this post was submitted on 27 Jun 2023
146 points (100.0% liked)
Chat
7508 readers
22 users here now
Relaxed section for discussion and debate that doesn't fit anywhere else. Whether it's advice, how your week is going, a link that's at the back of your mind, or something like that, it can likely go here.
Subcommunities on Beehaw:
This community's icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Large Language Models and other affiliated algorithms are not AI and no amount of marketing will convince me otherwise. As a result I refuse to call them AI when talking to people about them.
Will you differentiate your understanding of what AI is from LLMs?
Something with a mind. The term floating around now is "general artificial intelligence." My primary objection is that a giant pile of poorly understood machine learning trained on garbage scraped from social media bears no resemblance to a thinking mind and calling it "AI" makes the term practically useless. Where do we draw the line between a complex algo and mind?
They are AI though. They're just not Artificial General Intelligence.
My definition of AI is coming from books and media, unless it exhibits actual intelligence it is not an AI. Building a sensible sentence from large amounts of data while not understanding what it is actually saying or whether it's actually correct or consistent does not make an intelligence.
But it does understand it since it's able to answer arbitrary questions, no?
Nope, it's only matching the prompt with the most likely answer from its training set. Do you remember in the early days when it would be asked slightly tweaked riddles and it would get them incorrectly, it'd just spew out something that sounded like the original answer but was completely wrong in the current context? Or how it just made up nonexistent court cases for that one lawyer that tried to use it without actually checking if it's correct?
LLMs are just guessing the answer based on millions of similar answers they have been trained with. It's a language syntax generator, it has no clue what it is actually saying. They are extremely advanced and getting better at hiding their flaws but at their core, they are not actual intelligence.
I know this, I've worked on LLMs and other neural networks so I was wondering what kind of difference you could make out. Humans do the same thing, they just have more neurons and use more sophisticated training modes and activation mechanisms as well as propagation patterns.
So what I'm saying is that you can't tie intelligence to the fundamental mechanism because it's the same, only humans are more developed. And maturity on the other hand is a highly subjective and arbitrary criterion—when is the system mature enough to be considered intelligent?
Thanks, been arguing this for ages.
I recently saw another lemming call LLMs “spicy autocomplete” instead of AI which seemed appropriate given that calling it AI, while technically correct, I think leads some people to think that the LLM is intelligent. I plan to use that terminology.