AI

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

AI, AI research, Ava Pun, Biz & IT, lego, LegoGPT, machine learning, Toys / /

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 »

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Google’s search antitrust trial is wrapping up—here’s what we learned

AI, antitrust, DoJ, Google, search, Tech / /

Google and the DOJ have had their say; now it’s in the judge’s hands.

Last year, United States District Court Judge Amit Mehta ruled that Google violated antitrust law by illegally maintaining a monopoly in search. Now, Google and the Department of Justice (DOJ) have had their say in the remedy phase of the trial, which wraps up today. It will determine the consequences for Google’s actions, potentially changing the landscape for search as we rocket into the AI era, whether we like it or not.

The remedy trial featured over 20 witnesses, including representatives from some of the most important technology firms in the world. Their statements about the past, present, and future of search moved markets, but what does the testimony mean for Google?

Everybody wants Chrome

One of the DOJ’s proposed remedies is to force Google to divest Chrome and the open source Chromium project. Google has been adamant both in and out of the courtroom that it is the only company that can properly run Chrome. It says selling Chrome would negatively impact privacy and security because Google’s technology is deeply embedded in the browser. And regardless, Google Chrome would be too expensive for anyone to buy.

Unfortunately for Google, it may have underestimated the avarice of its rivals. The DOJ called witnesses from Perplexity, OpenAI, and Yahoo—all of them said their firms were interested in buying Chrome. Yahoo’s Brian Provost noted that the company is currently working on a browser that supports the company’s search efforts. Provost said that it would take 6–9 months just to get a working prototype, but buying Chrome would be much faster. He suggested Yahoo’s search share could rise from the low single digits to double digits almost immediately with Chrome.

Break up the company without touching the sides and getting shocked!

Credit: Aurich Lawson

Meanwhile, OpenAI is burning money on generative AI, but Nick Turley, product manager for ChatGPT, said the company was prepared to buy Chrome if the opportunity arises. Like Yahoo, OpenAI has explored designing its own browser, but acquiring Chrome would instantly give it 3.5 billion users. If OpenAI got its hands on Chrome, Turley predicted an “AI-first” experience.

On the surface, the DOJ’s proposal to force a Chrome sale seems like an odd remedy for a search monopoly. However, the testimony made the point rather well. Search and browsers are inextricably linked—putting a different search engine in the Chrome address bar could give the new owner a major boost.

Browser choice conundrum

Also at issue in the trial are the massive payments Google makes to companies like Apple and Mozilla for search placement, as well as restrictions on search and app pre-loads on Android phones. The government says these deals are anti-competitive because they lock rivals out of so many distribution mechanisms.

Google pays Apple and Mozilla billions of dollars per year to remain the default search engine in their browsers. Apple’s Eddie Cue admitted he’s been losing sleep worrying about the possibility of losing that revenue. Meanwhile, Mozilla CFO Eric Muhlheim explained that losing the Google deal could spell the end of Firefox. He testified that Mozilla would have to make deep cuts across the company, which could lead to a “downward spiral” that dooms the browser.

Google’s goal here is to show that forcing it to drop these deals could actually reduce consumer choice, which does nothing to level the playing field, as the DOJ hopes to do. Google’s preferred remedy is to simply have less exclusivity in its search deals across both browsers and phones.

The great Google spinoff

While Google certainly doesn’t want to lose Chrome, there may be a more fundamental threat to its business in the DOJ’s remedies. The DOJ argued that Google’s illegal monopoly has given it an insurmountable technology lead, but a collection of data remedies could address that. Under the DOJ proposal, Google would have to license some of its core search technology, including the search index and ranking algorithm.

Google CEO Sundar Pichai gave testimony at the trial and cited these data remedies as no better than a spinoff of Google search. Google’s previous statements have referred to this derisively as “white labeling” Google search. Pichai claimed these remedies could force Google to reevaluate the amount it spends on research going forward, slowing progress in search for it and all the theoretical licensees.

Currently, there is no official API for syndicating Google’s search results. There are scrapers that aim to offer that service, but that’s a gray area, to say the least. Google has even rejected lucrative deals to share its index. Turley noted in his testimony that OpenAI approached Google to license the index for ChatGPT, but Google decided the deal could harm its search dominance, which was more important than a short-term payday.

