
Bug Labs
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101 ming ko'rish · 🔍 Razborlar
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YouTube Description In 2017, Apple's first Neural Engine could do 600 billion operations per second. Just seven years later, the M4 chip can do 38 trillion. That's not an upgrade; it's a completely different species of technology. So how is that even possible? This video is the technical breakdown. We're not just looking at specs; we're deconstructing the system. We'll explore: The "Von Neumann bottleneck" and why traditional CPUs are a dumb tool for AI. How a Neural Engine works as a hyper-efficient factory for one single operation: matrix multiplication. The insane, near-atomic physics o
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