<ul data-eligibleForWebStory="false"><li>The bottleneck in AI development lies in the hardware infrastructure, which is crucial for processing large amounts of data quickly for training AI models.</li><li>Current hardware is struggling to keep up with the demands of AI, requiring fast and efficient chips to handle the intense computational requirements.</li><li>Tech giants are investing in building or acquiring specialized hardware to stay ahead in the AI race, while labs in Europe and Asia are developing reprogrammable chips for versatility.</li><li>Improving hardware capabilities is essential for making AI more practical, accessible, and cost-effective, particularly as the pursuit of Artificial General Intelligence (AGI) requires more advanced hardware.</li></ul>

The Hidden Bottleneck of AI: Why Hardware May Decide the Future of AGI?

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