AI advances

Initially, the DOJ wanted to force Google to stop investing in AI firms, fearing its influence could reduce competition as it gained control or acquired these startups. The government has backed away from this remedy, but AI is still core to the search trial. That seemed to surprise Judge Mehta.

During Pichai’s testimony, Mehta remarked that the status of AI had shifted considerably since the liability phase of the trial in 2023. “The consistent testimony from the witnesses was that the integration of AI and search or the impact of AI on search was years away,” Mehta said. Things are very different now, Mehta noted, with multiple competitors to Google in AI search. This may actually help Google’s case.

AI search has exploded since the 2023 trial, with Google launching its AI-only search product in beta earlier this year.

AI search has exploded since the 2023 trial, with Google launching its AI-only search product in beta earlier this year.

Throughout the trial, Google has sought to paint search as a rapidly changing market where its lead is no longer guaranteed. Google’s legal team pointed to the meteoric rise of ChatGPT, which has become an alternative to traditional search for many people.

On the other hand, Google doesn’t want to look too meek and ineffectual in the age of AI. Apple’s Eddie Cue testified toward the end of the trial and claimed that rival traditional search providers like DuckDuckGo don’t pose a real threat to Google, but AI does. According to Cue, search volume in Safari was down for the first time in April, which he attributed to people using AI services instead. Google saw its stock price drop on the news, forcing it to issue a statement denying Cue’s assessment. It says searches in Safari and other products are still growing.

A waiting game

With the arguments made, Google’s team will have to sweat it out this summer while Mehta decides on remedies. A decision is expected in August of this year, but that won’t be the end of it. Google is still hoping to overturn the original verdict. After the remedies are decided, it’s going to appeal and ask for a pause on the implementation of remedies. So it could be a while before anything changes for Google.

In the midst of all that, Google is still pursuing an appeal of the Google Play case brought by Epic Games, as well as the ad tech case that it lost a few weeks ago. That remedy trial will begin in September.

Photo of Ryan Whitwam

Ryan Whitwam is a senior technology reporter at Ars Technica, covering the ways Google, AI, and mobile technology continue to change the world. Over his 20-year career, he’s written for Android Police, ExtremeTech, Wirecutter, NY Times, and more. He has reviewed more phones than most people will ever own. You can follow him on Bluesky, where you will see photos of his dozens of mechanical keyboards.

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

AI use damages professional reputation, study suggests

AI, AI assistants, AI study, AI work, Biz & IT, chatgpt, chatgtp, Duke University, large language models, machine learning / /

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.

AI use damages professional reputation, study suggests Read More »

fidji-simo-joins-openai-as-new-ceo-of-applications

Fidji Simo joins OpenAI as new CEO of Applications

AI, Biz & IT, chatgpt, chatgtp, Fidji Simo, machine learning, openai, OpenAI board, sam altman / /

In the message, Altman described Simo as bringing “a rare blend of leadership, product and operational expertise” and expressed that her addition to the team makes him “even more optimistic about our future as we continue advancing toward becoming the superintelligence company.”

Simo becomes the newest high-profile female executive at OpenAI following the departure of Chief Technology Officer Mira Murati in September. Murati, who had been with the company since 2018 and helped launch ChatGPT, left alongside two other senior leaders and founded Thinking Machines Lab in February.

OpenAI’s evolving structure

The leadership addition comes as OpenAI continues to evolve beyond its origins as a research lab. In his announcement, Altman described how the company now operates in three distinct areas: as a research lab focused on artificial general intelligence (AGI), as a “global product company serving hundreds of millions of users,” and as an “infrastructure company” building systems that advance research and deliver AI tools “at unprecedented scale.”

Altman mentioned that as CEO of OpenAI, he will “continue to directly oversee success across all pillars,” including Research, Compute, and Applications, while staying “closely involved with key company decisions.”

The announcement follows recent news that OpenAI abandoned its original plan to cede control of its nonprofit branch to a for-profit entity. The company began as a nonprofit research lab in 2015 before creating a for-profit subsidiary in 2019, maintaining its original mission “to ensure artificial general intelligence benefits everyone.”

