The Evolution of AI Processing Architectures

This chapter explores the capabilities of modern AI in handling real-world data at unprecedented speeds. It contrasts traditional computing with advanced parallel systems and highlights recent achievements within the AI field.

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Can AI tools like ChatGPT actually "think," or is it just really good at mimicking human conversation? How much of what AI spits out is a reflection of our own ideas and intentions? And where's all this tech headed in the future?

Today, I’m joined by Terry Sejnowski, a renowned computational neuroscientist and pioneer in AI and deep learning. Based at the Salk Institute for Biological Studies and the University of California, San Diego, he bridges neuroscience and AI to explore how biological brains and artificial systems learn and process information.

Terry is also the co-creator of the Boltzmann Machine, a game-changing algorithm that has shaped today’s AI and is a foundation for modern neural networks. He has also written some incredible books, including The Deep Learning Revolution” and “ChatGPT and the Future of AI.

In our conversation, we discuss the current state of AI, what’s next, the ins and outs of prompt engineering, the mirror hypothesis (how AI reflects us), its impact on productivity, and the ethical challenges we must tackle.

Tune in to discover the truth about AI!

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