this post was submitted on 27 Dec 2024
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The right tool for the right job. It's not intelligent, it is just trained. It all boils down to stochastic.
And then there is the ecological aspect...
Or sometimes the moral aspect, if it is used to manage someone's "fate" in application processing. And it might be trained to be racist or misogynist if you use the wrong training data.
The same could be said about every human being....
Right? I see comments all the time about it just being glorified pattern recognition. Well...thats what humans do as well. We recognize patterns and then predict the most likely outcome.
That is one part of many that a human brain does. This is like trying to say the color red is a rainbow, because the rainbow has red in it.
Can you expand on that?
How? You’re focusing on one thing a human does and using it to point to how human like LLMs are, while ignoring everything else humans do. You’re missing the forest for the trees.
I didn't say that at all. What I said was LLMs solve problems just like a human does. Pattern recognition. Then I asked you to provide an example of one thing a human does that doesnt boil down to pattern recognition. The words we speak and type are patterns. The decisions we make are based on patterns we learned in the past. Thats really all I meant by it.
LLMs don’t solve problems. That’s the point being made here. Many other algorithms do indeed solve issues, but those are very niche, as the alogos were explicitly designed for those situations.
While yes, humans excel at pattern recognition, sometimes to the point of it being a problem, there are many things we do that have nothing to do with patterns beyond the fact that they are tangentially involved. Emotions for instance don’t inherently follow patterns. They can, but they aren’t directly tied. Exploration also doesn’t come from pattern recognition.
If you need examples of why people flat out say LLMs aren’t solving problems, look at the recent “how many r’s in strawberry” which has admittedly been “fixed” in many models.
At the end of the day LLMs take in historical data and use it to predict what comes next. Just like humans do. But I guess we can disagree and leave it at that.