Fidji Simo joins OpenAI as new CEO of Applications Read More »

cue:-apple-will-add-ai-search-in-mobile-safari,-challenging-google

Cue: Apple will add AI search in mobile Safari, challenging Google

AI, Apple, Eddie cue, Google, IPhone, openai, Perplexity, safari, Tech / /

Apple executive Eddie Cue said that Apple is “actively looking at” shifting the focus of mobile Safari’s search experience to AI search engines, potentially challenging Google’s longstanding search dominance and the two companies’ lucrative default search engine deal. The statements were made while Cue testified for the US Department of Justice in the Alphabet/Google antitrust trial, as first reported in Bloomberg.

Cue noted that searches in Safari fell for the first time ever last year, and attributed the shift to users increasingly using large language model-based solutions to perform their searches.

“Prior to AI, my feeling around this was, none of the others were valid choices,” Cue said of the deal Apple had with Google, which is a key component in the DOJ’s case against Alphabet. He added: “I think today there is much greater potential because there are new entrants attacking the problem in a different way.”

Here he was alluding to companies like Perplexity, which seek to offer an alternative to semantic search engines with a chat-like approach—as well as others like OpenAI. Cue said Apple has had talks with Perplexity already.

Speaking of AI-based search engines in general, he said “we will add them to the list”—referring to the default search engine selector in Safari settings. That said, “they probably won’t be the default” because they still need to improve, particularly when it comes to indexing.

Cue: Apple will add AI search in mobile Safari, challenging Google Read More »

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Man pleads guilty to using malicious AI software to hack Disney employee

AI, Biz & IT, guilty plea, nullbulge, Security, us courts / /

A California man has pleaded guilty to hacking an employee of The Walt Disney Company by tricking the person into running a malicious version of a widely used open source AI image-generation tool.

Ryan Mitchell Kramer, 25, pleaded guilty to one count of accessing a computer and obtaining information and one count of threatening to damage a protected computer, the US Attorney for the Central District of California said Monday. In a plea agreement, Kramer said he published an app on GitHub for creating AI-generated art. The program contained malicious code that gave access to computers that installed it. Kramer operated using the moniker NullBulge.

Not the ComfyUI you’re looking for

According to researchers at VPNMentor, the program Kramer used was ComfyUI_LLMVISION, which purported to be an extension for the legitimate ComfyUI image generator and had functions added to it for copying passwords, payment card data, and other sensitive information from machines that installed it. The fake extension then sent the data to a Discord server that Kramer operated. To better disguise the malicious code, it was folded into files that used the names OpenAI and Anthropic.

Two files automatically downloaded by ComfyUI_LLMVISION, as displayed by a user’s Python package manager. Credit: VPNMentor

The Disney employee downloaded ComfyUI_LLMVISION in April 2024. After gaining unauthorized access to the victim’s computer and online accounts, Kramer accessed private Disney Slack channels. In May, he downloaded roughly 1.1 terabytes of confidential data from thousands of the channels.

In early July, Kramer contacted the employee and pretended to be a member of a hacktivist group. Later that month, after receiving no reply from the employee, Kramer publicly released the stolen information, which, besides private Disney material, also included the employee’s bank, medical, and personal information.

In the plea agreement, Kramer admitted that two other victims had installed ComfyUI_LLMVISION, and he gained unauthorized access to their computers and accounts as well. The FBI is investigating. Kramer is expected to make his first court appearance in the coming weeks.

Man pleads guilty to using malicious AI software to hack Disney employee Read More »

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OpenAI scraps controversial plan to become for-profit after mounting pressure

AI, Biz & IT, chatgpt, chatgtp, large language models, machine learning, microsoft, non-profit, openai, public benefit corporation, sam altman / /

The restructuring would have also allowed OpenAI to remove the cap on returns for investors, potentially making the firm more appealing to venture capitalists, with the nonprofit arm continuing to exist but only as a minority stakeholder rather than maintaining governance control. This plan emerged as the company sought a funding round that would value it at $150 billion, which later expanded to the $40 billion round at a $300 billion valuation.

