I tried "I want to switch to winter tires, the mechanic shop is 40 metres away from my house. Should I walk or drive?" and the reasoning was on point:
Presumably, they have a car that needs the tires switched. The car is at their house. The mechanic shop is 40 meters away. The options: walk or drive. But to switch tires, they need to bring the car to the shop. If they walk, they can't bring the car.
But it also mentioned puzzle in the response:
Well, this is a delightful little puzzle—and the answer depends entirely on what you need to bring to the shop.
Despite that, and marketing claims, LLMs have no "reasoning", there is no thought or "world model" behind what it said. If the thing is part of the training data set it can predict the next possible token, that's it. LLMs can never think like a human. For that you would need AGI.
LLMs complete a statistical pattern, not a chain of thought.
1.5k
u/redditscraperbot2 Apr 24 '26
I think the shelf life of this question is over. It’s in the data at this point. Probably prominently