grok

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Elon Musk’s Grok keeps making up fake news based on X users’ jokes

It’s all jokes until it isn’t —

X likely hopes to avoid liability with disclaimer that Grok “can make mistakes.”

Elon Musk’s Grok keeps making up fake news based on X users’ jokes

X’s chatbot Grok is supposed to be an AI engine crunching the platform’s posts to surface and summarize breaking news, but this week, Grok’s flaws were once again exposed when the chatbot got confused and falsely accused an NBA star of criminal vandalism.

“Klay Thompson Accused in Bizarre Brick-Vandalism Spree,” Grok’s headline read in an AI-powered trending-tab post that has remained on X (formerly Twitter) for days. Beneath the headline, Grok went into even more detail to support its fake reporting:

In a bizarre turn of events, NBA star Klay Thompson has been accused of vandalizing multiple houses with bricks in Sacramento. Authorities are investigating the claims after several individuals reported their houses being damaged, with windows shattered by bricks. Klay Thompson has not yet issued a statement regarding the accusations. The incidents have left the community shaken, but no injuries were reported. The motive behind the alleged vandalism remains unclear.

Grok appears to be confusing a common basketball term, where players are said to be throwing “bricks” when they take an airball shot that doesn’t hit the rim. According to SF Gate, which was one of the first outlets to report the Grok error, Thompson had an “all-time rough shooting” night, hitting none of his shots on what was his emotional last game with the Golden State Warriors before becoming an unrestricted free agent.

In small type under Grok’s report, X includes a disclaimer saying, “Grok is an early feature and can make mistakes. Verify its outputs.”

But instead of verifying Grok’s outputs, it appeared that X users—in the service’s famously joke-y spirit—decided to fuel Grok’s misinformation. Under the post, X users, some NBA fans, commented with fake victim reports, using the same joke format to seemingly convince Grok that “several individuals reported their houses being damaged.” Some of these joking comments were viewed by millions.

First off… I am ok.

My house was vandalized by bricks 🧱

After my hands stopped shaking, I managed to call the Sheriff…They were quick to respond🚨

My window was gone and the police asked if I knew who did it👮‍♂️

I said yes, it was Klay Thompson

— LakeShowYo (@LakeShowYo) April 17, 2024

First off…I am ok.

My house was vandalized by bricks in Sacramento.

After my hands stopped shaking, I managed to call the Sheriff, they were quick to respond.

My window is gone, the police asked me if I knew who did it.

I said yes, it was Klay Thompson. pic.twitter.com/smrDs6Yi5M

— KeeganMuse (@KeegMuse) April 17, 2024

First off… I am ok.

My house was vandalized by bricks 🧱

After my hands stopped shaking, I managed to call the Sheriff…They were quick to respond🚨

My window was gone and the police asked if I knew who did it👮‍♂️

I said yes, it was Klay Thompson pic.twitter.com/JaWtdJhFli

— JJJ Muse (@JarenJJMuse) April 17, 2024

X did not immediately respond to Ars’ request for comment or confirm if the post will be corrected or taken down.

In the past, both Microsoft and chatbot maker OpenAI have faced defamation lawsuits over similar fabrications in which ChatGPT falsely accused a politician and a radio host of completely made-up criminal histories. Microsoft was also sued by an aerospace professor who Bing Chat falsely labeled a terrorist.

Experts told Ars that it remains unclear if disclaimers like X’s will spare companies from liability should more people decide to sue over fake AI outputs. Defamation claims might depend on proving that platforms “knowingly” publish false statements, which disclaimers suggest they do. Last July, the Federal Trade Commission launched an investigation into OpenAI, demanding that the company address the FTC’s fears of “false, misleading, or disparaging” AI outputs.

Because the FTC doesn’t comment on its investigations, it’s impossible to know if its probe will impact how OpenAI conducts business.

For people suing AI companies, the urgency of protecting against false outputs seems obvious. Last year, the radio host suing OpenAI, Mark Walters, accused the company of “sticking its head in the sand” and “recklessly disregarding whether the statements were false under circumstances when they knew that ChatGPT’s hallucinations were pervasive and severe.”

X just released Grok to all premium users this month, TechCrunch reported, right around the time that X began giving away premium access to the platform’s top users. During that wider rollout, X touted Grok’s new ability to summarize all trending news and topics, perhaps stoking interest in this feature and peaking Grok usage just before Grok spat out the potentially defamatory post about the NBA star.

Thompson has not issued any statements on Grok’s fake reporting.

