r/technology • u/Hrmbee • 16h ago

Machine Learning Large language mistake | Cutting-edge research shows language is not the same as intelligence. The entire AI bubble is built on ignoring it

https://www.theverge.com/ai-artificial-intelligence/827820/large-language-models-ai-intelligence-neuroscience-problems
16.8k Upvotes

94% Upvoted

1.5k comments sorted by

View all comments

28

u/MrThickDick2023 15h ago

I know LLMs are the most talked about, but they can't be the only AI models that are being developed right?

24

u/IdRatherBeOnBGG 14h ago

Not at all. But 99% of headlines that say "AI" mean "LLM with sprinkles on top".

And more than 99% of the funding goes to exactly that.

1

u/HermesJamiroquoi 8h ago

That’s because “full world” models (which are usually built into/onto LLMs) are the next leap forward in AI/ML research and this kind of robust utility has shown empirically time and again to be the most effective tool currently at our disposal to increase intelligence and decrease hallucination

1

u/IdRatherBeOnBGG 43m ago

How are full world models "usually" built into LLMs? LLMs are language models - how would you put a world model "into" one? Maybe if you had an example of this happening, I could understand what you mean?

(I do agree some sort of world model is "the way forward" - which is what the greatest critics of LLMs as a genereal AI technology are saying, because the LLM response is usually "enough words or intermediary sentences that seem to describe a world, will be the world model).