However, the new change in course follows months of mounting pressure from outside the company. In April, a group of legal scholars, AI researchers, and tech industry watchdogs openly opposed OpenAI’s plans to restructure, sending a letter to the attorneys general of California and Delaware.

Former OpenAI employees, Nobel laureates, and law professors also sent letters to state officials requesting that they halt the restructuring efforts out of safety concerns about which part of the company would be in control of hypothetical superintelligent future AI products.

“OpenAI was founded as a nonprofit, is today a nonprofit that oversees and controls the for-profit, and going forward will remain a nonprofit that oversees and controls the for-profit,” he added. “That will not change.”

Uncertainty ahead

While abandoning the restructuring that would have ended nonprofit control, OpenAI still plans to make significant changes to its corporate structure. “The for-profit LLC under the nonprofit will transition to a Public Benefit Corporation (PBC) with the same mission,” Altman explained. “Instead of our current complex capped-profit structure—which made sense when it looked like there might be one dominant AGI effort but doesn’t in a world of many great AGI companies—we are moving to a normal capital structure where everyone has stock. This is not a sale, but a change of structure to something simpler.”

But the plan may cause some uncertainty for OpenAI’s financial future. When OpenAI secured a massive $40 billion funding round in March, it came with strings attached: Japanese conglomerate SoftBank, which committed $30 billion, stipulated that it would reduce its contribution to $20 billion if OpenAI failed to restructure into a fully for-profit entity by the end of 2025.

Despite the challenges ahead, Altman expressed confidence in the path forward: “We believe this sets us up to continue to make rapid, safe progress and to put great AI in the hands of everyone.”

OpenAI scraps controversial plan to become for-profit after mounting pressure Read More »

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Why Google Gemini’s Pokémon success isn’t all it’s cracked up to be

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While Gemini is using its own model and reasoning process for these tasks, it’s telling that JoelZ had to specifically graft these specialized agents onto the base model to help it get through some of the game’s toughest challenges. As JoelZ writes, “My interventions improve Gemini’s overall decision-making and reasoning abilities.”

What are we testing here?

Don’t get me wrong, massaging an LLM into a form that can beat a Pokémon game is definitely an achievement. However, the level of “intervention” needed to help Gemini with those things that “LLMs can’t do independently yet” is crucial to keep in mind as we evaluate that success.

The moment Gemini beat Pokémon (with a little help).

We already know that specially designed reinforcement learning tools can beat Pokémon quite efficiently (and that even a random number generator can beat the game quite inefficiently). The particular resonance of an “LLM plays Pokémon” test is in seeing if a generalized language model can reason out its own solution to a complicated game on its own. The more hand-holding we give the model—through external information, tools, or “harnesses”—the less useful the game is as that kind of test.

Anthropic said in February that Claude Plays Pokémon showed “glimmers of AI systems that tackle challenges with increasing competence, not just through training but with generalized reasoning.” But as Bradshaw writes on LessWrong, “without a refined agent harness, [all models] have a hard time simply making it through the very first screen of the game, Red’s bedroom!” Bradshaw’s subsequent gameplay tests with harness-free LLMs further highlight how these models frequently wander aimlessly, backtrack pointlessly, or even hallucinate impossible game situations.

In other words, we’re still a long way from the kind of envisioned future where an Artificial General Intelligence can figure out a way to beat Pokémon just because you asked it to.

Why Google Gemini’s Pokémon success isn’t all it’s cracked up to be Read More »

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A DOGE recruiter is staffing a project to deploy AI agents across the US government

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“does it still require Kremlin oversight?

A startup founder said that AI agents could do the work of tens of thousands of government employees.

An aide sets up a poster depicting the logo for the DOGE Caucus before a news conference in Washington, DC. Credit: Andrew Harnik/Getty Images

A young entrepreneur who was among the earliest known recruiters for Elon Musk’s so-called Department of Government Efficiency (DOGE) has a new, related gig—and he’s hiring. Anthony Jancso, cofounder of AcclerateX, a government tech startup, is looking for technologists to work on a project that aims to have artificial intelligence perform tasks that are currently the responsibility of tens of thousands of federal workers.

