LLMs have no true understanding — they are the most sophisticated pattern-matching autocomplete systems ever built, and their output is just statistical inference over text, not a replication of human intelligence.
CJ argues that LLMs are not genuinely intelligent in the human sense; they are alien intelligences — something entirely different from human cognition — because they are trained exclusively on written text, not embodied experience. ✦ AI generated
CJ · Syntax · 2026-07-10 · original ↗
starts at this moment · 50:00
The more I feel like LLMs really just are the most sophisticated pattern matching autocomplete things we've ever built. I really don't think that they have true understanding. And I feel that the less magic there is, the less hand-waving there is in terms of trying to understand the underlying tech, the closer we'll get to really understanding how we can create better methods of working with LLMs.
verbatim transcript · starts at 50:00
49:40current moment that was backed by billions of dollars in research funding. And researchers are actively exploring alternatives. The next breakthrough might look nothing like what we covered today. Now, everything I discussed in this video is based on public research. The papers are public. There are even open weight models you can download and run yourself. And like I mentioned, all the code I wrote is linked in the
50:00description for you to check out. Plus, there's plenty of other projects on how to build an LLM from scratch you can check out on GitHub. But, personally, as I've done this research and and kind of dug more into it, the more I feel like LLMs really just are the most sophisticated pattern matching autocomplete things we've ever built. I really don't think that they have true understanding. Um and I feel
50:21that the the less magic there is, the less hand-waving there is in in terms of trying to understand the underlying tech, the closer we'll get to really understanding how we can create better methods of working with LLMs or or better create better understanding of the statistics of language. And I've also thought about how the fact that LLMs are just trained on written text, but human intelligence is more
50:47than just text. It's text is just one form of external communication. It's not actually how the brain itself runs. So, for me, that actually reinforces the idea that LLMs are predicting the next token based on language statistics, not necessarily like replicating what's happening with human intelligence and what's actually happening in the brain. So, in my opinion, AI is probably better described as something like alien intelligence rather than artificial
51:11intelligence because it's intelligent, but it's not necessarily a fake version of human intelligence. It's something entirely different. So, that's all I've got. Thank you so much for making it to the end of the video. If you have any questions, leave them down below. If I made any mistakes, let me know as well. I'll use the corrections feature of YouTube and I'll add it so future viewers of the video will see it. And
51:33also, if there's any topic you want to see me dive deeper into or explore in a future video, let me know as well. All right. See you in the next one.
- ·LLMs are the most sophisticated autocomplete systems ever built
- ·They have no true understanding — only statistical inference over text
- ·Output is pattern matching, not a replication of human intelligence
- ·Less mystification leads to better methods for working with LLMs
- ·LLMs are trained exclusively on written text, not embodied experience
- ·They represent an alien form of intelligence, not human cognition
- ·Human intelligence is grounded in physical, sensory, lived experience