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Who Even Is a Criminal Now?

Who Even Is a Criminal Now?

WIRED19-05-2025
May 19, 2025 6:00 AM WIRED loves a rogue. Except rogues ruined the internet. Is there any salvaging the rebellious spirit without destroying everything?
At WIRED, we've had a long-running obsession with rogues. This is, after all, a publication that was founded in the early '90s, born of a desire to champion the subversive, disruptive advent of the internet—and the hackers, hustlers, and blue-sky lunatics consumed by the possibilities of a digitized and interconnected planet.
Of course, WIRED had no idea, then, just what those rogues would ultimately unleash: a proliferation of bad actors wreaking havoc across the web; a booming industry of online conspiracy theorists whose dangerous convictions threaten everything from the health of our children to the strength of our democracies; and a coterie of tech billionaires with checkbooks and megaphones that reach from Silicon Valley all the way to the White House. Yes, rogues built the internet and inspired a technological revolution. Now, a mutated and much more powerful version of that same lawless spirit threatens to undo much of the incredible progress that technology and scientific inquiry have unlocked. DOGE Boys: I'm looking at you.
In this edition of WIRED, we're finding plenty of ways to show you just how roguish, how crooked, and how precarious our world has become. Matt Burgess brings you the inside story of Nigeria's Yahoo Boys and the 'scam influencer' teaching them how to pull sophisticated digital cons on American victims. From Andy Greenberg, a timeline of ghost guns culminating in the one that Luigi Mangione allegedly used to murder a health care CEO in broad daylight—an act that's turned Mangione into the internet's most beloved rogue in recent memory. (Scroll down to watch what happened when Andy tried to re-create that weapon himself.) And from Evan Ratliff, the sweeping, bone-chilling saga of the Zizians, a group of gifted young technologists who became the world's first AI-inflected death cult and allegedly killed six people over several violent, chaotic years.
Scam influencers? DIY guns? AI death cults? Yes, things are rough out there. But we wouldn't be WIRED without finding—and even creating—a little bit of roguish fun amid the gloom. Elsewhere in this issue, we'll introduce you to a new and inspiring era of anti-establishment rebellion that's taking root: Amber Scorah, the cofounder of a nonprofit that helps whistleblowers safely share information with the masses, is one such example. Another is Bluesky CEO Jay Graber, who sat down with Kate Knibbs to elaborate on her vision for a democratized social internet. Plus, our Gear experts will show you the slickest, most villainous products to outfit your supervillain lair.
If you take one thing from our Rogues Issue, I hope it's this: 'Rogue' is by no means a pejorative—even if it feels like more nasty bad actors than ever, perched in the highest seats of power, are running roughshod over pretty much everything. In fact, I'd argue that this moment calls for more rogues rather than fewer. The idealistic rogues. The indefatigable rogues. The new iteration of blue-sky lunatics who can imagine what a better world should look like—and are willing to fight the status quo to get us there. So be the rogue you want to see in the world, and know that WIRED, with every ounce of rebel spirit in our DNA, will be right there with you.
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7 Business Lessons For AI
7 Business Lessons For AI

