Wikipedia founder Jimmy Wales isn’t worried about Elon Musk’s Grokipedia: ‘Not optimistic he will create anything very useful right now’
Elon Musk‘s Wikipedia rival Grokipedia got off to a “rocky start” in its public debut, but Wikipedia founder Jimmy Wales didn’t even have to take a look at the AI’s output to know what he expected.
“I’m not optimistic he will create anything very useful right now,” Wales said at the CNBC Technology Executive Council Summit in New York City on Tuesday.
Wales had plenty of choice words for Musk, notably in response to allegations that there is “woke bias” on Wikipedia. “He is mistaken about that,” Wales said. “His complaints about Wiki are that we focus on mainstream sources and I am completely unapologetic about that. We don’t treat random crackpots the same as The New England Journal of Medicine and that doesn’t make us woke,” he said at the CNBC event. “It’s a paradox. We are so radical we quote The New York Times.”
“I haven’t had the time to really look at Grokipedia, and it will be interesting to see, but apparently it has a lot of praise about the genius of Elon Musk in it. So I’m sure that’s completely neutral,” he added.
Wales’ digs at Grokipedia — which has its own wiki page — were less about any ongoing spat with Musk and more about his significant concerns about the efforts by all large language models to create a trusted online source of information.
“The LLMs he is using to write it are going to make massive errors,” Wales said. “We know ChatGPT and all the other LLMs are not good enough to write wiki entries.”
Musk seems equally certain of the opposite outcome: “Grokipedia will exceed Wikipedia by several orders of magnitude in breadth, depth and accuracy,” he wrote in a post on Tuesday night.
Wales gave several real-world examples of why he doesn’t have faith in LLMs to recreate what Wikipedia’s global community has built over decades at a fraction of the cost — he estimated the organization’s hard technology costs as $175 million annually versus the tens of billions of dollars big tech companies are constantly pouring into AI efforts, and by one Wall Street estimate, a total of $550 billion in AI spending expected by the so-called hyperscalers next year.
One example Wales cited of LLM’s inaccuracy relates to his wife. Wales said he often asks new chatbot models to research obscure topics as a test of their abilities, and asking who his wife is, a “not famous but known” person, he said, who worked in British politics, always results in a “plausible but wrong” answer. Any time you ask an LLM to dig deep, Wales added, “it’s a mess.”
He also gave the example of a German Wiki community member who wrote a program to verify the ISBN numbers of books cited, and was able to trace notable mistakes to one person. That person ultimately confessed they had used ChatGPT to find citations for text references and the LLM “just very happily makes up books for you,” Wales said.
Wales did say the battles into which he has been drawn, by Musk and by AI, do reinforce a serious message for Wikipedia. “It’s really important for us and the Wiki community to respond to criticism like that by doubling down on being neutral and being really careful about sources,” he said. “We shouldn’t be ‘wokepedia.’ That’s not who we should be or what people want from us. It would undermine trust.”
Wales thinks the public and the media often give Wikipedia too much credit. In its early days, he says, the site was never as bad as the jokes made about it. But now, he says, “We are not as good as they think we are. Of course, we are a lot better than we used to be, but there is still so much work to do.”
And he expects the challenges from technology, and from misinformation, to get worse, with the ability to use LLMs to create fake websites with plausible text getting better and likely able to fool the public. But he says they will have a hard time fooling the Wiki community, which has spent 25 years studying and debating trusted information sources. “But it will fool a lot of people and that is a problem,” he said.
In some cases, this same new technology, which “makes stuff up that is completely useless,” may be useful to Wikipedia, he said. Wales has been doing some work on finding limited domains where AI can uncover additional information in existing sources that should be added to a wiki, a use of gen AI he described as currently being “kind of okay.”
“Maybe it helps us do our work faster,” he said. That feedback loop could be very useful for the site if it developed its own LLM that it could train, but the costs associated with that have led the site to hold off any formal effort while it continues to test the technology, he added.
“We are really happy Wiki is now part of the infrastructure of the world, which is a pretty heavy burden on us. So when people say we’ve gotten biased, we need to take that seriously and work on anything related to it,” Wales said.
But he couldn’t resist putting that another way, too: “We talk about errors that ChatGPT makes. Just imagine an AI solely trained on Twitter. That would be a mad, angry AI trained on nonsense,” Wales said.
CEO of Palantir Technologies Alex Karp attends the Pennsylvania Energy and Innovation Summit, at Carnegie Mellon University in Pittsburgh, Pennsylvania, U.S., July 15, 2025.
Nathan Howard | Reuters
It’s been a tough November for Palantir.
Shares of the software analytics provider dropped 16% for their worst month since August 2023 as investors dumped AI stocks due to valuation fears. Meanwhile, famed investor Michael Burry doubled down on the artificial intelligence trade and bet against the company.
Palantir started November off on a high note.
The Denver-based company topped Wall Street’s third-quarter earnings and revenue expectations. Palantir also posted its second-straight $1 billion revenue quarter, but high valuation concerns contributed to a post-print selloff.
In a note to clients, Jefferies analysts called Palantir’s valuation “extreme” and argued investors would find better risk-reward in AI names such as Microsoft and Snowflake. Analysts at RBC Capital Markets raised concerns about the company’s “increasingly concentrated growth profile,” while Deutsche Bank called the valuation “very difficult to wrap our heads around.”
Adding fuel to the post-earnings selloff was the revelation that Burry is betting against Palantir and AI chipmaker Nvidia. Burry, who is widely known for predicting the housing crisis that occurred in 2008 and the portrayal of him in the film “The Big Short,” later accused hyperscalers of artificially boosting earnings.
Palantir CEO Alex Karp vocally hit the front lines, appearing twice in one week on CNBC, where he accused Burry of “market manipulation” and called the investor’s actions “egregious.”
“The idea that chips and ontology is what you want to short is bats— crazy,” Karp told CNBC’s “Squawk Box.”
Despite the vicious selloff, Palantir has notched some deal wins this month. That included a multiyear contract with consulting firm PwC to speed up AI adoption in the U.K. and a deal with aircraft engine maintenance company FTAI.
But those announcements did little to shake off valuation worries that have haunted all AI-tied companies in November.
Across the board, investors have viciously ditched the high-priced group, citing fears of stretched valuations and a bubble.
In November, Nvidia pulled back more than 12%, while Microsoft and Amazon dropped about 5% each. Quantum computing names such as Rigetti Computing and D-Wave Quantum have shed more than a third of their value.
Apple and Alphabet were the only Magnificent 7 stocks to end the month with gains.
Sill, questions linger over Palantir’s valuation, and those worries aren’t a new concern.
Even after its steep price drop, the company’s stock trades at 233 times forward earnings. By comparison, Nvidia and Alphabet traded at about 38 times and 30 times, respectively, at Friday’s close.
Karp, who has long defended the company, didn’t miss an opportunity to clap back at his critics, arguing in a letter to shareholders that the company is making it feasible for everyday investors to attain rates of return once “limited to the most successful venture capitalists in Palo Alto.”
“Please turn on the conventional television and see how unhappy those that didn’t invest in us are,” Karp said during an earnings call. “Enjoy, get some popcorn. They’re crying. We are every day making this company better, and we’re doing it for this nation, for allied countries.”
Palantir declined to comment for this story.
WATCH: Palantir CEO Alex Karp: We’ve printed venture results for the average American
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