LLMs can’t reason — they just crib reasoning-like steps from their training data
LLMs can’t reason — they just crib reasoning-like steps from their training data
Researchers at Apple have come out with a new paper showing that large language models can’t reason — they’re just pattern-matching machines. [arXiv, PDF] This shouldn’t be news to anyone here. We …
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We suspect this research is likely part of why Apple pulled out of the recent OpenAI funding round at the last minute.
Perhaps the AI bros “think” by guessing the next word and hoping it’s convincing. They certainly argue like it.
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This has been said multiple times but I don't think it's possible to internalize.
The VC/MBA class thinks all communication can be distilled into saying the precise string of words that triggers the stochastically desired response in the consumer. Conveying ideas or information is not the point. This is why ChatGPT seems like the holy grail to them, it effortlessly* generates mountains of corporate slop that carry no actual meaning. It's all form and no substance, because those people -- their entire existence, the essence of their cursed dark souls -- has no substance.
- batteries not included
The only difference between the average VC and the average Sovereign Citizen is income.
I think you're right. But they're wrong. And only the chowderheads who don't interact with customers or service personnel would believe that crap. Now, that's not to say they can't raise a generation that does believe that crap.
Hence the bleakness.
I am so cynical at this point I am fully bought into the idea that these chowderheads don't even interact with reality, just with the PowerPoint and Jira-driven shadows on the wall.
Perhaps the AI bros “think” by guessing the next word and hoping it’s convincing
Perhaps? Isn't that the definition of LLMs?
Edit: oh, i just realized it's not talking about the LLMs, but about their apologists