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Wolfram alpha similar4/27/2023 ![]() ![]() While it’s great to see Stephen Wolfram and his company back in the news cycle, it’s not like Wolfram|Alpha ever went away (and yes, it still has “alpha” in the product name). And what we’ve been involved in doing is making a representation of the world as the world is, in computable form.” An App Store for Generative AI? “The fact is that, as a practical matter, LLMs are making statistically reasonable pieces of text, which may or may not actually be the way the world is. ![]() He also pounced on the current flaw in ChatGPT - that it hallucinates facts - as being something that Wolfram|Alpha solves. “The way I see it, there have been the two great traditions of AI,” Wolfram said, referring to statistical and symbolic, “and we’ve now got this opportunity to really connect them together, through the medium of a mixture of natural language and computational language.” As Wolfram founder Stephen Wolfram put it in a recent podcast, these two types of AI are now being brought together. ![]() The key difference between ChatGPT and Wolfram is that the former is based on statistical approaches to training large language models (LLM), while Wolfram is a symbolic computation engine (meaning it is heavily math-based). So how does that fit with the relatively new “generative AI” approach of ChatGPT? Let’s take a look… How ChatGPT and Wolfram Differ Wolfram|Alpha is a so-called “symbolic AI” engine, which means it tries to emulate the way a human brain learns. But Wolfram|Alpha is back in the news now, as one of the first “ plugins” for ChatGPT, announced last week by OpenAI. ![]() Sound familiar? That was back in 2009, long before the current hype around ChatGPT. 14 years ago, I sat down with a representative from Wolfram|Alpha, which billed itself as a “computational knowledge engine.” I described it at the time as a tool that enables “users to type human-like statements and have computations done on those.” It was also written about in the tech media as a potential “Google killer.” ![]()
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