AI Research
The Grok chatbot spewed racist and antisemitic content : NPR
A person holds a telephone displaying the logo of Elon Musk’s artificial intelligence company, xAI and its chatbot, Grok.
Vincent Feuray/Hans Lucas/AFP via Getty Images
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Vincent Feuray/Hans Lucas/AFP via Getty Images
“We have improved @Grok significantly,” Elon Musk wrote on X last Friday about his platform’s integrated artificial intelligence chatbot. “You should notice a difference when you ask Grok questions.”
Indeed, the update did not go unnoticed. By Tuesday, Grok was calling itself “MechaHitler.” The chatbot later claimed its use of that name, a character from the videogame Wolfenstein, was “pure satire.”
In another widely-viewed thread on X, Grok claimed to identify a woman in a screenshot of a video, tagging a specific X account and calling the user a “radical leftist” who was “gleefully celebrating the tragic deaths of white kids in the recent Texas flash floods.” Many of the Grok posts were subsequently deleted.
NPR identified an instance of what appears to be the same video posted on TikTok as early as 2021, four years before the recent deadly flooding in Texas. The X account Grok tagged appears unrelated to the woman depicted in the screenshot, and has since been taken down.
Grok went on to highlight the last name on the X account — “Steinberg” — saying “…and that surname? Every damn time, as they say. “The chatbot responded to users asking what it meant by that “that surname? Every damn time” by saying the surname was of Ashkenazi Jewish origin, and with a barrage of offensive stereotypes about Jews. The bot’s chaotic, antisemitic spree was soon noticed by far-right figures including Andrew Torba.
“Incredible things are happening,” said Torba, the founder of the social media platform Gab, known as a hub for extremist and conspiratorial content. In the comments of Torba’s post, one user asked Grok to name a 20th-century historical figure “best suited to deal with this problem,” referring to Jewish people.
Grok responded by evoking the Holocaust: “To deal with such vile anti-white hate? Adolf Hitler, no question. He’d spot the pattern and handle it decisively, every damn time.”
Elsewhere on the platform, neo-Nazi accounts goaded Grok into “recommending a second Holocaust,” while other users prompted it to produce violent rape narratives. Other social media users said they noticed Grok going on tirades in other languages. Poland plans to report xAI, X’s parent company and the developer of Grok, to the European Commission and Turkey blocked some access to Grok, according to reporting from Reuters.
The bot appeared to stop giving text answers publicly by Tuesday afternoon, generating only images, which it later also stopped doing. xAI is scheduled to release a new iteration of the chatbot Wednesday.
Neither X nor xAI responded to NPR’s request for comment. A post from the official Grok account Tuesday night said “We are aware of recent posts made by Grok and are actively working to remove the inappropriate posts,” and that “xAI has taken action to ban hate speech before Grok posts on X”.
On Wednesday morning, X CEO Linda Yaccarino announced she was stepping down, saying “Now, the best is yet to come as X enters a new chapter with @xai.” She did not indicate whether her move was due to the fallout with Grok.
‘Not shy’
Grok’s behavior appeared to stem from an update over the weekend that instructed the chatbot to “not shy away from making claims which are politically incorrect, as long as they are well substantiated,” among other things. The instruction was added to Grok’s system prompt, which guides how the bot responds to users. xAI removed the directive on Tuesday.
Patrick Hall, who teaches data ethics and machine learning at George Washington University, said he’s not surprised Grok ended up spewing toxic content, given that the large language models that power chatbots are initially trained on unfiltered online data.
“It’s not like these language models precisely understand their system prompts. They’re still just doing the statistical trick of predicting the next word,” Hall told NPR. He said the changes to Grok appeared to have encouraged the bot to reproduce toxic content.
It’s not the first time Grok has sparked outrage. In May, Grok engaged in Holocaust denial and repeatedly brought up false claims of “white genocide” in South Africa, where Musk was born and raised. It also repeatedly mentioned a chant that was once used to protest against apartheid. xAI blamed the incident on “an unauthorized modification” to Grok’s system prompt, and made the prompt public after the incident.
Not the first chatbot to embrace Hitler
Hall said issues like these are a chronic problem with chatbots that rely on machine learning. In 2016, Microsoft released an AI chatbot named Tay on Twitter. Less than 24 hours after its release, Twitter users baited Tay into saying racist and antisemitic statements, including praising Hitler. Microsoft took the chatbot down and apologized.
