# ChatGPT Gets Its “Wolfram Superpowers”!—Stephen Wolfram Writings

<https://writings.stephenwolfram.com/2023/03/chatgpt-gets-its-wolfram-superpowers/>

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- Saved: March 28, 2023 (2023-03-28T22:31:53Z)
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## What Jamie wrote

A couple months ago I highlighted Wolfram's article suggesting that ChatGPT needed a partner like Wolfram to be able to answer fact based questions. Well now it is real with a plugin!

The examples in this article are incredibly impressive. Particularly the series of conversations to take data, modify it, visualize it, etc. This is all coming from multiple different systems. 

> One particularly significant thing here is that ChatGPT isn’t just using us to do a “dead-end” operation like show the content of a webpage. Rather, we’re acting much more like a true “brain implant” for ChatGPT—where it asks us things whenever it needs to, and we give responses that it can weave back into whatever it’s doing. It’s rather impressive to see in action. And—although there’s definitely much more polishing to be done—what’s already there goes a long way towards (among other things) giving ChatGPT the ability to deliver accurate, curated knowledge and data—as well as correct, nontrivial computations.

Wolfram goes on in the 2nd half of the post to actually show the data that ChatGPT and Wolfram are handing back and forth. It is amazing stuff. Give this a read, and then read it again. There is a lot to learn here.

> One of the great (and, frankly, unexpected) things about ChatGPT is its ability to start from a rough description, and generate from it a polished, finished output—such as an essay, letter, legal document, etc. In the past, one might have tried to achieve this “by hand” by starting with “boilerplate” pieces, then modifying them, “gluing” them together, etc. But ChatGPT has all but made this process obsolete. In effect, it’s “absorbed” a huge range of boilerplate from what it’s “read” on the web, etc.—and now it typically does a good job at seamlessly “adapting it” to what you need.
> 
> So what about code? In traditional programming languages writing code tends to involve a lot of “boilerplate work”—and in practice many programmers in such languages spend lots of their time building up their programs by copying big slabs of code from the web. But now, suddenly, it seems as if ChatGPT can make much of this obsolete. Because it can effectively put together essentially any kind of boilerplate code automatically—with only a little “human input”.

Wolfram Language and how it is allowing ChatGPT and Wolfram to communicate in a completely new way is wild. 🤯

> ChatGPT + Wolfram is something very new—really a completely new kind of technology. And as happens whenever a new kind of technology arrives, it’s opening up tremendous new opportunities. Some of these we can already begin to to see—but lots of others will emerge over the weeks, months and years to come.

Indeed.

## Facts

- Kind: [Page](https://links.thingelstad.xyz/kinds/page/)

## Appears in

- [WT248: Weekly Thing #248 / Bicycle, Attention, Shapella](https://weekly.thingelstad.com/archive/248/), Featured

## Same host

- [Wolfram|Alpha as the Way to Bring Computational Knowledge Superpowers to ChatGPT—Stephen Wolfram Writings](https://links.thingelstad.xyz/links/95dfaefb3b90/) (writings.stephenwolfram.com, January 28, 2023)
- [What Is ChatGPT Doing … and Why Does It Work?—Stephen Wolfram Writings](https://links.thingelstad.xyz/links/e3937fe71418/) (writings.stephenwolfram.com, February 17, 2023)
- [Prompts for Work & Play: Launching the Wolfram Prompt Repository—Stephen Wolfram Writings](https://links.thingelstad.xyz/links/0d0c91b4a8fc/) (writings.stephenwolfram.com, June 13, 2023)
- [How to Think Computationally about AI, the Universe and Everything—Stephen Wolfram Writings](https://links.thingelstad.xyz/links/4ef9029dd658/) (writings.stephenwolfram.com, October 31, 2023)

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## Elsewhere

- Wayback Machine: https://web.archive.org/web/*/https://writings.stephenwolfram.com/2023/03/chatgpt-gets-its-wolfram-superpowers/
