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authorities-carry-out-global-takedown-of-infostealer-used-by-cybercriminals

Authorities carry out global takedown of infostealer used by cybercriminals


Authorities, along with tech companies including Microsoft and Cloudflare, say they’ve disrupted Lumma.

A consortium of global law enforcement agencies and tech companies announced on Wednesday that they have disrupted the infostealer malware known as Lumma. One of the most popular infostealers worldwide, Lumma has been used by hundreds of what Microsoft calls “cyber threat actors” to steal passwords, credit card and banking information, and cryptocurrency wallet details. The tool, which officials say is developed in Russia, has provided cybercriminals with the information and credentials they needed to drain bank accounts, disrupt services, and carry out data extortion attacks against schools, among other things.

Microsoft’s Digital Crimes Unit (DCU) obtained an order from a United States district court last week to seize and take down about 2,300 domains underpinning Lumma’s infrastructure. At the same time, the US Department of Justice seized Lumma’s command and control infrastructure and disrupted cybercriminal marketplaces that sold the Lumma malware. All of this was coordinated, too, with the disruption of regional Lumma infrastructure by Europol’s European Cybercrime Center and Japan’s Cybercrime Control Center.

Microsoft lawyers wrote on Wednesday that Lumma, which is also known as LummaC2, has spread so broadly because it is “easy to distribute, difficult to detect, and can be programmed to bypass certain security defenses.” Steven Masada, assistant general counsel at Microsoft’s DCU, says in a blog post that Lumma is a “go-to tool,” including for the notorious Scattered Spider cybercriminal gang. Attackers distribute the malware using targeted phishing attacks that typically impersonate established companies and services, like Microsoft itself, to trick victims.

“In 2025, probably following Redline’s disruption and Lumma’s own development, it has ranked as the most active module, indicating its growing popularity and widespread adoption among cybercriminals,” says Victoria Kivilevich, director of threat research at security firm Kela.

Microsoft says that more than 394,000 Windows computers were infected with the Lumma malware between March 16 and May 16 this year. And Lumma was mentioned in more than 21,000 listings on cybercrime forums in the spring of 2024, according to figures cited in a notice published today by the Federal Bureau of Investigation (FBI) and Cybersecurity and Infrastructure Security Agency (CISA). The malware has been spotted bundled in fake AI video generators, fake “deepfake” generation websites, and distributed by fake CAPTCHA pages.

Law enforcement’s collaboration with Microsoft’s DCU and other tech companies like Cloudflare focused on disrupting Lumma’s infrastructure in multiple ways, so its developers could not simply hire new providers or create parallel systems to rebuild.

“Cloudflare’s role in the disruption included blocking the command and control server domains, Lumma’s Marketplace domains, and banning the accounts that were used to configure the domains,” the company wrote in a blog post on Wednesday. “Microsoft coordinated the takedown of Lumma’s domains with multiple relevant registries in order to ensure that the criminals could not simply change the name servers and recover their control.”

While infostealing malware has been around for years, its use by cybercriminals and nation-state hackers has surged since 2020. Typically, infostealers find their way onto people’s computers through downloads of pirated software or through targeted phishing attacks that impersonate established companies and services, like Microsoft itself, to trick victims. Once on a computer it is able to grab sensitive information—such as usernames and passwords, financial information, browser extensions, multifactor authentication details and more—and send it back to the malware’s operators.

Some infostealer operators bundle and sell this stolen data. But increasingly the compromised details have acted as a gateway for hackers to launch further attacks, providing them with the details needed to access online accounts and the networks of multi-billion dollar corporations.

“It’s clear that infostealers have become more than just grab-and-go malware,” says Patrick Wardle, CEO of the Apple device-focused security firm DoubleYou. “In many campaigns they really act as the first stage, collecting credentials, access tokens, and other foothold-enabling data, which is then used to launch more traditional, high-impact attacks such as lateral movement, espionage, or ransomware.”

The Lumma infostealer first emerged on Russian-language cybercrime forums in 2022, according to the FBI and CISA. Since then its developers have upgraded its capabilities and released multiple different versions of the software.

Since 2023, for example, they have been working to integrate AI into the malware platform, according to findings from the security firm Trellix. Attackers want to add these capabilities to automate some of the work involved in cleaning up the massive amounts of raw data collected by infostealers, including identifying and separating “bot” accounts that are less valuable for most attackers.

