I think that it is, if there's one thing that is a bit concerning is how few people are actually thinking sensibly about these kinds of things. And the other thing, again, everybody writes a big prompt, then you feed all those prompts into an AI. You know, every time there's a decision to be made, you just ask the AI, what should you do? The answer is at least now until the self driving cars get smarter, there has to be a definite decision made because otherwise, you're not going to use the road together. I've been having a hard time figuring out kind of things like sort of the AI based constitution, what should be in it.
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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Disclosures: This conversation is for informational purposes only and does not constitute legal or investment advice. Actual results may vary materially from any forward looking statements made and are subject to risks and uncertainties. This podcast is not investment advice. Do not buy or sell tokens based off this episode.