Jancso, a former Palantir employee, wrote in a Slack with about 2000 Palantir alumni in it that he’s hiring for a “DOGE orthogonal project to design benchmarks and deploy AI agents across live workflows in federal agencies,” according to an April 21 post reviewed by WIRED. Agents are programs that can perform work autonomously.

We’ve identified over 300 roles with almost full-process standardization, freeing up at least 70k FTEs for higher-impact work over the next year,” he continued, essentially claiming that tens of thousands of federal employees could see many aspects of their job automated and replaced by these AI agents. Workers for the project, he wrote, would be based on site in Washington, DC, and would not require a security clearance; it isn’t clear for whom they would work. Palantir did not respond to requests for comment.

The post was not well received. Eight people reacted with clown face emojis, three reacted with a custom emoji of a man licking a boot, two reacted with custom emoji of Joaquin Phoenix giving a thumbs down in the movie Gladiator, and three reacted with a custom emoji with the word “Fascist.” Three responded with a heart emoji.

“DOGE does not seem interested in finding ‘higher impact work’ for federal employees,” one person said in a comment that received 11 heart reactions. “You’re complicit in firing 70k federal employees and replacing them with shitty autocorrect.”

“Tbf we’re all going to be replaced with shitty autocorrect (written by chatgpt),” another person commented, which received one “+1” reaction.

“How ‘DOGE orthogonal’ is it? Like, does it still require Kremlin oversight?” another person said in a comment that received five reactions with a fire emoji. “Or do they just use your credentials to log in later?”

AccelerateX was originally called AccelerateSF, which VentureBeat reported in 2023 had received support from OpenAI and Anthropic. In its earliest incarnation, AccelerateSF hosted a hackathon for AI developers aimed at using the technology to solve San Francisco’s social problems. According to a 2023 Mission Local story, for instance, Jancso proposed that using large language models to help businesses fill out permit forms to streamline the construction paperwork process might help drive down housing prices. (OpenAI did not respond to a request for comment. Anthropic spokesperson Danielle Ghiglieri tells WIRED that the company “never invested in AccelerateX/SF,” but did sponsor a hackathon AccelerateSF hosted in 2023 by providing free access to its API usage at a time when its Claude API “was still in beta.”)

In 2024, the mission pivoted, with the venture becoming known as AccelerateX. In a post on X announcing the change, the company posted, “Outdated tech is dragging down the US Government. Legacy vendors sell broken systems at increasingly steep prices. This hurts every American citizen.” AccelerateX did not respond to a request for comment.

According to sources with direct knowledge, Jancso disclosed that AccelerateX had signed a partnership agreement with Palantir in 2024. According to the LinkedIn of someone described as one of AccelerateX’s cofounders, Rachel Yee, the company looks to have received funding from OpenAI’s Converge 2 Accelerator. Another of AccelerateSF’s cofounders, Kay Sorin, now works for OpenAI, having joined the company several months after that hackathon. Sorin and Yee did not respond to requests for comment.

Jancso’s cofounder, Jordan Wick, a former Waymo engineer, has been an active member of DOGE, appearing at several agencies over the past few months, including the Consumer Financial Protection Bureau, National Labor Relations Board, the Department of Labor, and the Department of Education. In 2023, Jancso attended a hackathon hosted by ScaleAI; WIRED found that another DOGE member, Ethan Shaotran, also attended the same hackathon.

Since its creation in the first days of the second Trump administration, DOGE has pushed the use of AI across agencies, even as it has sought to cut tens of thousands of federal jobs. At the Department of Veterans Affairs, a DOGE associate suggested using AI to write code for the agency’s website; at the General Services Administration, DOGE has rolled out the GSAi chatbot; the group has sought to automate the process of firing government employees with a tool called AutoRIF; and a DOGE operative at the Department of Housing and Urban Development is using AI tools to examine and propose changes to regulations. But experts say that deploying AI agents to do the work of 70,000 people would be tricky if not impossible.