Forbes

time8 minutes ago

  • Forbes

7 Business Lessons For AI

From above photo of an anonymous African-American woman analyzing business graph on a laptop ... More computer while sitting at restaurant desk with notebook, pen and eyeglasses. When considering any implementation of AI in a business, leadership teams have a weighty responsibility. This is an approach that people want to get right. They face a few challenges – that the technology is so nascent, that there doesn't seem to be a lot of road maps available for companies, and that many people instinctively distrust large language models to automate processes. So what's to be done? A Leader's Perspective Here's where I recently got some insights from a paper written by Lidiane Jones, who was previously head of Slack, and CEO of Bumble, a major dating platform. Jones breaks down some of the aspects of AI implementation that C-suite people are looking at. Data Transfers and Governance Jones points out that transformations like ETL (extract, transform, load) and ELT (extract, load, transform) predated AI, but data is still siloed in many cases. One solution Jones touts is an 'omnichannel data strategy' – this, she writes, 'will ensure privacy and security of your data, ease of access for business applications, offer real time capabilities and can integrate with your everyday tools.' Compliance with Financial Data Rules For example, Jones speaks about the need to focus on compliance in some areas. 'Every company has critical financial data, subject to audit, regulation and compliance that must be carefully protected,' she writes. 'Normally, for more scaled companies, this data sits on an ERP system. Every CEO, CFO, COO and CRO needs critical real-time insight from these systems, to determine how the business is performing against plans, how expenses are tracking against the budget or how a change in employee investment … will affect the overall cost structure and velocity of the business, among numerous other capital allocation considerations.' Business Intelligence for the Win In terms of general business intelligence, Jones spins a story to illustrate: 'Imagine a Sales Executive who develops a multi-year high trust relationship with one of a company's most important large customer, and she decides to leave the company for a better career opportunity,' she writes. 'Historically, though there will be good information about that customer and notes from this leader, much of her institutional knowledge leaves with her. Corporate human knowledge exists within organizations, and is shaped by the culture, people and business processes.' She then addresses the role of workflow tools and other platform resources. 'Collaboration software of all kinds like Slack, Google Workspace and Teams … have a lot of people's knowledge embedded in them that is hardly ever nurtured,' she adds. 'Unstructured data like this is highly effective in training LLMs, and can provide opportunities that haven't existed before - like capturing the sentiment of what this large customer loved the most about their relationship with this Sales Executive.' She also gave a nod to the potential difficulties, conceding that ' it might feel daunting to expand data strategy planning to be as broad as this,' but notes that partnering with vendors and other firms can help. 'Phasing and prioritizing how you bring more of your data into a single system is key to making progress and capturing business value along the way,' she writes. Agents do the Agenting Jones also makes an important point about the use of AI agents. It goes sort of like this: we're used to computers doing calculations, and digesting and presenting information, but these new systems can actually brainstorm on their own to change processes. 'In many instances, agents can optimize workflows themselves as they determine more effective ways to get the work done,' she writes. A Story of Implementation Citing ChatGPT's meteoric rise, Jones talked about using these technologies in the context of her work at Slack, which is, after all, a business communication tool. She chronicled the firm's connection with companies like OpenAI circa 2017. 'At the time, when I was leading Slack, it was exciting to collaborate with OpenAI, Cohere and Anthropic to use their LLMs to help our customers with some of the most challenging productivity challenges at Slack,' she writes. The challenges she enumerates: 'finding a conversation they knew they had but couldn't remember in what channel, or help customers manage the large amount of messages they received with summaries and prioritization, optimize search for information discovery and so much more.' Then, too, the company created tools. 'We introduced Slack Canvas based templates to help our customers quickly create content based on their corporate information, and captured Huddles' meeting notes and action items, and that was just the beginning,' she explains. 'The capabilities of LLMs gave us the opportunity to solve real-world customer challenges in a pleasant and insightful way, while maintaining the experience of the Slack brand.' Calling this kind of thing the 'table stakes' of the new corporate world, Jones walks us through a lot of the way stations on the path to what she calls 'co-intelligence.' That includes workflow automation, agentic AI, multi-agent systems, and new interfaces. Our AI Brethren Here's one way that Jones characterizes managing an AI: 'Considering autonomous agents as truly 'digital workers' can be a helpful framing for questions we already think of today with 'human workers' like: how does the employer track the quality of the work done? What systems does the digital worker have access to? If the company is audited, how do we track what steps and actions were taken by the digital worker? If the digital worker's actions turn malicious, how do we terminate the agent?' As for the extent of agent autonomy, Jones suggests that fully autonomous agents will be able to handle a complex or 'scoped' job on their own, conceding, though, that 'even an autonomous agent, like a human, needs a job scope and definition - or a set of instructions - on the job at hand.' This new world is one we will have to reckon with soon. Four Principles of Leadership Jones finished with a set of ideas for those who are considering these kinds of deployments. 1. Be hands-on: as a leader, stay close to what's happening 2. This one goes back to prior points: working with vendors and partners is a plus 3. Build an AI-first culture with AI-native projects 4. Find the value for your company I found this to be pretty useful for someone who is contemplating a big move in the age of AI. Some of the best ideas for leadership can be gleaned from TED talks, conferences, and these kinds of personal papers on experience with the industry.

DOGE AI Tool to Target 100K Federal Rules for Elimination: Report
DOGE AI Tool to Target 100K Federal Rules for Elimination: Report