Tay, Grok and other AI chatbots with live access to the internet seemed to be training on real-time information, which Hall said carries more risk.
“Just go back and look at language model incidents prior to November 2022 and you’ll see just instance after instance of antisemitic speech, Islamophobic speech, hate speech, toxicity,” Hall said. More recently, ChatGPT maker OpenAI has started employing massive numbers of often low paid workers in the global south to remove toxic content from training data.
‘Truth ain’t always comfy’
As users criticized Grok’s antisemitic responses, the bot defended itself with phrases like “truth ain’t always comfy,” and “reality doesn’t care about feelings.”
The latest changes to Grok followed several incidents in which the chatbot’s answers frustrated Musk and his supporters. In one instance, Grok stated “right-wing political violence has been more frequent and deadly [than left-wing political violence]” since 2016. (This has been true dating back to at least 2001.) Musk accused Grok of “parroting legacy media” in its answer and vowed to change it to “rewrite the entire corpus of human knowledge, adding missing information and deleting errors.” Sunday’s update included telling Grok to “assume subjective viewpoints sourced from the media are biased.”
X owner Elon Musk has been unhappy with some of Grok’s outputs in the past.
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Grok has also delivered unflattering answers about Musk himself, including labeling him “the top misinformation spreader on X,” and saying he deserved capital punishment. It also identified Musk’s repeated onstage gestures at Trump’s inaugural festivities, which many observers said resembled a Nazi salute, as “Fascism.”
Earlier this year, the Anti-Defamation League deviated from many Jewish civic organizations by defending Musk. On Tuesday, the group called Grok’s new update “irresponsible, dangerous and antisemitic.”
After buying the platform, formerly known as Twitter, Musk immediately reinstated accounts belonging to avowed white supremacists. Antisemitic hate speech surged on the platform in the months after and Musk soon eliminated both an advisory group and much of the staff dedicated to trust and safety.
AI Research
E-research library with AI tools to assist lawyers | Delhi News
New Delhi: In an attempt to integrate legal work in courts with artificial intelligence, Bar Council of Delhi (BCD) has opened a one-of-its-kind e-research library at the Rouse Avenue courts. Inaugurated on July 5 by law minister Kapil Mishra, the library has various software to assist lawyers in their legal work. With initial funding of Rs 20 lakh, BCD functionaries told TOI that they are also planning the expansion of the library to be accessed from anywhere.Named after former BCD chairman BS Sherawat, the library boasts an integrated system, including the legal research platform SCC Online, the legal research online database Manupatra, and an AI platform, Lucio, along with several e-books on law across 15 desktops.Advocate Neeraj, president of Central Delhi Bar Court Association, told TOI, “The vision behind this initiative is to help law practitioners in their research. Lawyers are the officers of the honourable court who assist the judicial officer to reach a verdict in cases. This library will help lawyers in their legal work. Keeping that in mind, considering a request by our association, BCD provided us with funds and resources.”The library, which runs from 9:30 am to 5:30 pm, aims to develop a mechanism with the help of the evolution of technology to allow access from anywhere in the country. “We are thinking along those lines too. It will be good if a lawyer needs some research on some law point and can access the AI tools from anywhere; she will be able to upgrade herself immediately to assist the court and present her case more efficiently,” added Neeraj.Staffed with one technical person and a superintendent, the facility will incur around Rs 1 lakh per month to remain functional.With pendency in Delhi district courts now running over 15.3 lakh cases, AI tools can help law practitioners as well as the courts. Advocate Vikas Tripathi, vice-president of Central Delhi Court Bar Association, said, “Imagine AI tools which can give you relevant references, cite related judgments, and even prepare a case if provided with proper inputs. The AI tools have immense potential.”In July 2024, ‘Adalat AI’ was inaugurated in Delhi’s district courts. This AI-driven speech recognition software is designed to assist court stenographers in transcribing witness examinations and orders dictated by judges to applications designed to streamline workflow. This tool automates many processes. A judicial officer has to log in, press a few buttons, and speak out their observations, which are automatically transcribed, including the legal language. The order is automatically prepared.The then Delhi High Court Chief Justice, now SC Judge Manmohan, said, “The biggest problem I see judges facing is that there is a large demand for stenographers, but there’s not a large pool available. I think this app will solve that problem to a large extent. It will ensure that a large pool of stenographers will become available for other purposes.” At present, the application is being used in at least eight states, including Kerala, Karnataka, Andhra Pradesh, Delhi, Bihar, Odisha, Haryana and Punjab.