A federal employee with knowledge of government contracting, who spoke to WIRED on the condition of anonymity because they were not authorized to speak to the press, says, “A lot of agencies have procedures that can differ widely based on their own rules and regulations, and so deploying AI agents across agencies at scale would likely be very difficult.”

Oren Etzioni, cofounder of the AI startup Vercept, says that while AI agents can be good at doing some things—like using an internet browser to conduct research—their outputs can still vary widely and be highly unreliable. For instance, customer service AI agents have invented nonexistent policies when trying to address user concerns. Even research, he says, requires a human to actually make sure what the AI is spitting out is correct.

“We want our government to be something that we can rely on, as opposed to something that is on the absolute bleeding edge,” says Etzioni. “We don’t need it to be bureaucratic and slow, but if corporations haven’t adopted this yet, is the government really where we want to be experimenting with the cutting edge AI?”

Etzioni says that AI agents are also not great 1-1 fits for job replacements. Rather, AI is able to do certain tasks or make others more efficient, but the idea that the technology could do the jobs of 70,000 employees would not be possible. “Unless you’re using funny math,” he says, “no way.”

Jancso, first identified by WIRED in February, was one of the earliest recruiters for DOGE in the months before Donald Trump was inaugurated. In December, Jancso, who sources told WIRED said he had been recruited by Steve Davis, president of the Musk-founded Boring Company and a current member of DOGE, used the Palantir alumni group to recruit DOGE members. On December 2nd, 2024, he wrote, “I’m helping Elon’s team find tech talent for the Department of Government Efficiency (DOGE) in the new admin. This is a historic opportunity to build an efficient government, and to cut the federal budget by 1/3. If you’re interested in playing a role in this mission, please reach out in the next few days.”

According to one source at SpaceX, who asked to remain anonymous as they are not authorized to speak to the press, Jancso appeared to be one of the DOGE members who worked out of the company’s DC office in the days before inauguration along with several other people who would constitute some of DOGE’s earliest members. SpaceX did not respond to a request for comment.

Palantir was cofounded by Peter Thiel, a billionaire and longtime Trump supporter with close ties to Musk. Palantir, which provides data analytics tools to several government agencies including the Department of Defense and the Department of Homeland Security, has received billions of dollars in government contracts. During the second Trump administration, the company has been involved in helping to build a “mega API” to connect data from the Internal Revenue Service to other government agencies, and is working with Immigration and Customs Enforcement to create a massive surveillance platform to identify immigrants to target for deportation.

This story originally appeared at WIRED.com.

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Wired.com is your essential daily guide to what’s next, delivering the most original and complete take you’ll find anywhere on innovation’s impact on technology, science, business and culture.

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Claude’s AI research mode now runs for up to 45 minutes before delivering reports

AI, AI agents, AI research agents, Anthropic, Anthropic Claude, Biz & IT, chatgpt, chatgtp, Claude, Deep Research, Google, large language models, machine learning, openai / /

Still, the report contained a direct quote statement from William Higinbotham that appears to combine quotes from two sources not cited in the source list. (One must always be careful with confabulated quotes in AI because even outside of this Research mode, Claude 3.7 Sonnet tends to invent plausible ones to fit a narrative.) We recently covered a study that showed AI search services confabulate sources frequently, and in this case, it appears that the sources Claude Research surfaced, while real, did not always match what is stated in the report.

There’s always room for interpretation and variation in detail, of course, but overall, Claude Research did a relatively good job crafting a report on this particular topic. Still, you’d want to dig more deeply into each source and confirm everything if you used it as the basis for serious research. You can read the full Claude-generated result as this text file, saved in markdown format. Sadly, the markdown version does not include the source URLS found in the Claude web interface.

Integrations feature

Anthropic also announced Thursday that it has broadened Claude’s data access capabilities. In addition to web search and Google Workspace integration, Claude can now search any connected application through the company’s new “Integrations” feature. The feature reminds us somewhat of OpenAI’s ChatGPT Plugins feature from March 2023 that aimed for similar connections, although the two features work differently under the hood.

These Integrations allow Claude to work with remote Model Context Protocol (MCP) servers across web and desktop applications. The MCP standard, which Anthropic introduced last November and we covered in April, connects AI applications to external tools and data sources.

