I myself have been deeply involved with the computational paradigm for many decades, in the singular pursuit of building a computational language to represent as many things in the world as possible in formal symbolic ways. And indeed one of the great achievements of our civilization over the past several centuries has been to build up the paradigms of mathematics, the exact sciences-and, most importantly, now computation-and to create a tower of capabilities quite different from what pure human-like thinking can achieve. Some of it is instead more formal and structured. And, as I discuss elsewhere, I think its success is probably telling us some very fundamental things about the nature of human thinking.īut while ChatGPT is a remarkable achievement in automating the doing of major human-like things, not everything that’s useful to do is quite so “human like”. Finally, and suddenly, here’s a system that can successfully generate text about almost anything-that’s very comparable to what humans might write.

And even having watched developments in the past few years I find the performance of ChatGPT thoroughly remarkable. I’ve been tracking neural net technology for a long time (about 43 years, actually). And it’s happening now with OpenAI’s ChatGPT. It happened with our Physics Project in 2020.

It happened to us with Wolfram|Alpha back in 2009. It’s always amazing when things suddenly “just work”. Wolfram Knowledgebase Curated computable knowledge powering Wolfram|Alpha.“What Is ChatGPT Doing … and Why Does It Work?” » Wolfram Universal Deployment System Instant deployment across cloud, desktop, mobile, and more. Wolfram Data Framework Semantic framework for real-world data.

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