2 ms·

For the model to output the highest likelihood for the correct token, it must literally solve the mystery by inference with the given clues/narrative.

• andy99 3y ago
  That's completely different from investigation which involves iteratively hypothesizing and gathering evidence, and at each step coming up with ideas from an open field of possibilities. Having everything laid out for you as a classification problem and then just pronouncing is what ML models do very well and is an unrelated problem formulation. "AI" is great at solving well defined problem. Deciding there is a problem, formulating it, deciding and collecting what you need to solve or test it, iterating, not so much.