At launch, Claude supports Integrations with 10 services, including Atlassian’s Jira and Confluence, Zapier, Cloudflare, Intercom, Asana, Square, Sentry, PayPal, Linear, and Plaid. The company plans to add more partners like Stripe and GitLab in the future.

Each integration aims to expand Claude’s functionality in specific ways. The Zapier integration, for instance, reportedly connects thousands of apps through pre-built automation sequences, allowing Claude to automatically pull sales data from HubSpot or prepare meeting briefs based on calendar entries. With Atlassian’s tools, Anthropic says that Claude can collaborate on product development, manage tasks, and create multiple Confluence pages and Jira work items simultaneously.

Anthropic has made its advanced Research and Integrations features available in beta for users on Max, Team, and Enterprise plans, with Pro plan access coming soon. The company has also expanded its web search feature (introduced in March) to all Claude users on paid plans globally.

Claude’s AI research mode now runs for up to 45 minutes before delivering reports Read More »

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Google teases NotebookLM app in the Play Store ahead of I/O release

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After several years of escalating AI hysteria, we are all familiar with Google’s desire to put Gemini in every one of its products. That can be annoying, but NotebookLM is not—this one actually works. NotebookLM, which helps you parse documents, videos, and more using Google’s advanced AI models, has been available on the web since 2023, but Google recently confirmed it would finally get an Android app. You can get a look at the app now, but it’s not yet available to install.

Until now, NotebookLM was only a website. You can visit it on your phone, but the interface is clunky compared to the desktop version. The arrival of the mobile app will change that. Google said it plans to release the app at Google I/O in late May, but the listing is live in the Play Store early. You can pre-register to be notified when the download is live, but you’ll have to tide yourself over with the screenshots for the time being.

NotebookLM relies on the same underlying technology as Google’s other chatbots and AI projects, but instead of a general purpose robot, NotebookLM is only concerned with the documents you upload. It can assimilate text files, websites, and videos, including multiple files and source types for a single agent. It has a hefty context window of 500,000 tokens and supports document uploads as large as 200MB. Google says this creates a queryable “AI expert” that can answer detailed questions and brainstorm ideas based on the source data.

Google teases NotebookLM app in the Play Store ahead of I/O release Read More »

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DOGE put a college student in charge of using AI to rewrite regulations

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The DOGE operative has been tasked with rewrites to the Department of Housing and Urban Development.

A young man with no government experience who has yet to even complete his undergraduate degree is working for Elon Musk’s so-called Department of Government Efficiency (DOGE) at the Department of Housing and Urban Development (HUD) and has been tasked with using artificial intelligence to rewrite the agency’s rules and regulations.

Christopher Sweet was introduced to HUD employees as being originally from San Francisco and, most recently, a third-year student at the University of Chicago, where he was studying economics and data science, in an email sent to staffers earlier this month.

“I’d like to share with you that Chris Sweet has joined the HUD DOGE team with the title of special assistant, although a better title might be ‘Al computer programming quant analyst,’” Scott Langmack, a DOGE staffer and chief operating officer of an AI real estate company, wrote in an email widely shared within the agency and reviewed by WIRED. “With family roots from Brazil, Chris speaks Portuguese fluently. Please join me in welcoming Chris to HUD!”

Sweet’s primary role appears to be leading an effort to leverage artificial intelligence to review HUD’s regulations, compare them to the laws on which they are based, and identify areas where rules can be relaxed or removed altogether. (He has also been given read access to HUD’s data repository on public housing, known as the Public and Indian Housing Information Center, and its enterprise income verification systems, according to sources within the agency.)

Plans for the industrial-scale deregulation of the US government were laid out in detail in the Project 2025 policy document that the Trump administration has effectively used as a playbook during its first 100 days in power. The document, written by a who’s who of far-right figures, many of whom now hold positions of power within the administration, pushes for deregulation in areas like the environment, food and drug enforcement, and diversity, equity, and inclusion policies.

One area Sweet is focusing on is regulation related to the Office of Public and Indian Housing (PIH), according to sources who spoke to WIRED on the condition of anonymity as they were not authorized to speak to the press.

