I must add that I also tried out the standard "should I walk or drive to the carwash 100 meters away for washing the car" and it made usual error or suggesting a walk given the distance and health reasons etc. But then this does not claim to be a reasoning model and I did not expect, in the remotest case, for this to be answered correctly. Ever previous generation larger reasoning models struggle with this
I ran it through a rudimentary thinking harness, and it still failed, fwiw:
The question is about the best mode of transportation to a car wash located 100 meters away. Since the user is asking for a recommendation, it's important to consider practical factors like distance, time, and convenience.
Walking is the most convenient and eco-friendly option, especially if the car wash is within a short distance. It avoids the need for any transportation and is ideal for quick errands.
Driving is also an option, but it involves the time and effort of starting and stopping the car, parking, and navigating to the location.
Given the proximity of the car wash (100 meters), walking is the most practical and efficient choice. If the user has a preference or if the distance is longer, they can adjust accordingly.
And to be fair, you asked about traveling to a location. It just so happens that location is a car wash. You didn't say anything about wanting to wash the car; that's an inference on your part. A reasonable inference based on human experience, sure, but still an inference. You could just as easily want to go to the car wash because that's where you work, or you are meeting somebody there.
Honestly, the fact that we have models that can coherently reason about this problem at all is a technological miracle. And to have it runnable in a 1.15GB memory footprint? Is insanity.
But the fact that we have convinced a pig to dance, and trained a dog to provide stock tips? That can be improved upon over time. We've gotten here, haven't we? It really is a miracle, and I'll stick to that opinion.