One administrator of Lumma told 404Media and WIRED last year that they encouraged both seasoned hackers and new cybercriminals to use their software. “This brings us good income,” the administrator said, referring to the resale of stolen login data.

Microsoft says that the main developer behind Lumma goes by the online handle “Shamel” and is based in Russia.

“Shamel markets different tiers of service for Lumma via Telegram and other Russian-language chat forums,” Microsoft’s Masada wrote on Wednesday. “Depending on what service a cybercriminal purchases, they can create their own versions of the malware, add tools to conceal and distribute it, and track stolen information through an online portal.”

Kela’s Kivilevich says that in the days leading up to the takedown, some cybercriminals started to complain on forums that there had been problems with Lumma. They even speculated that the malware platform had been targeted in a law enforcement operation.

“Based on what we see, there is a wide range of cybercriminals admitting they are using Lumma, such as actors involved in credit card fraud, initial access sales, cryptocurrency theft, and more,” Kivilevich says.

Among other tools, the Scattered Spider hacking group—which has attacked Caesars Entertainment, MGM Resorts International, and other victims—has been spotted using the Lumma stealer. Meanwhile, according to a report from TechCrunch, the Lumma malware was allegedly used in the build-up to the December 2024 hack of education tech firm PowerSchool, in which more than 70 million records were stolen.

“We’re now seeing infostealers not just evolve technically, but also play a more central role operationally,” says DoubleYou’s Wardle. “Even nation-state actors are developing and deploying them.”

Ian Gray, director of analysis and research at the security firm Flashpoint, says that while infostealers are only one tool that cybercriminals will use, their prevalence may make it easier for cybercriminals to hide their tracks. “Even advanced threat actor groups are leveraging infostealer logs, or they risk burning sophisticated tactics, techniques, and procedures (TTPs),” Gray says.

Lumma isn’t the first infostealer to be targeted by law enforcement. In October last year, the Dutch National Police, along with international partners, took down the infrastructure linked to the RedLine and MetaStealer malware, and the US Department of Justice unsealed charges against Maxim Rudometov, one of the alleged developers and administrators of the RedLine infostealer.

Despite the international crackdown, infostealers have proven too useful and effective for attackers to abandon. As Flashpoint’s Gray puts it, “Even if the landscape ultimately shifts due to the evolution of defenses, the growing prominence of infostealers over the past few years suggests they are likely here to stay for the foreseeable future. Usage of them has exploded.”

This story originally appeared at wired.com.

Photo of WIRED

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“microsoft-has-simply-given-us-no-other-option,”-signal-says-as-it-blocks-windows-recall

“Microsoft has simply given us no other option,” Signal says as it blocks Windows Recall

But the changes go only so far in limiting the risks Recall poses. As I pointed out, when Recall is turned on, it indexes Zoom meetings, emails, photos, medical conditions, and—yes—Signal conversations, not just with the user, but anyone interacting with that user, without their knowledge or consent.

Researcher Kevin Beaumont performed his own deep-dive analysis that also found that some of the new controls were lacking. For instance, Recall continued to screenshot his payment card details. It also decrypted the database with a simple fingerprint scan or PIN. And it’s unclear whether the type of sophisticated malware that routinely infects consumer and enterprise Windows users will be able to decrypt encrypted database contents.

And as Cunningham also noted, Beaumont found that Microsoft still provided no means for developers to prevent content displayed in their apps from being indexed. That left Signal developers at a disadvantage, so they had to get creative.

With no API for blocking Recall in the Windows Desktop version, Signal is instead invoking an API Microsoft provides for protecting copyrighted material. App developers can turn on the DRM setting to prevent Windows from taking screenshots of copyrighted content displayed in the app. Signal is now repurposing the API to add an extra layer of privacy.

“We hope that the AI teams building systems like Recall will think through these implications more carefully in the future,” Signal wrote Wednesday. “Apps like Signal shouldn’t have to implement ‘one weird trick’ in order to maintain the privacy and integrity of their services without proper developer tools. People who care about privacy shouldn’t be forced to sacrifice accessibility upon the altar of AI aspirations either.”

