We originally invented the concept of “Notebooks” back in 1987, for Version 1.0 of Mathematica. And over the past 36 years, Notebooks have proved to be an incredibly convenient medium in which to do—and publish—work (and indeed, I, for example, have created hundreds of thousands of them). And, yes, eventually the basic concepts of Notebooks […]
Early in January I wrote about the possibility of connecting ChatGPT to Wolfram|Alpha. And today—just two and a half months later—I’m excited to announce that it’s happened! Thanks to some heroic software engineering by our team and by OpenAI, ChatGPT can now call on Wolfram|Alpha—and Wolfram Language as well—to give it what we might think […]
Explore the contents of this article with a free Wolfram System Modeler trial. The Swedish Air Force has an annual tradition of greeting the people of Sweden at the end of the year by flying their fighter jets in a formation shaped like a Christmas tree. Besides welcoming everyone, this tradition plays a role as a valuable rehearsal for the fighter pilots in formation flying and is a way to show their presence. Thus, the large amounts of fuel burned by the fighter jets, which are most certainly not known for their fuel efficiency, may be excused in this tradition.
That ChatGPT can automatically generate something that reads even superficially like human-written text is remarkable, and unexpected. But how does it do it? And why does it work? My purpose here is to give a rough outline of what’s going on inside ChatGPT—and then to explore why it is that it can do so well […]
Explore the contents of this article with a free Wolfram System Modeler trial. Have you ever watched Shark Tank or Dragons’ Den? Were you intrigued by the pitches of the founders? After the pitch, you might have heard the sharks or the dragons asking about the growth rate, profit or market size. What do those numbers say about a company? Are losses in the initial years always bad?
Over the last few days, I’ve been asked how ChatGPT (particularly allied to Wolfram|Alpha) will affect education, how it relates to “computational literacy for all” and the computer-based mathematics education that my book The Math(s) Fix provides a blueprint for.
Wolfram is involved in Edtech in many other ways too; it will be great seeing how the full range of powerful integrations emerge that can deliver better education.
I’ve been tracking neural net technology for a long time (about 43 years, actually). And even having watched developments in the past few years I find the performance of ChatGPT thoroughly remarkable. Finally, and suddenly, here’s a system that can successfully generate text about almost anything—that’s very comparable to what humans might write. It’s impressive, and useful. And, as I’ll discuss elsewhere, I think its success is probably telling us some very fundamental things about the nature of human thinking.