Despite their impressive capabilities, AI systems still have clear weaknesses, whether it’s understanding context, reasoning through complex problems, or reducing reliance on massive datasets. In your opinion, what are the most critical technical or conceptual limitations holding AI back today? How do you think researchers or the industry can overcome them?
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