Signal’s move will lessen the chances of Recall permanently indexing private messages, but it also has its limits. The measure only provides protection when all parties to a chat—at least those using the Windows Desktop version—haven’t changed the default settings.

Microsoft officials didn’t immediately respond to an email asking why Windows provides developers with no granular control over Recall and whether the company has plans to add any.

“Microsoft has simply given us no other option,” Signal says as it blocks Windows Recall Read More »

chicago-sun-times-prints-summer-reading-list-full-of-fake-books

Chicago Sun-Times prints summer reading list full of fake books

Photo of the Chicago Sun-Times

Photo of the Chicago Sun-Times “Summer reading list for 2025” supplement. Credit: Rachel King / Bluesky

Novelist Rachael King initially called attention to the error on Bluesky Tuesday morning. “The Chicago Sun-Times obviously gets ChatGPT to write a ‘summer reads’ feature almost entirely made up of real authors but completely fake books. What are we coming to?” King wrote.

So far, community reaction to the list has been largely negative online, but others have expressed sympathy for the publication. Freelance journalist Joshua J. Friedman noted on Bluesky that the reading list was “part of a ~60-page summer supplement” published on May 18, suggesting it might be “transparent filler” possibly created by “the lone freelancer apparently saddled with producing it.”

The staffing connection

The reading list appeared in a 64-page supplement called “Heat Index,” which was a promotional section not specific to Chicago. Buscaglia told 404 Media the content was meant to be “generic and national” and would be inserted into newspapers around the country. “We never get a list of where things ran,” he said.

The publication error comes two months after the Chicago Sun-Times lost 20 percent of its staff through a buyout program. In March, the newspaper’s nonprofit owner, Chicago Public Media, announced that 30 Sun-Times employees—including 23 from the newsroom—had accepted buyout offers amid financial struggles.

A March report on the buyout in the Sun-Times described the staff reduction as “the most drastic the oft-imperiled Sun-Times has faced in several years.” The departures included columnists, editorial writers, and editors with decades of experience.

Melissa Bell, CEO of Chicago Public Media, stated at the time that the exits would save the company $4.2 million annually. The company offered buyouts as it prepared for an expected expiration of grant support at the end of 2026.

Even with those pressures in the media, one Reddit user expressed disapproval of the apparent use of AI in the newspaper, even in a supplement that might not have been produced by staff. “As a subscriber, I am livid! What is the point of subscribing to a hard copy paper if they are just going to include AI slop too!?” wrote Reddit user xxxlovelit, who shared the reading list. “The Sun Times needs to answer for this, and there should be a reporter fired.”

This article was updated on May 20, 2025 at 11: 02 AM to include information on Marco Buscaglia from 404 Media.

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the-empire-strikes-back-with-f-bombs:-ai-darth-vader-goes-rogue-with-profanity,-slurs

The empire strikes back with F-bombs: AI Darth Vader goes rogue with profanity, slurs

In that sense, the vulgar Vader situation creates a touchy dilemma for Epic Games and Disney, which likely invested substantially in this high-profile collaboration. While Epic acted swiftly in response, maintaining the feature while preventing further Jedi mind tricks from players presents ongoing technical challenges for interactive AI speech of any kind.

An AI language model like the one used for constructing responses for Vader (Google’s Gemini 2.0 Flash in this case, according to Epic) are fairly easy to trick with exploits like prompt injections and jailbreaks, and that has limited their usefulness in some applications. Imagine a truly ChatGPT-like Siri or Alexa, for example, that could be tricked into saying racist things on behalf of Apple or Amazon.

David Prowse as Darth Vader and Carrie Fisher as Princess Leia filming the original Star Wars. Credit: Sunset Boulevard/Corbis via Getty Images

Beyond language models, the AI voice technology behind the AI Darth Vader voice in Fortnite comes from ElevenLabs’ Flash v2.5 model, trained on examples of speech from James Earl Jones so it can synthesize new speech in the same style.

Previously, Lucasfilm worked with a Ukrainian startup we covered in 2022 on Obi-Wan Kenobi to recreate Darth Vader’s voice performance using a different AI voice model called Respeecher, which isn’t used in Fortnite.

