While AI delivers greater speed and scale, it can also produce biased or inaccurate recommendations if the underlying data, model design or oversight systems fall short.

Andrej Karpathy has argued that human researchers are now the bottleneck in AI, after his open-source autoresearch framework ran 700 experiments autonomously.

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