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When AI Learns What You Never Taught It: The Uneasy Reality of Emergent Behaviors in Modern Neural Networks
Artificial intelligence has reached a stage where models routinely display capabilities their designers never explicitly programmed. This is not science fiction; it is the central challenge of working with large modern architectures. These systems learn statistical abstractions at such scale that new behaviors emerge—behaviors the engineers neither anticipated nor fully understand. 1. The Nature…
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Artificial Intelligence at the Hardware Level: From TPU to NPU
The Shift Beyond CPUs and GPUs For years, artificial intelligence workloads relied primarily on central processing units (CPUs) and graphics processing units (GPUs). While GPUs revolutionized deep learning with their parallel processing capabilities, they were still general-purpose chips — not built specifically for AI. As models grew larger and more complex, the need for…