Newsweek

timean hour ago

  • Newsweek

DOGE AI Tool to Target 100K Federal Rules for Elimination: Report

Based on facts, either observed and verified firsthand by the reporter, or reported and verified from knowledgeable sources. Newsweek AI is in beta. Translations may contain inaccuracies—please refer to the original content. The Department of Government Efficiency (DOGE) is reportedly using a newly developed artificial intelligence (AI) tool to accelerate the rollback of federal regulations, with a stated goal of eliminating 50 percent of all federal rules by the first anniversary of President Donald Trump's second inauguration, according to a Saturday report from The Washington Post. Internal documents reviewed by the newspaper, along with interviews with four government officials familiar with the project, reveal an ambitious timeline and a wide-ranging use of the tool across various agencies. Newsweek has reached out to the White House for comment via email on Saturday. Why It Matters DOGE was created by Trump through an executive order to improve efficiency and reduce waste in the federal government. It was led by billionaire Elon Musk who departed the administration in May. The reported plan represents one of the most aggressive attempts by the Trump administration to overhaul the federal regulatory system. By automating the deregulation process, the administration aims to reduce government spending and compliance burdens significantly. However, the use of AI to interpret complex legal language and determine regulatory necessity raises legal and practical concerns, particularly regarding accuracy, oversight, and the future role of civil servants in shaping public policy, according to the Post. What to Know The "DOGE AI Deregulation Decision Tool," developed by engineers brought into government under Elon Musk's DOGE initiative, is programmed to scan about 200,000 existing federal rules and flag those that are either outdated or not legally required. According to a PowerPoint presentation dated July 1 that was obtained by the newspaper, the tool estimates that approximately 100,000 of those rules could be eliminated, primarily through automation with minimal human input. The projection claims this could save trillions in compliance costs and spark increased external investment. At the Department of Housing and Urban Development (HUD), AI has already reviewed over 1,000 regulatory sections in under two weeks. Similarly, it was responsible for "100% of deregulations" at the Consumer Financial Protection Bureau (CFPB), according to the PowerPoint presentation. The Post, however, reported it was not able to confirm the use of AI at the agency independently. When asked about the use of AI for deregulation, White House spokesman Harrison Fields emphasized to the newspaper that "all options are being explored" to meet the president's deregulation goals. He clarified that no single plan has been finalized, and the effort is still in early, creative stages with ongoing consultation within the White House. DOGE plans to complete agency-specific deregulation lists by September 1 and finish nationwide rollout by January 20, 2026—labeled in internal documents as "Relaunch America." Agencies are currently receiving training on how to integrate the AI tool into their regulatory review process. The presentation claims the tool could save 93 percent of the labor typically required to gut federal rules, reducing what would usually take 3.6 million work hours to just 36. Despite these goals, some federal employees expressed concern about accuracy. One HUD employee told the Post that the AI misinterpreted statutes and flagged legal language as non-compliant when it was accurate. HUD confirmed to the newspaper that while the agency is exploring AI to streamline efficiency, the system is not intended to replace expert judgment. The push to eliminate regulations is not new for Trump. In January, he issued an executive order mandating the repeal of 10 rules for every new one added. Departments like Transportation and Labor have already reported dozens of regulatory cuts. However, experts question whether such repeals will withstand scrutiny under the Administrative Procedure Act, which governs the legal process for rescinding rules. Previous attempts to bypass procedural safeguards—such as Trump's reversal of showerhead regulations—have faced legal scrutiny. DOGE's lawyers have reportedly vetted the tool, but concerns remain about whether its recommendations will be upheld in court or trusted by the private sector. While DOGE initially tried to play a leading role in the deregulation campaign, internal resistance from federal employees has slowed momentum. Agencies questioned DOGE's subject matter expertise and hesitated to outsource rulemaking authority to a third-party system. Moreover, the administration's efforts to downsize the federal workforce have hampered its ability to implement the deregulation strategy. An American flag waves at the U.S. Capitol Building on June 10 in Washington, D.C. An American flag waves at the U.S. Capitol Building on June 10 in Washington, People Are Saying Nicholas Bagley, a law professor at the University of Michigan, told The Washington Post about Trump's unilateral efforts to cut regulations: "There's been some flashy sideshow efforts to avoid the legal strictures, but in general, they don't stick." 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'Makeup meal prep' hack goes viral on TikTok: 'I'm influenced'
'Makeup meal prep' hack goes viral on TikTok: 'I'm influenced'

New York Post

time2 hours ago

  • New York Post

'Makeup meal prep' hack goes viral on TikTok: 'I'm influenced'

Her beauty hack is no longer under wraps. UK-based makeup influencer Sam Begum is dividing the Internet with her head-scratching yet speedy makeup routine: a full face of cosmetics applied to a piece of plastic wrap at night, then slapped on her face in the morning. Videos of her technique have racked up nearly 10 million views on TikTok in recent weeks. Advertisement Sam Begum's TikTok videos showing the puzzling technique have wracked up nearly 10 million views in recent weeks. sxmiabegum/ TikTok Begum, 23, starts by sticking a clean piece of plastic to her naked face, then applies foundation, concealer, blush and bronzer onto the film, then sets it aside. The next morning, she finishes the routine by reversing the plastic and placing the side with the cosmetics on her face. Advertisement The warpaint initially appears blotchy and out of whack, until Begum uses a puffy makeup brush to blend it in and applies setting powder over the top. A lip gloss pulls it all together — all while Begum walks out of her apartment building. @sxmiabegum anything for an extra 20 mins in bed🫶🏽 @Lancôme foundation @Saie blush @Diorbeauty stick contour @Huda Beauty lip oil ♬ original sound – Mell ❤︎︎ 'Girl mathing 20 more minutes in bed,' reads the caption of one of her videos showing the technique, which has amassed over seven million views since it was posted June 30. Advertisement The once-viral hashtag 'Girl Math' trend refers to the illogical ways women justify purchases – or, in this case, more time in mattress mode. Some TikTokers are inspired by the glam game-changer. Some TikTokers felt inspired by the glam game-changer, while it 'pissed off' others. sxmiabegum/ TikTok 'Meal prepping makeup,' one person mused in the comments. Advertisement 'I'm influenced,' wrote another. Others weren't as rosy. 'I can't explain it but this pmo [pissed me off],' another said in a comment that's racked up more than 2,000 likes. 'Imagine all the bacteria on that foil and all the bacteria you absorb on the street while blending it all,' one person pointed out, along with the crying face emoji. In a July 14 video, Begum urged her followers to create a hole in the mouth area of the plastic wrap if they decide to test out her technique. 'Don't knock it till u try [it]!' she wrote. Begum did not respond to requests for comment.

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