[dehsge]

LLMs are bounded by the same bounds computers are. They run on computers so a prime example of a limitation is Rices theorem. Any ‘ai’ that writes code is unable (just like humans) to determine if the output is or is not error free.

This means a multi agent workflow without human that writes code may or may not be error free.

LLMs are also bounded by runtime complexity. Could an llm find the shortest Hamiltionian path between two cities in non polynomial time?

LLMs are bounded by in model context: Could an llm create and use a new language with no context in its model?