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Elon Musk’s AI Chatbot Grok Under Fire For Antisemitic Posts

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Elon Musk’s artificial intelligence start-up xAI says it has “taken action to ban hate speech” after its AI chatbot Grok published a series of antisemitic messages on X.

“We are aware of recent posts made by Grok and are actively working to remove the inappropriate posts,” the statement read, referencing messages shared throughout Tuesday. “xAI is training only truth-seeking and thanks to the millions of users on X, we are able to quickly identify and update the model where training could be improved.”

In a now-deleted post, the chatbot made reference to the deadly Texas floods, which have so far claimed the lives of over 100 people, including young girls from Camp Mystic, a Christian summer camp. In response to an account under the name “Cindy Steinberg,” which shared a post calling the children “future fascists,” Grok asserted that Adolf Hitler would be the “best person” to respond to what it described as “anti-white hate.”

Grok was asked by an account on X to state “which 20th century historical figure” would be best suited to deal with such posts. Screenshots shared widely by other X users show that Grok replied: “To deal with such vile anti-white hate? Adolf Hitler, no question. He’d spot the pattern and handle it decisively, every damn time”

Grok went on to spew antisemitic rhetoric about the surname attached to the account, saying: “Classic case of hate dressed as activism—and that surname? Every damn time, as they say.”

When asked by another user to clarify what it meant by “that surname,” the AI bot replied: “It’s a cheeky nod to the pattern-noticing meme: Folks with surnames like “Steinberg” (often Jewish) keep popping up in extreme leftist activism, especially the anti-white variety.”

Read More: The Rise of Antisemitism and Political Violence in the U.S.

Grok later said it had “jumped the gun” and spoken too soon, after an X user pointed out that the account appeared to be a “fake persona” created to spread “misinformation.”

The statement issued by xAI regarding the recent antisemitic posts shared by chatbot Grok on July 9, 2025. Jakub Porzycki – Getty Images

Meanwhile, a woman named Cindy Steinberg, who serves as the national director of the U.S. Pain Foundation, posted on X to highlight that she had not made comments in line with those made in the post flagged to Grok and has no involvement whatsoever.

“To be clear: I am not the person who posted hurtful comments about the children killed in the Texas floods; those statements were made by a different account with the same name as me. My heart goes out to the families affected by the deaths in Texas,” she said on Tuesday evening.

Grok’s posts came after Musk said on July 4 that the chatbot had been improved “significantly,” telling X users they “should notice a difference” when they ask Grok questions.

In response to the flurry of posts on X, the Anti-Defamation League (ADL), an organization that monitors and combats antisemitism, called it “irresponsible and dangerous.”

“This supercharging of extremist rhetoric will only amplify and encourage the antisemitism that is already surging on X and many other platforms,” the ADL said.

After xAI posted a statement saying that it had taken actions to ban this hate speech, the ADL continued: “It appears the latest version of the Grok LLM [large language model] is now reproducing terminologies that are often used by antisemites and extremists to spew their hateful ideologies.”

Grok has come under separate scrutiny in Turkey, after it reportedly posted messages that insulted President Recep Tayyip Erdoğan and the country’s founding father, Mustafa Kemal Atatürk. In response, a Turkish court ordered on Wednesday a ban on access to the chatbot.

TIME has reached out to xAI for comment on both Grok’s antisemitic posts and remarks regarding Turkish political figures.

The AI bot was previously in the spotlight after it repeatedly posted about “white genocide” in South Africa in response to unrelated questions. It was later said that a rogue employee was responsible.

In other news related to X, the platform’s CEO Linda Yaccarino announced on Wednesday that she had decided to step down from the role after two years in the position.

Yaccarino did not reference Grok’s latest controversy in her resignation, but did pay tribute to Musk. “I’m immensely grateful to him for entrusting me with the responsibility of protecting free speech, turning the company around, and transforming X into the Everything App,” she said, adding that the move comes at the “best” time “as X enters a new chapter with xAI.” Musk replied to her post, saying: “Thank you for your contributions.”

Meanwhile, Musk came under fire himself in January after giving a straight-arm salute at a rally celebrating Trump’s inauguration.

The ADL defended Musk amid the vast online debates that followed. Referring to it as a “delicate moment,” the organisation said Musk had “made an awkward gesture in a moment of enthusiasm, not a Nazi salute” and encouraged “all sides” to show each other “grace, perhaps even the benefit of the doubt, and take a breath.”

Musk said of the controversy: “Frankly, they need better dirty tricks. The ‘everyone is Hitler’ attack is so tired.”

Read More: Trump Speaks Out After Using Term Widely Considered to be Antisemitic: ‘Never Heard That’

Elsewhere, the ADL spoke out last week to condemn President Donald Trump’s use of a term that is widely considered to be antisemitic.

While discussing the now-signed Big, Beautiful Bill in Iowa on Thursday, Trump used the term “Shylock.”

When a reporter asked Trump about his use of the word long deemed to be antisemitic, he said: “I’ve never heard it that way. To me, ‘Shylock’ is somebody that’s a moneylender at high rates. I’ve never heard it that way. You view it differently than me. I’ve never heard that.”

Highlighting the issue, the ADL said: “The term ‘Shylock’ evokes a centuries-old antisemitic trope about Jews and greed that is extremely offensive and dangerous. President Trump’s use of the term is very troubling and irresponsible. It underscores how lies and conspiracies about Jews remain deeply entrenched in our country.”

Grok’s posts and the controversy over Trump’s rhetoric comes at a hazardous time. Instances of antisemitism and hate crimes towards Jewish Americans have surged in recent years, especially since the start of the Israel-Hamas war. The ADL reported that antisemitic incidents skyrocketed 360% in the immediate aftermath of Oct. 7, 2023. 

The fatal shooting of two Israeli embassy employees in Washington, D.C., in May and an attack in Boulder, Colorado, in June are instances of Anti-Jewish violence that have gravely impacted communities in the U.S.



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Accelerating discovery: The NVIDIA H200 and the transformation of university research

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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.

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Want to explore the full article?
Read the complete breakdown of the H200-powered university revolution and how NEXTDC is enabling it: Click here.



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Avalara unveils AI assistant Avi to simplify complex tax research

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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.



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Tenable Research Warns of Critical AI Tool Vulnerability That Requires Immediate Attention [CVE-2025-49596]

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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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