other doesn't - which one would you buy?
(Please retoot this #LLM#poll for wider reach)
Here's a thought experiment.
Imagine a stamp mark with the words "Made with #AI" on it.
If you see this mark on a picture, illustration, mobile app, song, movie, or story - do you get the notion that this product is of higher, lower or unchanged quality?
If you see two identical products for the
It's not just the fediverse, the tide against widespread LLM... #ai #llm #trade #show #fair #industry #flyer #consultant #representative
It's not just the fediverse, the tide against widespread LLM use is turning in real life
To be fair, yes, I'm just another person on the fediverse for all of you, but for me, this is the reality I live in.
I've always wondered about all the AI hate around here, and if this is just a fediverse thing, but realized recently that it's not. In fact, people are generally getting tired of constant LLM and genAI use. I've already noticed people getting turned off by AI flyers more and more, sentences like "oh, they switched to an AI flyer", in a voice of disappointment. And recently, I was at a trade show, talking to one of the reps at a booth, and it was really interesting to hear what he had to say on the topic. Apparently, two years ago, he constantly got questions about AI, wanting to hear that the products contain AI. This year, people also ask him fairly often if his products have AI, hoping to hear that they don't have AI. And he was able to clearly say, there is no AI in his products (at least not the LLM kind, only the classic, non-neural network kind).
Talked to someone who has been dabbling in translating fiction. This guy was horrified when I told him that if he uses machine translation for more than dictionary checks of individual words, he can't put his name on the translation and the work is ineligible under most standard publishing contracts.
"OMG, but then it would take FOREVER to translate a novel!?!?"
Yes. You're right. That's why translators get paid.
#translation#llm#books
I'm starting to see signs other people are slowly coming the realization that AI companies have more enshittification cards in their hand.
I attended an Anthropic training hosted by Anthropic employees. During the presentation, on almost every slide, the trainer reiterated "If you're experiencing issues with the quality or correctness of the output, you can solve that by giving Claude more access to your internal documentation and intellectual property." Almost every answer to every question included "and make sure you give Claude full access to your files and identity so it see everything you see and act as you." As a nearly 30yr veteran of infosec, I assumed this was an advanced adversary attempting to exploit us. 😂
The AI companies _WILL_ eventually operate solely by extracting value from all their customers and business relationships for their shareholders. We already know what this looks like. Anyone bought an Amazon Basics product? Amazon tracks products that do well, they then rip off the design of those products and launch a cheaper version under the Amazon Basics brand.
"But, Brad, AI companies are more ethical than.. no wait, I heard it." Right, so, let's say you're Cursor. You announce a profit for the first time in your history. What happens next? OpenAI raises your rates to nullify your entire profit. This happened, in real life.
You're a math researcher working on a research problem with a prize using OpenAI for assistance. What happens next? OpenAI rips off all your work and uses it to train an expert model to solve the problem and win the prize. This happened.
Wake up, sheeple! 😂 If you have a good idea and use _any_ thirdparty AI service to create it, you are handing your work over to the AI companies and your competitors.
Legal precedent is AI generated code is not IP because a human didn't create it. But every line of code Claude or Codex generates for your proprietary application is stored on their servers for as long as they afford to save it.
As these companies pivot to IPO and beyond, just take a moment to consider the history of Silicon Valley and what their next steps are for further monetizing the data they're collecting on you.
#fuck_ai#llm#privacy#security#copyright
here's a take i don't think i heard yet:
the better LLMs are, the *more* they're dangerous. not because they can "go rogue", nothing like that. rather the better LLMs are, the likelier people are to trust them.
you'll never use an LLM that's wrong half of the time as a search engine, but one that's only wrong 10% of the time might be good enough.
you'll never use an LLM that's wrong 10% of the time to automate your job, but one that's only wrong 1% of the time might be good enough.
you'll never hook an LLM that's wrong 1% of the time to a nuclear weapon. but one that's only wrong 1‰ of the time might be good enough.
stochastic parrots don't get less dangerous the more their output aligns with reality. the opposite is true: since the biggest danger a stochastic parrot poses is a human trusting one to make decisions, a dangerous LLM's the one that's more convincing and less likely to be caught during testing.
in classical AI safety research there's a lot of talk about a smart AI Volkswagening during testing to make itself seem safe, with all sorts of calculations for the odds such an AI will show its true form in any given attempt and yada yada. but what that classic research didn't seem to take into account is that an "artificial intelligence" doesn't need to actually be intelligent to replicate the same behaviour. a machine that sometimes appears safe and intelligent and sometimes doesn't can mislead you just as well, without having an evil plan or even the capability to come up with one. and just like a machine that's evil needs to appear good just often enough to convince you it isn't, a machine that lacks intelligence needs to be right just often enough to convince you it doesn't.
#LLM#LLMs#AI#genAI#FuckAI#AIWWIII#OpenAI#Anthropic#AISafety#StochasticParrot
