<ul data-eligibleForWebStory="true"><li>Apple's results show that for low complexity problems, standard Large Language Models (LLMs) outperform Less-Resource Models (LRMs), while LRMs have an advantage in medium complexity problems. However, both models fail for high complexity problems.</li><li>The author agrees with Apple's results, stating that both LLMs and LRMs, being based on learned patterns from data, do not capture the 'thinking' process of the human mind effectively.</li><li>Drawing a parallel to Schrödinger's thought experiment, where outcomes are probabilistic, the author suggests that the human mind cannot be modeled in a binary way, but rather needs a quantum approach.</li><li>The author proposes that modeling the human mind with a quantum approach, leading to probabilistic outcomes, may be more reflective of actual human thinking processes.</li></ul>

Illusion of Thinking — what’s next?

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