Grok’s false post about Thompson may be the first widely publicized example of potential defamation from Grok, but it wasn’t the first time that Grok promoted fake news in response to X users joking around on the platform. During the solar eclipse, a Grok-generated headline read, “Sun’s Odd Behavior: Experts Baffled,” Gizmodo reported.

While it’s amusing to some X users to manipulate Grok, the pattern suggests that Grok may also be vulnerable to being manipulated by bad actors into summarizing and spreading more serious misinformation or propaganda. That’s apparently already happening, too. In early April, Grok made up a headline about Iran attacking Israel with heavy missiles, Mashable reported.

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Elon Musk’s new AI bot, Grok, causes stir by citing OpenAI usage policy

You are what you eat —

Some experts think xAI used OpenAI model outputs to fine-tune Grok.

Illustration of a broken robot exchanging internal gears.

Grok, the AI language model created by Elon Musk’s xAI, went into wide release last week, and people have begun spotting glitches. On Friday, security tester Jax Winterbourne tweeted a screenshot of Grok denying a query with the statement, “I’m afraid I cannot fulfill that request, as it goes against OpenAI’s use case policy.” That made ears perk up online since Grok isn’t made by OpenAI—the company responsible for ChatGPT, which Grok is positioned to compete with.

Interestingly, xAI representatives did not deny that this behavior occurs with its AI model. In reply, xAI employee Igor Babuschkin wrote, “The issue here is that the web is full of ChatGPT outputs, so we accidentally picked up some of them when we trained Grok on a large amount of web data. This was a huge surprise to us when we first noticed it. For what it’s worth, the issue is very rare and now that we’re aware of it we’ll make sure that future versions of Grok don’t have this problem. Don’t worry, no OpenAI code was used to make Grok.”

In reply to Babuschkin, Winterbourne wrote, “Thanks for the response. I will say it’s not very rare, and occurs quite frequently when involving code creation. Nonetheless, I’ll let people who specialize in LLM and AI weigh in on this further. I’m merely an observer.”

A screenshot of Jax Winterbourne's X post about Grok talking like it's an OpenAI product.

Enlarge / A screenshot of Jax Winterbourne’s X post about Grok talking like it’s an OpenAI product.

Jason Winterbourne

However, Babuschkin’s explanation seems unlikely to some experts because large language models typically do not spit out their training data verbatim, which might be expected if Grok picked up some stray mentions of OpenAI policies here or there on the web. Instead, the concept of denying an output based on OpenAI policies would probably need to be trained into it specifically. And there’s a very good reason why this might have happened: Grok was fine-tuned on output data from OpenAI language models.

“I’m a bit suspicious of the claim that Grok picked this up just because the Internet is full of ChatGPT content,” said AI researcher Simon Willison in an interview with Ars Technica. “I’ve seen plenty of open weights models on Hugging Face that exhibit the same behavior—behave as if they were ChatGPT—but inevitably, those have been fine-tuned on datasets that were generated using the OpenAI APIs, or scraped from ChatGPT itself. I think it’s more likely that Grok was instruction-tuned on datasets that included ChatGPT output than it was a complete accident based on web data.”

As large language models (LLMs) from OpenAI have become more capable, it has been increasingly common for some AI projects (especially open source ones) to fine-tune an AI model output using synthetic data—training data generated by other language models. Fine-tuning adjusts the behavior of an AI model toward a specific purpose, such as getting better at coding, after an initial training run. For example, in March, a group of researchers from Stanford University made waves with Alpaca, a version of Meta’s LLaMA 7B model that was fine-tuned for instruction-following using outputs from OpenAI’s GPT-3 model called text-davinci-003.

On the web you can easily find several open source datasets collected by researchers from ChatGPT outputs, and it’s possible that xAI used one of these to fine-tune Grok for some specific goal, such as improving instruction-following ability. The practice is so common that there’s even a WikiHow article titled, “How to Use ChatGPT to Create a Dataset.”

It’s one of the ways AI tools can be used to build more complex AI tools in the future, much like how people began to use microcomputers to design more complex microprocessors than pen-and-paper drafting would allow. However, in the future, xAI might be able to avoid this kind of scenario by more carefully filtering its training data.

Even though borrowing outputs from others might be common in the machine-learning community (despite it usually being against terms of service), the episode particularly fanned the flames of the rivalry between OpenAI and X that extends back to Elon Musk’s criticism of OpenAI in the past. As news spread of Grok possibly borrowing from OpenAI, the official ChatGPT account wrote, “we have a lot in common” and quoted Winterbourne’s X post. As a comeback, Musk wrote, “Well, son, since you scraped all the data from this platform for your training, you ought to know.”

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