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See also: “What Is ChatGPT Doing … and Why Does It Work?” » To enable the functionality described here, select and install the Wolfram plugin from within ChatGPT. Note that this capability is so far available only to some ChatGPT Plus users; for more information, see OpenAI’s announcement. In Just Two and a Half Months… Early in January […]
over a year ago

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More from Stephen Wolfram Writings

What Can We Learn about Engineering and Innovation from Half a Century of the Game of Life Cellular Automaton?

Metaengineering and Laws of Innovation Things are invented. Things are discovered. And somehow there’s an arc of progress that’s formed. But are there what amount to “laws of innovation” that govern that arc of progress? There are some exponential and other laws that purport to at least measure overall quantitative aspects of progress (number of […]

a week ago 12 votes
Towards a Computational Formalization for Foundations of Medicine

A Theory of Medicine? As it’s practiced today, medicine is almost always about particulars: “this has gone wrong; this is how to fix it”. But might it also be possible to talk about medicine in a more general, more abstract way—and perhaps to create a framework in which one can study its essential features without […]

a month ago 30 votes
Launching Version 14.2 of Wolfram Language & Mathematica: Big Data Meets Computation & AI

The Drumbeat of Releases Continues… Notebook Assistant Chat inside Any Notebook Bring Us Your Gigabytes! Introducing Tabular Manipulating Data in Tabular Getting Data into Tabular Cleaning Data for Tabular The Structure of Tabular Tabular Everywhere Algebra with Symbolic Arrays Language Tune-Ups Brightening Our Colors; Spiffing Up for 2025 LLM Streamlining & Streaming Streamlining Parallel Computation: […]

2 months ago 45 votes
Who Can Understand the Proof? A Window on Formalized Mathematics

Related writings: “Logic, Explainability and the Future of Understanding” (2018) » “The Physicalization of Metamathematics and Its Implications for the Foundations of Mathematics” (2022) » “Computational Knowledge and the Future of Pure Mathematics” (2014) » The Simplest Axiom for Logic Theorem (Wolfram with Mathematica, 2000): The single axiom ((a•b)•c)•(a•((a•c)•a))c is a complete axiom system for Boolean algebra (and […]

2 months ago 86 votes
Useful to the Point of Being Revolutionary: Introducing Wolfram Notebook Assistant

Note: As of today, copies of Wolfram Version 14.1 are being auto-updated to allow subscription access to the capabilities described here. [For additional installation information see here.] Just Say What You Want! Turning Words into Computation Nearly a year and a half ago—just a few months after ChatGPT burst on the scene—we introduced the first […]

3 months ago 94 votes

More in programming

What Is Software Quality?

Everyone wants the software they work on to produce quality products, but what does that mean? In addition, how do you know when you have it? This is the longest single blog post I have ever written. I spent four decades writing software used by people (most of the server

23 hours ago 4 votes
[April Cools] Gaming Games for Non-Gamers

My April Cools is out! Gaming Games for Non-Gamers is a 3,000 word essay on video games worth playing if you've never enjoyed a video game before. Patreon notes here. (April Cools is a project where we write genuine content on non-normal topics. You can see all the other April Cools posted so far here. There's still time to submit your own!) April Cools' Club

an hour ago 1 votes
Name that Ware, March 2025

The Ware for March 2025 is shown below. I was just taking this thing apart to see what went wrong, and thought it had some merit as a name that ware. But perhaps more interestingly, I was also experimenting with my cross-polarized imaging setup. This is a technique a friend of mine told me about […]

yesterday 3 votes
Great AI Steals

Picasso got it right: Great artists steal. Even if he didn’t actually say it, and we all just repeat the quote because Steve Jobs used it. Because it strikes at the heart of creativity: None of it happens in a vacuum. Everything is inspired by something. The best ideas, angles, techniques, and tones are stolen to build everything that comes after the original. Furthermore, the way to learn originality is to set it aside while you learn to perfect a copy. You learn to draw by imitating the masters. I learned photography by attempting to recreate great compositions. I learned to program by aping the Ruby standard library. Stealing good ideas isn’t a detour on the way to becoming a master — it’s the straight route. And it’s nothing to be ashamed of. This, by the way, doesn’t just apply to art but to the economy as well. Japan became an economic superpower in the 80s by first poorly copying Western electronics in the decades prior. China is now following exactly the same playbook to even greater effect. You start with a cheap copy, then you learn how to make a good copy, and then you don’t need to copy at all. AI has sped through the phase of cheap copies. It’s now firmly established in the realm of good copies. You’re a fool if you don’t believe originality is a likely next step. In all likelihood, it’s a matter of when, not if. (And we already have plenty of early indications that it’s actually already here, on the edges.) Now, whether that’s good is a different question. Whether we want AI to become truly creative is a fair question — albeit a theoretical or, at best, moral one. Because it’s going to happen if it can happen, and it almost certainly can (or even has). Ironically, I think the peanut gallery disparaging recent advances — like the Ghibli fever — over minor details in the copying effort will only accelerate the quest toward true creativity. AI builders, like the Japanese and Chinese economies before them, eager to demonstrate an ability to exceed. All that is to say that AI is in the "Good Copy" phase of its creative evolution. Expect "The Great Artist" to emerge at any moment.

yesterday 2 votes