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The future of science in an age of spending cuts

Riskgaming

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Navigating Innovation in AI Research

This chapter explores the evolution of AI research, focusing on the dominance of deep learning and the risks of over-convergence due to heavy investment in existing methodologies. It discusses the necessity for large organizations to maintain a contrarian perspective and invest in long-term innovation while balancing the dynamism of startups. The conversation highlights the challenges faced in fostering creativity and radical new ideas amidst resource constraints and competitive pressures.

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