The Case That A.I. Is Thinking

A programmer describes his shift from skepticism to belief that large language models demonstrate genuine reasoning capabilities, noting that while AI generates flawed outputs in consumer applications, it excels at complex software engineering tasks—accomplishing in hours work that previously took months—suggesting the technology's transformative potential is unevenly distributed across different domains. The article argues against dismissing large language models as mere "word shuffling," positioning them as tools capable of sophisticated problem-solving despite their documented weaknesses like hallucination and brittleness.

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