this post was submitted on 28 Feb 2025
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They are very impressive to where we were 20 years ago, hell even 5 years ago. The first time I played with ChatGPT I was absolutely floored. But after playing with a lot of them, even training a few RAGs (Retrieval-Augmented Generation), we aren’t really that close and in my opinion this is not a useful path towards a true AGI. Don’t get me wrong, this tool is extremely useful and to most people, they’d likely pass a basic Turing Test. But LLMs are sophisticated pattern recognition systems trained on vast amounts of text data that predict the most likely next word or token in a sequence. That’s really all they do. They are really good at predicting the next word. While they demonstrate impressive language capabilities, they lack several fundamental components necessary for an AGI: -no true understanding -they can’t really engage in the real world. -they have no real ability to learn real-time. -they don’t really have the ability to take in more then one type of info at a time.
I mean the simplest way in my opinion to explain the difference is you will never have an LLM just come up with something on its own. It’s always just a response to a prompt.