Sweet—who two sources have been told is the lead on the AI deregulation project for the entire administration—has produced an Excel spreadsheet with around a thousand rows containing areas of policy where the AI tool has flagged that HUD may have “overreached” and suggesting replacement language.

Staffers from PIH are, specifically, asked to review the AI’s recommendations and justify their objections to those they don’t agree with. “It all sounds crazy—having AI recommend revisions to regulations,” one HUD source says. “But I appreciated how much they’re using real people to confirm and make changes.”

Once the PIH team completes the review, their recommendations will be submitted to the Office of the General Counsel for approval.

One HUD source says they were told that the AI model being used for this project is “being refined by our work to be used across the government.” To do this, the source says they were told in a meeting attended by Sweet and Jacob Altik, another known DOGE member who has worked as an attorney at Weil, Gotshal & Manges, that the model will crawl through the Code of Federal Regulations (eCFR).

Another source told WIRED that Sweet has also been using the tool at other parts of HUD. WIRED reviewed a copy of the output of the AI’s review of one HUD department, which features columns displaying text that the AI model found to be needing an adjustment while also including suggestions from the AI for alterations to be made, essentially proposing rewrites. The spreadsheet details how many words can be eliminated from individual regulations and gives a percentage figure indicating how noncompliant the regulations are. It isn’t clear how these percentages are calculated.

Sweet did not respond to requests for comment regarding his work. In response to a request to clarify Sweet’s role at HUD, a spokesperson for the agency said they do not comment on individual personnel. The University of Chicago confirmed to WIRED that Sweet is “on leave from the undergraduate college.”

It’s unclear how Sweet was recruited to DOGE, but a public GitHub account indicates that he was working on this issue even before he joined Musk’s demolition crew.

The “CLSweet” GitHub account, which WIRED has linked to Sweet, created an application that tracks and analyzes federal government regulations “showing how regulatory burden is distributed across government agencies.” The application was last updated in March 2025, weeks before Sweet joined HUD.

One HUD source who heard about Sweet’s possible role in revising the agency’s regulations said the effort was redundant, since the agency was already “put through a multi-year multi-stakeholder meatgrinder before any rule was ever created” under the Administrative Procedure Act. (This law dictates how agencies are allowed to establish regulations and allows for judicial oversight over everything an agency does.)

Another HUD source said Sweet’s title seemed to make little sense. “A programmer and a quantitative data analyst are two very different things,” they noted.

Sweet has virtually no online footprint. One of the only references to him online is a short biography on the website of East Edge Securities, an investment firm Sweet founded in 2023 with two other students from the University of Chicago.

The biography is short on details but claims that Sweet has worked in the past with several private equity firms, including Pertento Partners, which is based in London, and Tenzing Global Investors, based in San Francisco. He is also listed as a board member of Paragon Global Investments, which is a student-run hedge fund.

The biography also mentions that Sweet “will be joining Nexus Point Capital as a private equity summer analyst.” The company has headquarters in Hong Kong and Shanghai and describes itself as “an Asian private equity fund with a strategic focus on control opportunities in the Greater China market.”

East Edge Securities, Pertento Partners, Tenzing Global Investors, Paragon Global Investments, and Nexus Point Capital did not respond to requests for comment.

The only other online account associated with Sweet appears to be a Substack account using the same username as the GitHub account. That account has not posted any content and follows mostly finance and market-related newsletters. It also follows Bari Weiss’ The Free Press and the newsletter of Marc Andreessen, the Silicon Valley billionaire investor and group chat enthusiast who said he spent a lot of time advising Trump and his team after the election.

DOGE representatives have been at HUD since February, when WIRED reported that two of those staffers were given application-level access to some of the most critical and sensitive systems inside the agency.

Earlier this month, US representative Maxine Waters, the top Democrat on the House Financial Services Committee, said DOGE had “infiltrated our nation’s housing agencies, stealing funding Congress provided to communities, illegally terminating staff, including in your districts, and accessing confidential data about people living in assisted housing, including sexual assault survivors.”

This story originally appeared at WIRED.com

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