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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Apu Gomes/Getty Images
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
Accelerating discovery: The NVIDIA H200 and the transformation of university research
The global research landscape is undergoing a seismic shift. Universities worldwide are deploying NVIDIA’s H200 Tensor Core GPUs to power next-generation AI Factories, SuperPODs, and sovereign cloud platforms. This isn’t a theoretical pivot; it’s a real-time transformation redefining what’s possible in scientific discovery, medicine, climate analysis, and advanced education delivery.
The H200 is the most powerful GPU currently available to academia, delivering the performance required to train foundational models, run real-time inference at scale, and enable collaborative AI research across institutions. And with NVIDIA’s Blackwell-based B200 on the horizon, universities investing in H200 infrastructure today are setting themselves up to seamlessly adopt future architectures tomorrow.
Universities powering the AI revolution
This pivotal shift isn’t a future promise but a present reality. Forward-thinking institutions worldwide are already integrating the H200 into their research ecosystems.
Institutions leading the charge include:
- Oregon State University and Georgia Tech in the US, deploying DGX H200 and HGX clusters.
- Taiwan’s NYCU and University of Tokyo, pushing high-performance computing boundaries with DGX and GH200-powered systems.
- Seoul National University, gaining access to a GPU network of over 4,000 H200 units.
- Eindhoven University of Technology in the Netherlands, preparing to adopt DGX B200 infrastructure.
In Taiwan, national programs like NCHC are also investing in HGX H200 supercomputing capacity, making cutting-edge AI infrastructure accessible to researchers at scale.
Closer to home, La Trobe University is the first in Australia to deploy NVIDIA DGX H200 systems. This investment underpins the creation of ACAMI — the Australian Centre for Artificial Intelligence in Medical Innovation — a world-first initiative focused on AI-powered immunotherapies, med-tech, and cancer vaccine development.
It’s a leap that’s not only bolstering research output and commercial partnerships but also positioning La Trobe as a national leader in AI education and responsible deployment.
Universities like La Trobe are establishing themselves as part of a growing global network of AI research precincts, from Princeton’s open generative AI initiative to Denmark’s national AI supercomputer, Gefion. The question for others is no longer “if”, but “how fast?”
Redefining the campus: How H200 AI infrastructure transforms every discipline
The H200 isn’t just for computer science. Its power is unlocking breakthroughs across:
- Climate science: hyper-accurate modelling for mitigation and prediction
- Medical research: from genomics to diagnostics to drug discovery
- Engineering and material sciences: AI-optimised simulations at massive scale
- Law and digital ethics: advancing policy frameworks for responsible AI use
- Indigenous language preservation: advanced linguistic analysis and voice synthesis
- Adaptive education: AI-driven, personalised learning pathways
- Economic modelling: dynamic forecasts and decision support
- Civic AI: real-time, data-informed public service improvements
AI infrastructure is now central to the entire university mission — from discovery and education to innovation and societal impact.
Positioning Australia in the global AI race
La Trobe’s deployment is more than a research milestone — it supports the national imperative to build sovereign AI capability. Australian companies like Sharon AI and ResetData are also deploying sovereign H200 superclusters, now accessible to universities via cloud or direct partnerships.
Universities that move early unlock more than infrastructure. They strengthen research impact, gain eligibility for key AI grants, and help shape Australia’s leadership on the global AI stage.
NEXTDC indispensable role: The foundation for AI innovation
Behind many of these deployments is NEXTDC, Australia’s data centre leader and enabler of sovereign, scalable, and sustainable AI infrastructure.
NEXTDC is already:
- Hosting Sharon AI’s H200 supercluster in Melbourne in a high-density, DGX-certified, liquid-cooled facility
- Delivering ultra-low latency connectivity via the AXON fabric — essential for orchestrating federated learning, distributed training, and multi-institutional research
- Offering rack-ready infrastructure for up to 600kW+, with liquid and immersion cooling on the roadmap
- Enabling cross-border collaboration with facilities across every Australian capital and proximity to international subsea cable landings
The Cost of inaction: why delay is not an option in the AI race
The global AI race is accelerating fast, and for university leaders, the risk of falling behind is real and immediate. Hesitation in deploying advanced AI infrastructure could lead to lasting disadvantages across five critical areas:
- Grant competitiveness: Top-tier research funding increasingly requires access to state-of-the-art AI compute platforms.
- Research rankings: Leading publication output and global standing rely on infrastructure that enables high-throughput, data-intensive AI research.
- Talent attraction: Students want practical experience with cutting-edge tools. Institutions that can’t provide this will struggle to attract top talent.
- Faculty recruitment: The best AI researchers will favour universities with robust infrastructure that supports their work.
- Innovation and commercialisation: Without high-performance GPUs, universities risk slowing their ability to generate start-ups, patents, and economic returns.
Global counterparts are already deploying H100/H200 infrastructure and launching sovereign AI programs. The infrastructure gap is widening fast.