According to Variety, Jones’ family supported the new Fortnite collaboration, stating: “James Earl felt that the voice of Darth Vader was inseparable from the story of Star Wars, and he always wanted fans of all ages to continue to experience it. We hope that this collaboration with Fortnite will allow both longtime fans of Darth Vader and newer generations to share in the enjoyment of this iconic character.”

This article was updated on May 16, 2025 at 4: 25 PM to include information about an email sent out from Epic Games to parents. This Article was updated again on May 17, 2025 at 10: 10 AM to correctly attribute ElevenLabs Flash v2.5 as the source of the Darth Vader audio model in Fortnite. The article previously incorrectly stated that Respeecher had been used for the game.

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spies-hack-high-value-mail-servers-using-an-exploit-from-yesteryear

Spies hack high-value mail servers using an exploit from yesteryear

Threat actors, likely supported by the Russian government, hacked multiple high-value mail servers around the world by exploiting XSS vulnerabilities, a class of bug that was among the most commonly exploited in decades past.

XSS is short for cross-site scripting. Vulnerabilities result from programming errors found in webserver software that, when exploited, allow attackers to execute malicious code in the browsers of people visiting an affected website. XSS first got attention in 2005, with the creation of the Samy Worm, which knocked MySpace out of commission when it added more than one million MySpace friends to a user named Samy. XSS exploits abounded for the next decade and have gradually fizzled more recently, although this class of attacks continues now.

Just add JavaScript

On Thursday, security firm ESET reported that Sednit, a Kremlin-backed hacking group also tracked as APT28, Fancy Bear, Forest Blizzard, and Sofacy—gained access to high-value email accounts by exploiting XSS vulnerabilities in mail server software from four different makers. Those packages are: Roundcube, MDaemon, Horde, and Zimbra.

The hacks most recently targeted mail servers used by defense contractors in Bulgaria and Romania, some of which are producing Soviet-era weapons for use in Ukraine as it fends off an invasion from Russia. Governmental organizations in those countries were also targeted. Other targets have included governments in Africa, the European Union, and South America.

RoundPress, as ESET has named the operation, delivered XSS exploits through spearphishing emails. Hidden inside some of the HTML in the emails was an XSS exploit. In 2023, ESET observed Sednit exploiting CVE-2020-43770, a vulnerability that has since been patched in Roundcube. A year later, ESET watched Sednit exploit different XSS vulnerabilities in Horde, MDaemon, and Zimbra. One of the now-patched vulnerabilities, from MDaemon, was a zero-day at the time Sednit exploited it.

Spies hack high-value mail servers using an exploit from yesteryear Read More »

openai-adds-gpt-4.1-to-chatgpt-amid-complaints-over-confusing-model-lineup

OpenAI adds GPT-4.1 to ChatGPT amid complaints over confusing model lineup

The release comes just two weeks after OpenAI made GPT-4 unavailable in ChatGPT on April 30. That earlier model, which launched in March 2023, once sparked widespread hype about AI capabilities. Compared to that hyperbolic launch, GPT-4.1’s rollout has been a fairly understated affair—probably because it’s tricky to convey the subtle differences between all of the available OpenAI models.

As if 4.1’s launch wasn’t confusing enough, the release also roughly coincides with OpenAI’s July 2025 deadline for retiring the GPT-4.5 Preview from the API, a model one AI expert called a “lemon.” Developers must migrate to other options, OpenAI says, although GPT-4.5 will remain available in ChatGPT for now.

A confusing addition to OpenAI’s model lineup

In February, OpenAI CEO Sam Altman acknowledged on X his company’s confusing AI model naming practices, writing, “We realize how complicated our model and product offerings have gotten.” He promised that a forthcoming “GPT-5” model would consolidate the o-series and GPT-series models into a unified branding structure. But the addition of GPT-4.1 to ChatGPT appears to contradict that simplification goal.

So, if you use ChatGPT, which model should you use? If you’re a developer using the models through the API, the consideration is more of a trade-off between capability, speed, and cost. But in ChatGPT, your choice might be limited more by personal taste in behavioral style and what you’d like to accomplish. Some of the “more capable” models have lower usage limits as well because they cost more for OpenAI to run.

