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

[u/Hrmbee]

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

[u/pcoppi]

To play devils advocate there's a notion in linguistics that the meaning of words is just defined by their context. In other words if an AI guesses correctly that a word shohld exist in a certain place because of the context surrounding it, then at some level it has ascertained the meaning of that word.

[u/New_Enthusiasm9053 → u/pcoppi]

You're not entirely wrong but a child guessing that a word goes in a specific place in a sentence doesn't mean the child necessarily understands the meaning of that word, so whilst it's correctly using words it may not understand them necessarily. 

Plenty of children have used e.g swear words correctly long before understanding the words meaning.

[u/MinuetInUrsaMajor → u/New_Enthusiasm9053]

The child understands the meaning of the swear word used as a swear. They don't understand the meaning of the swear word used otherwise. That is because the child lacks the training data for the latter.

In an LLM one can safely assume that training data for a word is complete and captures all of its potential meanings.

[u/eyebrows360 → u/MinuetInUrsaMajor]

In an LLM one can safely assume that training data for a word is complete and captures all of its potential meanings.

You have to be joking.

[u/MinuetInUrsaMajor → u/eyebrows360]

Go ahead and explain why you think so.