At the beginning of the year, The Cut kicked off a brief discourse cycle by declaring a new lifestyle trend: “friction-maxxing.”
The idea, in a nutshell, is that people have overconvenienced themselves with apps, AI, and other means of near-instant gratification—and would be better off with increased friction in their daily lives, which is to say those mundane challenges that ask some minor effort of them.
Whatever your feelings on that philosophy, the use of “maxxing” as a suffix assumed to be familiar or at least intelligible to most readers of a mainstream news outlet is evidence of another trend: the assimilation of incel terminology across the broader internet. The online ecosystem of incels, or “involuntarily celibate” men, is saturated with this sort of clinical jargon; its aggrieved participants insulate, isolate, and identify themselves through in-group codespeak that is meant to baffle and repel outsiders. So how did non-incels (“normies,” as incels would label them) end up adopting and recontextualizing these loaded words?
Slang, no matter its origins, has a viral nature. It tends to break containment and mutate. The buzzword “woke,” as it pertains to our current politics, comes from African American Vernacular English and once referred to an awareness of racial and social injustice—this usage dates to the middle of the 20th century, preceding even the civil rights movement. But the culture wars of this century have turned “woke” into a favorite pejorative of right-wingers, who wield it as a catchall term for anything that threatens their ideology, such as Black pilots or gender-neutral pronouns.
Back in 2014, the eruption of the Gamergate harassment campaign set the stage for a different linguistic realignment. An organized backlash to women working in the video game industry, and eventually any sort of diversity or progressivism within the medium, it exposed a vein of reactionary anger that would gain a fuller voice during Donald Trump’s 2016 presidential campaign. This was a period when many in the digital mainstream got their first taste of the trollish nihilism and invective that fuels toxic message boards such as 4chan and gave rise to a network of anti-feminist manosphere sites collectively known as the “PSL” community: PUAHate (a board for venting about pickup artists, it was shut down soon after the 2014 Isla Vista killing spree carried out by Elliot Rodger, who frequented the forum), SlutHate (a straightforward misogyny hub), and Lookism (where incels viciously critique each other’s appearance).
Lookism, named for the idea that prejudice against the less attractive is as common and pernicious as sexism or racism, is the only forum of the PSL trifecta that survives today, and while we don’t know who coined the “maxxing” idiom, it’s the likeliest source for the first verb with this construction. “Looksmaxxing,” which borrows from the role-playing game concept of “min-maxing,” or elevating a character’s strengths while limiting weaknesses, became the preferred expression for attempts to improve one’s appearance in pursuit of sex. This could mean something as simple as a style makeover or as extreme as “bonesmashing,” a supposed technique of achieving a more defined jaw by tapping it with a hammer.
If the 2000s introduced people to pickup lingo like “game” and “negging,” the 2010s ushered in language that extended the Darwinian vision of the dating pool as a cutthroat and strictly hierarchical marketplace. “AMOG,” an initialism for “alpha male of the group,” gave us “mogging,” a display where one man flexes his physical superiority over a rival. An ideally masculine specimen might also be recognized as a “Chad,” who allegedly enjoys his pick of attractive partners, while a Chad among Chads is, of course, a “Gigachad.” Women were disparaged as “female humanoids,” then “femoids,” and finally just “foids.”
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![Anthropic’s Mythos AI Reportedly Hacked the NSA’s Most Sensitive Systems ‘in Hours’
When Anthropic first disclosed Mythos in April, it sent an anxious shockwave through much of the cybersecurity sector. The new AI model was allegedly so ruthlessly effective at finding and exploiting security vulnerabilities in existing software that the company said it was holding off on a public release and would only grant access to a small group of early testers, including the U.S. National Security Agency (NSA). Another wave of fear reverberated this week after the NSA reportedly discovered multiple vulnerabilities within its own cybersecurity systems during its tests with Mythos. If that agency—which supposedly boasts the most impenetrable cyberdefenses in the world—can be hacked by Mythos, what hope does the rest of the world’s cybersecurity infrastructure have? This latest round of panic began with what seems to have been something of a game of telephone: Someone says one thing, which gets repeated by another, and another after that, and along that chain of communication, the original statement is distorted. Last week, The Economist reported that during a June 11 hearing before the Senate Committee on Banking, Housing, and Urban Affairs, Democratic Senator Mark Warner of Virginia said that Mythos had broken into “almost all of [the NSA’s] classified systems, not in weeks, but in hours.” Warner said he’d received that information from the head of the NSA himself, General Joshua Rudd, who also leads the Pentagon’s Cyber Command division. On Monday, a coalition of intelligence agencies—including the NSA and its counterparts in Canada, the U.K., Australia, and New Zealand— issued an unusually public warning that the risk that AI now poses for cybersecurity warrants a “whole-of-society response.”
The Economist’s report was seen by some as evidence that the worst fears about Mythos were true, a reaction that was undoubtedly fueled also by the aura of power and mystery that has coalesced around the model in recent months. That aura has arguably been a boon for Anthropic, which recently usurped OpenAI as the most valuable startup in the world and is preparing for what’s expected to be a historic IPO.
