How a Neural Net Can Invent Something New

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I think what is, I think you were also kind of thinking about this point that sort of can a neural net sort of invent something new? Well, it can certainly write essays that have never been written before. It's the question of whether it can really kind of figure out something that goes beyond what we humans already kind of know on the web. But when it comes to figuring out a new fact about science or mathematics or something like this, no, it's not going to be able to do that. That's not, that's not its nature. The power tool way of getting new knowledge is to use this idea of computation which interestingly sort of emerged between the time when neural nets

In this thought-provoking podcast episode, we discuss the mysteries surrounding Large Language Models (LLMs) and their implications for the future of artificial intelligence (AI) with Stephen Wolfram, creator of Mathematica, Wolfram | Alpha & Wolfram Language.

We dive into the fascinating world of Large Language Models (LLMs) and their surprising capabilities. He also discusses the underlying scientific principles behind LLMs, including the concept of computational irreducibility, and how they function as probabilistic sentence finishers. Wolfram reflects on the potential applications of LLMs in computational contracts and the challenges of aligning AI systems with human aspirations.

As the conversation delves into the future of AI governance, Wolfram explores the complexities of regulating AI and the importance of finding a balance between human intervention and autonomous decision-making. This episode offers a captivating exploration of the evolving landscape of AI and its impact on various industries and job roles.

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