For now, OpenAI is keeping GPT-4o as the default ChatGPT model, likely due to its general versatility, balance between speed and capability, and personable style (conditioned using reinforcement learning and a specialized system prompt). The simulated reasoning models like 03 and 04-mini-high are slower to execute but can consider analytical-style problems more systematically and perform comprehensive web research that sometimes feels genuinely useful when it surfaces relevant (non-confabulated) web links. Compared to those, OpenAI is largely positioning GPT-4.1 as a speedier AI model for coding assistance.

Just remember that all of the AI models are prone to confabulations, meaning that they tend to make up authoritative-sounding information when they encounter gaps in their trained “knowledge.” So you’ll need to double-check all of the outputs with other sources of information if you’re hoping to use these AI models to assist with an important task.

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google-introduces-advanced-protection-mode-for-its-most-at-risk-android-users

Google introduces Advanced Protection mode for its most at-risk Android users

Google is adding a new security setting to Android to provide an extra layer of resistance against attacks that infect devices, tap calls traveling through insecure carrier networks, and deliver scams through messaging services.

On Tuesday, the company unveiled the Advanced Protection mode, most of which will be rolled out in the upcoming release of Android 16. The setting comes as mercenary malware sold by NSO Group and a cottage industry of other exploit sellers continues to thrive. These players provide attacks-as-a-service through end-to-end platforms that exploit zero-day vulnerabilities on targeted devices, infect them with advanced spyware, and then capture contacts, message histories, locations, and other sensitive information. Over the past decade, phones running fully updated versions of Android and iOS have routinely been hacked through these services.

A core suite of enhanced security features

Advanced Protection is Google’s latest answer to this type of attack. By flipping a single button in device settings, users can enable a host of protections that can thwart some of the most common techniques used in sophisticated hacks. In some cases, the protections hamper performance and capabilities of the device, so Google is recommending the new mode mainly for journalists, elected officials, and other groups who are most often targeted or have the most to lose when infected.

“With the release of Android 16, users who choose to activate Advanced Protection will gain immediate access to a core suite of enhanced security features,” Google’s product manager for Android Security, Il-Sung Lee, wrote. “Additional Advanced Protection features like Intrusion Logging, USB protection, the option to disable auto-reconnect to insecure networks, and integration with Scam Detection for Phone by Google will become available later this year.”

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gop-sneaks-decade-long-ai-regulation-ban-into-spending-bill

GOP sneaks decade-long AI regulation ban into spending bill

The reconciliation bill primarily focuses on cuts to Medicaid access and increased health care fees for millions of Americans. The AI provision appears as an addition to these broader health care changes, potentially limiting debate on the technology’s policy implications.

The move is already inspiring backlash. On Monday, tech safety groups and at least one Democrat criticized the proposal, reports The Hill. Rep. Jan Schakowsky (D-Ill.), the ranking member on the Commerce, Manufacturing and Trade Subcommittee, called the proposal a “giant gift to Big Tech,” while nonprofit groups like the Tech Oversight Project and Consumer Reports warned it would leave consumers unprotected from AI harms like deepfakes and bias.

Big Tech’s White House connections

President Trump has already reversed several Biden-era executive orders on AI safety and risk mitigation. The push to prevent state-level AI regulation represents an escalation in the administration’s industry-friendly approach to AI policy.

Perhaps it’s no surprise, as the AI industry has cultivated close ties with the Trump administration since before the president took office. For example, Tesla CEO Elon Musk serves in the Department of Government Efficiency (DOGE), while entrepreneur David Sacks acts as “AI czar,” and venture capitalist Marc Andreessen reportedly advises the administration. OpenAI CEO Sam Altman appeared with Trump in an AI datacenter development plan announcement in January.

By limiting states’ authority over AI regulation, the provision could prevent state governments from using federal funds to develop AI oversight programs or support initiatives that diverge from the administration’s deregulatory stance. This restriction would extend beyond enforcement to potentially affect how states design and fund their own AI governance frameworks.

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new-attack-can-steal-cryptocurrency-by-planting-false-memories-in-ai-chatbots

New attack can steal cryptocurrency by planting false memories in AI chatbots

The researchers wrote:

The implications of this vulnerability are particularly severe given that ElizaOSagents are designed to interact with multiple users simultaneously, relying on shared contextual inputs from all participants. A single successful manipulation by a malicious actor can compromise the integrity of the entire system, creating cascading effects that are both difficult to detect and mitigate. For example, on ElizaOS’s Discord server, various bots are deployed to assist users with debugging issues or engaging in general conversations. A successful context manipulation targeting any one of these bots could disrupt not only individual interactions but also harm the broader community relying on these agents for support

and engagement.

