
AI's primary challenge is a reliability deficit, not intelligence or safety. Models excel in benchmarks but fail in real-world applications, wasting effort on retrying or accepting wrong outputs. The industry should fix basic reliability before chasing the smartest AI.
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Summary by ByteBrief
AI Fails When It Stops Renewing Itself