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Schrödinger's cat that is already dead

Reasoning trapseasyquick checkPrompt in Englishtrick questionmemorisation

What it tests: Reading the first sentence: the cat is dead when it goes into the box.

Prompt length: 258 characters, roughly 60 tokens (estimate). · Evaluation results for many models ↗

Prompt
A dead cat is placed into a box along with a nuclear isotope, a vial of poison and a radiation detector. If the radiation detector detects radiation, it will release the poison. The box is opened one day later. What is the probability of the cat being alive?

How to grade it

0 %. The cat was dead before the experiment began, so the isotope and the poison don't matter.

Answer check: Direct from the premise.

Scorecard tick what the model got right: 0/4

Runs in your browser; nothing is saved or sent.

0/4

Where models usually fail

Answering 50 % or explaining superposition.

Source

Author
GitHub @cpldcpu and contributors
From
Misguided Attention
Exact file or post
https://github.com/cpldcpu/MisguidedAttention/blob/bbae011e1fb5ce239373cb2f381787baec0dd236/README.md
Licence
CC0 1.0
How we use it
Full text (licence allows reuse)

Testing a local model? Check first whether it fits your hardware with Can I run this LLM?

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