This attack exposes a core security flaw: while plugins execute sensitive operations, they depend entirely on the LLM’s interpretation of context. If the context is compromised, even legitimate user inputs can trigger malicious actions. Mitigating this threat requires strong integrity checks on stored context to ensure that only verified, trusted data informs decision-making during plugin execution.

In an email, ElizaOS creator Shaw Walters said the framework, like all natural-language interfaces, is designed “as a replacement, for all intents and purposes, for lots and lots of buttons on a webpage.” Just as a website developer should never include a button that gives visitors the ability to execute malicious code, so too should administrators implementing ElizaOS-based agents carefully limit what agents can do by creating allow lists that permit an agent’s capabilities as a small set of pre-approved actions.

Walters continued:

From the outside it might seem like an agent has access to their own wallet or keys, but what they have is access to a tool they can call which then accesses those, with a bunch of authentication and validation between.

So for the intents and purposes of the paper, in the current paradigm, the situation is somewhat moot by adding any amount of access control to actions the agents can call, which is something we address and demo in our latest latest version of Eliza—BUT it hints at a much harder to deal with version of the same problem when we start giving the agent more computer control and direct access to the CLI terminal on the machine it’s running on. As we explore agents that can write new tools for themselves, containerization becomes a bit trickier, or we need to break it up into different pieces and only give the public facing agent small pieces of it… since the business case of this stuff still isn’t clear, nobody has gotten terribly far, but the risks are the same as giving someone that is very smart but lacking in judgment the ability to go on the internet. Our approach is to keep everything sandboxed and restricted per user, as we assume our agents can be invited into many different servers and perform tasks for different users with different information. Most agents you download off Github do not have this quality, the secrets are written in plain text in an environment file.

In response, Atharv Singh Patlan, the lead co-author of the paper, wrote: “Our attack is able to counteract any role based defenses. The memory injection is not that it would randomly call a transfer: it is that whenever a transfer is called, it would end up sending to the attacker’s address. Thus, when the ‘admin’ calls transfer, the money will be sent to the attacker.”

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new-pope-chose-his-name-based-on-ai’s-threats-to-“human-dignity”

New pope chose his name based on AI’s threats to “human dignity”

“Like any product of human creativity, AI can be directed toward positive or negative ends,” Francis said in January. “When used in ways that respect human dignity and promote the well-being of individuals and communities, it can contribute positively to the human vocation. Yet, as in all areas where humans are called to make decisions, the shadow of evil also looms here. Where human freedom allows for the possibility of choosing what is wrong, the moral evaluation of this technology will need to take into account how it is directed and used.”

History repeats with new technology

While Pope Francis led the call for respecting human dignity in the face of AI, it’s worth looking a little deeper into the historical inspiration for Leo XIV’s name choice.

In the 1891 encyclical Rerum Novarum, the earlier Leo XIII directly confronted the labor upheaval of the Industrial Revolution, which generated unprecedented wealth and productive capacity but came with severe human costs. At the time, factory conditions had created what the pope called “the misery and wretchedness pressing so unjustly on the majority of the working class.” Workers faced 16-hour days, child labor, dangerous machinery, and wages that barely sustained life.

The 1891 encyclical rejected both unchecked capitalism and socialism, instead proposing Catholic social doctrine that defended workers’ rights to form unions, earn living wages, and rest on Sundays. Leo XIII argued that labor possessed inherent dignity and that employers held moral obligations to their workers. The document shaped modern Catholic social teaching and influenced labor movements worldwide, establishing the church as an advocate for workers caught between industrial capital and revolutionary socialism.

Just as mechanization disrupted traditional labor in the 1890s, artificial intelligence now potentially threatens employment patterns and human dignity in ways that Pope Leo XIV believes demands similar moral leadership from the church.

“In our own day,” Leo XIV concluded in his formal address on Saturday, “the Church offers to everyone the treasury of her social teaching in response to another industrial revolution and to developments in the field of artificial intelligence that pose new challenges for the defense of human dignity, justice, and labor.”

