this post was submitted on 05 Oct 2024
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Every word in every language changes over time. The term AI changing is the absolute normal. It's not some mark against it.
Current llms are phenomenally beneficial for some things. Millions of developers have had their entire careers completely changed. Teachers are able to grade work in 10% of the time. Children through to college students and anyone interested in learning have infinitely patient tutors on demand 24 hours a day. The fact that you are completely clueless about what is going on doesn't by any stretch of the imagination mean it isn't happening. It just means that you not only feel like you are "beyond learning", it also means that you don't even have people in your life that are still interested in personal growth, or you are too shallow to have conversations with anyone who is.
This is just beginning. The more you cling to being in denial of progress, the further you will get behind. You are denying any mode of transportation other than horses even exists, while people are routinely flying around the world. It most likely won't be too long until your mindset is widely accepted as a mental disorder.
Lumping machine learning algorithms, llms, regressive learning, search algorithms all in one bucket and calling it "AI" serves no proper purpose. There is no consensus, it's not a clear definition, it's not convenient and it only helps sell bullshit. Llms aren't intelligent. Calling them that is the opposite of useful.
Namely: the portfolio of tech shareholders and grifters.
Lol, no. What's your source for this?
Poor students.
Have you heard of the stories where students believed some AI bullshit more than what their teacher told them? Great "tutor" you have there.
Sure, bud. /s
Oh, please tell me more about my life, stranger on the internet! /s
What an asshole, seriously.
Have fun in your tech cult, you ableist bootlicker.
There is a reason why you point to examples from years ago, that's because that is where you are still stuck.
Students "correcting" their teachers on AI bullshit isn't "from years ago".
Old examples of AI I counted used to be the bleeding edge of AI research. Now they're an old hat. The same thing will happen to LLMs. And LLMs won't lead to so-called "AGI", just like the other examples didn't.