But it’s also been a contributing factor in its latest skirmish with the Trump administration, which ordered the company earlier this month to restrict access for all foreign nationals to Fable 5, a “Mythos-class” model that had recently been made publicly available and which was built with safeguards that to some users were annoyingly stringent. Citing national security concerns, the administration invoked an obscure piece of export control legislation, a move that, according to some legal experts, is spurious. Many cybersecurity experts, meanwhile, argued that the ban would hamstring U.S. cybersecurity defenses and give adversaries like China the upper hand. That argument was seemingly vindicated by a Tuesday report from the New York Times which said that Trump’s ban—which also targeted another model called Mythos 5, which had only been made available to a small group of organizations—had put the kibosh on the NSA’s internal tests with Mythos, and that the administration was now working with Anthropic to reinstate the agency’s access for limited purposes related to national security. The NSA did not immediately respond to Gizmodo’s request for comment.
That same report from the Times also clarified that the NSA’s internal tests with Mythos were less apocalyptic than online rumors might suggest. According to federal officials cited in the report, the tests were carried out in a digital environment so robustly controlled that it’s very unlikely any hacker or foreign intelligence agency could replicate them. The officials also told the Times that even though Mythos was able to identify cybersecurity vulnerabilities, it didn’t actually exploit them. The author of the report in The Economist—the one that had been the initial cause of all the worry—has also admitted that his portrayal of the NSA’s tests with Mythos had been misleading. The tests “surely [involved] using Mythos alongside other tools under very particular conditions,” he wrote in a X post on Sunday. “I quoted [Senator Warner] to give a sense of Mythos’ potency. But it was a mistake not to have added caveats.” #Anthropics #Mythos #Reportedly #Hacked #NSAs #Sensitive #Systems #HoursAI,Anthropic,Mythos,NSA,Trump,White House Anthropic’s Mythos AI Reportedly Hacked the NSA’s Most Sensitive Systems ‘in Hours’
When Anthropic first disclosed Mythos in April, it sent an anxious shockwave through much of the cybersecurity sector. The new AI model was allegedly so ruthlessly effective at finding and exploiting security vulnerabilities in existing software that the company said it was holding off on a public release and would only grant access to a small group of early testers, including the U.S. National Security Agency (NSA). Another wave of fear reverberated this week after the NSA reportedly discovered multiple vulnerabilities within its own cybersecurity systems during its tests with Mythos. If that agency—which supposedly boasts the most impenetrable cyberdefenses in the world—can be hacked by Mythos, what hope does the rest of the world’s cybersecurity infrastructure have? This latest round of panic began with what seems to have been something of a game of telephone: Someone says one thing, which gets repeated by another, and another after that, and along that chain of communication, the original statement is distorted. Last week, The Economist reported that during a June 11 hearing before the Senate Committee on Banking, Housing, and Urban Affairs, Democratic Senator Mark Warner of Virginia said that Mythos had broken into “almost all of [the NSA’s] classified systems, not in weeks, but in hours.” Warner said he’d received that information from the head of the NSA himself, General Joshua Rudd, who also leads the Pentagon’s Cyber Command division. On Monday, a coalition of intelligence agencies—including the NSA and its counterparts in Canada, the U.K., Australia, and New Zealand— issued an unusually public warning that the risk that AI now poses for cybersecurity warrants a “whole-of-society response.”
The Economist’s report was seen by some as evidence that the worst fears about Mythos were true, a reaction that was undoubtedly fueled also by the aura of power and mystery that has coalesced around the model in recent months. That aura has arguably been a boon for Anthropic, which recently usurped OpenAI as the most valuable startup in the world and is preparing for what’s expected to be a historic IPO.
But it’s also been a contributing factor in its latest skirmish with the Trump administration, which ordered the company earlier this month to restrict access for all foreign nationals to Fable 5, a “Mythos-class” model that had recently been made publicly available and which was built with safeguards that to some users were annoyingly stringent. Citing national security concerns, the administration invoked an obscure piece of export control legislation, a move that, according to some legal experts, is spurious. Many cybersecurity experts, meanwhile, argued that the ban would hamstring U.S. cybersecurity defenses and give adversaries like China the upper hand. That argument was seemingly vindicated by a Tuesday report from the New York Times which said that Trump’s ban—which also targeted another model called Mythos 5, which had only been made available to a small group of organizations—had put the kibosh on the NSA’s internal tests with Mythos, and that the administration was now working with Anthropic to reinstate the agency’s access for limited purposes related to national security. The NSA did not immediately respond to Gizmodo’s request for comment.
That same report from the Times also clarified that the NSA’s internal tests with Mythos were less apocalyptic than online rumors might suggest. According to federal officials cited in the report, the tests were carried out in a digital environment so robustly controlled that it’s very unlikely any hacker or foreign intelligence agency could replicate them. The officials also told the Times that even though Mythos was able to identify cybersecurity vulnerabilities, it didn’t actually exploit them. The author of the report in The Economist—the one that had been the initial cause of all the worry—has also admitted that his portrayal of the NSA’s tests with Mythos had been misleading. The tests “surely [involved] using Mythos alongside other tools under very particular conditions,” he wrote in a X post on Sunday. “I quoted [Senator Warner] to give a sense of Mythos’ potency. But it was a mistake not to have added caveats.” #Anthropics #Mythos #Reportedly #Hacked #NSAs #Sensitive #Systems #HoursAI,Anthropic,Mythos,NSA,Trump,White House](https://gizmodo.com/app/uploads/2026/06/GeneralJoshuaRudd-1280x853.jpg)

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