Since ChatGPT uses randomness in generating its responses, different things can happen even when you ask it the exact same question (even in a fresh session). ![]() If you actually try these examples, don’t be surprised if they work differently (sometimes better, sometimes worse) from what I’m showing here. And, as a bonus, we can also make a visualization:Īnother example from back in January that now comes out correctly is: In January, I noted that ChatGPT ended up just “making up” plausible (but wrong) data when given this prompt:īut now it calls the Wolfram plugin and gets a good, authoritative answer. Let’s try another example, also from what I wrote in January:Ī fine result, worthy of our technology. But the upshot is a good, correct result, knitted into a nice, flowing piece of text. There are lots of nontrivial things going on here, on both the ChatGPT and Wolfram|Alpha sides. You can see this back and forth by clicking the “Used Wolfram” box (and by looking at this you can check that ChatGPT didn’t “make anything up”): How did this work? Under the hood, ChatGPT is formulating a query for Wolfram|Alpha-then sending it to Wolfram|Alpha for computation, and then “deciding what to say” based on reading the results it got back. And here’s a bonus: immediate visualization: It’s a correct result (which in January it wasn’t)-found by actual computation. So here’s my (very simple) first example from January, but now done by ChatGPT with “Wolfram superpowers” installed: But when it’s connected to the Wolfram plugin it can do these things. It’s still very early days for all of this, but it’s already very impressive-and one can begin to see how amazingly powerful (and perhaps even revolutionary) what we can call “ ChatGPT + Wolfram” can be.īack in January, I made the point that, as an LLM neural net, ChatGPT-for all its remarkable prowess in textually generating material “like” what it’s read from the web, etc.- can’t itself be expected to do actual nontrivial computations, or to systematically produce correct (rather than just “looks roughly right”) data, etc. 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 of as “computational superpowers”. In Just Two and a Half Months…Įarly in January I wrote about the possibility of connecting ChatGPT to Wolfram|Alpha. Note that this capability is so far available only to some ChatGPT Plus users for more information, see OpenAI’s announcement. ![]() ![]() To enable the functionality described here, select and install the Wolfram plugin from within ChatGPT.
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