What is the advantage of using the ChatGPT Wolfram plugin over Wolfram directly? To me it feels like novelty rather than actually adding anything valuable. If anything, it's worse, because the data isn't quite guarenteed to always be correct. Whereas if I use Wolfram directly, I can always get a correct result.
This is missing the most important part of AGI, where understanding of the concepts the plugins provide is actually baked into the model so that it can use that understand to reason laterally. With this approach, ChatGPT is nothing more than an API client that accepts English sentences as input.