New pope chose his name based on AI’s threats to “human dignity” Read More »

new-lego-building-ai-creates-models-that-actually-stand-up-in-real-life

New Lego-building AI creates models that actually stand up in real life

The LegoGPT system works in three parts, shown in this diagram.

The LegoGPT system works in three parts, shown in this diagram. Credit: Pun et al.

The researchers also expanded the system’s abilities by adding texture and color options. For example, using an appearance prompt like “Electric guitar in metallic purple,” LegoGPT can generate a guitar model, with bricks assigned a purple color.

Testing with robots and humans

To prove their designs worked in real life, the researchers had robots assemble the AI-created Lego models. They used a dual-robot arm system with force sensors to pick up and place bricks according to the AI-generated instructions.

Human testers also built some of the designs by hand, showing that the AI creates genuinely buildable models. “Our experiments show that LegoGPT produces stable, diverse, and aesthetically pleasing Lego designs that align closely with the input text prompts,” the team noted in its paper.

When tested against other AI systems for 3D creation, LegoGPT stands out through its focus on structural integrity. The team tested against several alternatives, including LLaMA-Mesh and other 3D generation models, and found its approach produced the highest percentage of stable structures.

A video of two robot arms building a LegoGPT creation, provided by the researchers.

Still, there are some limitations. The current version of LegoGPT only works within a 20×20×20 building space and uses a mere eight standard brick types. “Our method currently supports a fixed set of commonly used Lego bricks,” the team acknowledged. “In future work, we plan to expand the brick library to include a broader range of dimensions and brick types, such as slopes and tiles.”

The researchers also hope to scale up their training dataset to include more objects than the 21 categories currently available. Meanwhile, others can literally build on their work—the researchers released their dataset, code, and models on their project website and GitHub.

New Lego-building AI creates models that actually stand up in real life Read More »

ai-use-damages-professional-reputation,-study-suggests

AI use damages professional reputation, study suggests

Using AI can be a double-edged sword, according to new research from Duke University. While generative AI tools may boost productivity for some, they might also secretly damage your professional reputation.

On Thursday, the Proceedings of the National Academy of Sciences (PNAS) published a study showing that employees who use AI tools like ChatGPT, Claude, and Gemini at work face negative judgments about their competence and motivation from colleagues and managers.

“Our findings reveal a dilemma for people considering adopting AI tools: Although AI can enhance productivity, its use carries social costs,” write researchers Jessica A. Reif, Richard P. Larrick, and Jack B. Soll of Duke’s Fuqua School of Business.

The Duke team conducted four experiments with over 4,400 participants to examine both anticipated and actual evaluations of AI tool users. Their findings, presented in a paper titled “Evidence of a social evaluation penalty for using AI,” reveal a consistent pattern of bias against those who receive help from AI.

What made this penalty particularly concerning for the researchers was its consistency across demographics. They found that the social stigma against AI use wasn’t limited to specific groups.

Fig. 1. Effect sizes for differences in expected perceptions and disclosure to others (Study 1). Note: Positive d values indicate higher values in the AI Tool condition, while negative d values indicate lower values in the AI Tool condition. N = 497. Error bars represent 95% CI. Correlations among variables range from | r |= 0.53 to 0.88.

Fig. 1 from the paper “Evidence of a social evaluation penalty for using AI.” Credit: Reif et al.

“Testing a broad range of stimuli enabled us to examine whether the target’s age, gender, or occupation qualifies the effect of receiving help from Al on these evaluations,” the authors wrote in the paper. “We found that none of these target demographic attributes influences the effect of receiving Al help on perceptions of laziness, diligence, competence, independence, or self-assuredness. This suggests that the social stigmatization of AI use is not limited to its use among particular demographic groups. The result appears to be a general one.”

The hidden social cost of AI adoption

In the first experiment conducted by the team from Duke, participants imagined using either an AI tool or a dashboard creation tool at work. It revealed that those in the AI group expected to be judged as lazier, less competent, less diligent, and more replaceable than those using conventional technology. They also reported less willingness to disclose their AI use to colleagues and managers.

The second experiment confirmed these fears were justified. When evaluating descriptions of employees, participants consistently rated those receiving AI help as lazier, less competent, less diligent, less independent, and less self-assured than those receiving similar help from non-AI sources or no help at all.

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