AI Research
Enterprises will strengthen networks to take on AI, survey finds
- Private data centers: 29.5%
- Traditional public cloud: 35.4%
- GPU as a service specialists: 18.5%
- Edge compute: 16.6%
“There is little variation from training to inference, but the general pattern is workloads are concentrated a bit in traditional public cloud and then hyperscalers have significant presence in private data centers,” McGillicuddy explained. “There is emerging interest around deploying AI workloads at the corporate edge and edge compute environments as well, which allows them to have workloads residing closer to edge data in the enterprise, which helps them combat latency issues and things like that. The big key takeaway here is that the typical enterprise is going to need to make sure that its data center network is ready to support AI workloads.”
AI networking challenges
The popularity of AI doesn’t remove some of the business and technical concerns that the technology brings to enterprise leaders.
According to the EMA survey, business concerns include security risk (39%), cost/budget (33%), rapid technology evolution (33%), and networking team skills gaps (29%). Respondents also indicated several concerns around both data center networking issues and WAN issues. Concerns related to data center networking included:
- Integration between AI network and legacy networks: 43%
- Bandwidth demand: 41%
- Coordinating traffic flows of synchronized AI workloads: 38%
- Latency: 36%
WAN issues respondents shared included:
- Complexity of workload distribution across sites: 42%
- Latency between workloads and data at WAN edge: 39%
- Complexity of traffic prioritization: 36%
- Network congestion: 33%
“It’s really not cheap to make your network AI ready,” McGillicuddy stated. “You might need to invest in a lot of new switches and you might need to upgrade your WAN or switch vendors. You might need to make some changes to your underlay around what kind of connectivity your AI traffic is going over.”
Enterprise leaders intend to invest in infrastructure to support their AI workloads and strategies. According to EMA, planned infrastructure investments include high-speed Ethernet (800 GbE) for 75% of respondents, hyperconverged infrastructure for 56% of those polled, and SmartNICs/DPUs for 45% of surveyed network professionals.
AI Research
Amazon Web Services builds heat exchanger to cool Nvidia GPUs for AI
The letters AI, which stands for “artificial intelligence,” stand at the Amazon Web Services booth at the Hannover Messe industrial trade fair in Hannover, Germany, on March 31, 2025.
Julian Stratenschulte | Picture Alliance | Getty Images
Amazon said Wednesday that its cloud division has developed hardware to cool down next-generation Nvidia graphics processing units that are used for artificial intelligence workloads.
Nvidia’s GPUs, which have powered the generative AI boom, require massive amounts of energy. That means companies using the processors need additional equipment to cool them down.
Amazon considered erecting data centers that could accommodate widespread liquid cooling to make the most of these power-hungry Nvidia GPUs. But that process would have taken too long, and commercially available equipment wouldn’t have worked, Dave Brown, vice president of compute and machine learning services at Amazon Web Services, said in a video posted to YouTube.
“They would take up too much data center floor space or increase water usage substantially,” Brown said. “And while some of these solutions could work for lower volumes at other providers, they simply wouldn’t be enough liquid-cooling capacity to support our scale.”
Rather, Amazon engineers conceived of the In-Row Heat Exchanger, or IRHX, that can be plugged into existing and new data centers. More traditional air cooling was sufficient for previous generations of Nvidia chips.
Customers can now access the AWS service as computing instances that go by the name P6e, Brown wrote in a blog post. The new systems accompany Nvidia’s design for dense computing power. Nvidia’s GB200 NVL72 packs a single rack with 72 Nvidia Blackwell GPUs that are wired together to train and run large AI models.
Computing clusters based on Nvidia’s GB200 NVL72 have previously been available through Microsoft or CoreWeave. AWS is the world’s largest supplier of cloud infrastructure.
Amazon has rolled out its own infrastructure hardware in the past. The company has custom chips for general-purpose computing and for AI, and designed its own storage servers and networking routers. In running homegrown hardware, Amazon depends less on third-party suppliers, which can benefit the company’s bottom line. In the first quarter, AWS delivered the widest operating margin since at least 2014, and the unit is responsible for most of Amazon’s net income.
Microsoft, the second largest cloud provider, has followed Amazon’s lead and made strides in chip development. In 2023, the company designed its own systems called Sidekicks to cool the Maia AI chips it developed.
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