Now is the time to act—lead, don’t lag.
The universities that invest today won’t just stay competitive. They’ll define the future of AI research and discovery.
NEXTDC
What this means for your institution
For Chancellors, Deans, CTOs and CDOs, the message is clear: the global AI race is accelerating. Delay means risking:
- Lower grant competitiveness
- Declining global research rankings
- Talent loss among students and faculty
- Missed innovation and commercialisation opportunities
The infrastructure gap is widening — and it won’t wait.
Ready to lead?
The universities that act now will shape the future. Whether it’s training trillion-parameter LLMs, powering breakthrough medical research, or leading sovereign AI initiatives, H200-grade infrastructure is the foundation.
NEXTDC is here to help you build it.
Want to explore the full article?
Read the complete breakdown of the H200-powered university revolution and how NEXTDC is enabling it: Click here.
AI Research
Avalara unveils AI assistant Avi to simplify complex tax research
Avalara has announced the launch of Avi for Tax Research, a generative AI assistant embedded within Avalara Tax Research (ATR), aimed at supporting tax and trade professionals with immediate, reliable responses to complex tax law queries.
Avi for Tax Research draws on Avalara’s extensive library of tax content to provide users with rapid, comprehensive answers regarding the tax status of products, audit risk, and precise sales tax rates for specific addresses.
Capabilities outlined
The AI assistant offers several features to advance the workflow of tax and trade professionals.
Among its core capabilities, Avi for Tax Research allows users to instantly verify the taxability of products and services through straightforward queries. The tool delivers responses referencing Avalara’s comprehensive tax database, aiming to ensure both speed and reliability in answering enquiries.
Additional support includes access to up-to-date official guidance to help mitigate audit risks and reinforce defensible tax positions. By providing real-time insights, professionals can proactively adapt to changes in tax regulations without needing to perform extensive manual research.
For businesses operating across multiple locations, Avi for Tax Research enables the generation of precise, rooftop-level sales tax rates tailored to individual street addresses, which can improve compliance accuracy to the level of local jurisdiction requirements.
Designed for ease of use
The assistant is built with an intuitive conversational interface intended to be accessible to professionals across departments, including those lacking a formal tax background.
According to Avalara, this functionality should help improve operational efficiency and collaboration by reducing the skills barrier usually associated with tax research.
Avalara’s EVP and Chief Technology Officer, Danny Fields, described the new capabilities in the context of broader industry trends.
“The tax compliance industry is at the dawn of unprecedented innovation driven by rapid advancements in AI,” said Danny Fields, EVP and Chief Technology Officer of Avalara. “Avalara’s technology mission is to equip customers with reliable, intuitive tools that simplify their work and accelerate business outcomes.”
The company attributes Avi’s capabilities to its two decades of tax and compliance experience, which inform the AI’s underlying content and context-specific decision making. By making use of Avalara’s metadata, the solution is intended to shorten the time spent on manual analysis, offering instant and trusted answers to user questions and potentially allowing compliance teams to allocate more time to business priorities.
Deployment and access
The tool is available immediately to existing ATR customers without additional setup.
New customers have the opportunity to explore Avi for Tax Research through a free trial, which Avalara states is designed to reduce manual effort and deliver actionable information for tax research. Customers can use the AI assistant to submit tax compliance research questions and receive instant responses tailored to their requirements.
Avalara delivers technology aimed at supporting over 43,000 business and government customers across more than 75 countries, providing tax compliance solutions that integrate with leading eCommerce, ERP, and billing systems.
The release of Avi for Tax Research follows continued developments in AI applications for business compliance functions, reflecting the increasing demand for automation and accuracy in global tax and trade environments.
AI Research
Tenable Research Warns of Critical AI Tool Vulnerability That Requires Immediate Attention [CVE-2025-49596]
GUEST RESEARCH: Tenable Research has identified a critical remote code execution vulnerability (CVE-2025-49596) in Anthropic’s widely adopted MCP Inspector, an open-source tool crucial for AI development. With a CVSS score of 9.4, this flaw leverages default, insecure configurations, leaving organisations exposed by design. MCP Inspector is a popular tool with over 38,000 weekly downloads on npmjs and more than 4,000 stars on GitHub.
Exploitation is alarmingly simple. A visit to a malicious website can fully compromise a workstation, requiring no further user interaction. Attackers can gain persistent access, steal sensitive data, including credentials and intellectual property, and enable lateral movement or deploy malware.
“Immediate action is non-negotiable”, says Rémy Marot, Staff Research Engineer at Tenable. “Security teams and developers should upgrade MCP Inspector to version 0.14.1 or later. This update enforces authentication, binds services to localhost, and restricts trusted origins, closing critical attack vectors. Prioritise robust security policies before deploying AI tools to mitigate these inherent risks.”
For in-depth information about this research, please refer to the detailed blog post published by Tenable’s Research Team.
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