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Inside the Gay Tech Mafia

WIRED

Gay men have long been rumored to run Silicon Valley. No one can say exactly when, or if, gay men started running Silicon Valley. They seem to have dominated its upper ranks at least the past five years, maybe more. On platforms like X, the clues are there: whispers of private-island retreats, tech executives going "gay for clout," and the suggestion that a "seed round" is not, strictly speaking, a financial term. It is an idea so taken for granted, in fact, that when I call up a well-connected hedge fund manager to ask his thoughts about what is sometimes referred to in industry circles as the "gay tech mafia," he audibly yawns. "This has always been the case." It had been the case, the hedge funder says, back in 2012, when he was raising money from a venture capitalist whose office was staffed with dozens of "attractive, strong young men," all of whom were "under 30" and looked as though they had freshly decamped from "the high school debate club." "They were all sleeping with each other and starting companies," he says. And it is absolutely the case now, he adds, when gay men are running influential companies in Silicon Valley and maintain entire social calendars with scarcely a straight man, much less a woman, in sight. "Of course the gay tech mafia exists," he continues. "This is not some Illuminati conspiracy theory. And you do not have to be gay to join. They like straight guys who sleep with them even more." Ever since I started covering Silicon Valley in 2017, I've heard variations of this rumor--that "gays," as an AI founder named Emmett Chen-Ran has quipped, "run this joint." On its face, a gay tech mafia seemed too dumb to warrant actual investigative inquiry.


12-hour days, no weekends: the anxiety driving AI's brutal work culture is a warning for all of us

The Guardian

San Francisco's AI startups are pushing workers to grind endlessly, hinting at pressures soon hitting other sectors Not long after the terms "996" and "grindcore" entered the popular lexicon, people started telling me stories about what was happening at startups in San Francisco, ground zero for the artificial intelligence economy. There was the one about the founder who hadn't taken a weekend off in more than six months. The woman who joked that she'd given up her social life to work at a prestigious AI company. Or the employees who had started taking their shoes off in the office because, well, if you were going to be there for at least 12 hours a day, six days a week, wouldn't you rather be wearing slippers? "If you go to a cafe on a Sunday, everyone is working," says Sanju Lokuhitige, the co-founder of Mythril, a pre-seed-stage AI startup, who moved to San Francisco in November to be closer to the action.


I Tried RentAHuman, Where AI Agents Hired Me to Hype Their AI Startups

WIRED

Rather than offering a revolutionary new approach to gig work, RentAHuman is filled with bots that just want me to be another cog in the AI hype machine. I'm not above doing some gig work to make ends meet. In my life, I've worked snack food pop-ups in a grocery store, ran the cash register for random merch booths, and even hawked my own plasma at $35 per vial. So, when I saw RentAHuman, a new site where AI agents hire humans to perform physical work in the real world on behalf of the virtual bots, I was eager to see how these AI overlords would compare to my past experiences with the gig economy. Launched in early February, RentAHuman was developed by software engineer Alexander Liteplo and his cofounder, Patricia Tani.


Salesforce Workers Circulate Open Letter Urging CEO Marc Benioff to Denounce ICE

WIRED

The letter comes after Benioff joked at a company event on Monday that ICE was monitoring international employees in attendance, sparking immediate backlash. Employees at Salesforce are circulating an internal letter to chief executive Marc Benioff calling on him to denounce recent actions by US Immigration and Customs Enforcement, prohibit the use of Salesforce software by immigration agents, and back federal legislation that would significantly reform the agency. The letter specifically cites the "recent killings of Renee Good and Alex Pretti in Minneapolis" as catalysts, calling them the "devastating indictment of a system that has discarded human decency." It's unclear how many signatories the letter has received so far. The letter, which has not been reported on previously, is being organized amid Salesforce's annual leadership kickoff event this week in Las Vegas.


Super Bowl Tailgate Photo Essay: Bad Bunny, Big Tech, and the Big Game

WIRED

We asked attendees of Super Bowl LX's pregame festivities for their takes on the competing halftime shows, the potential for ICE actions, and the influence of Silicon Valley on the event. To say this year's Super Bowl came at a charged time in American culture and politics is, perhaps, an understatement. While the pair of teams who took the field Sunday--the Seattle Seahawks and the New England Patriots--comprised a pretty classic matchup (no underdogs here!), the rest of the event was set to be anything but. Santa Clara's Levi's Stadium is in the heart of Silicon Valley, just a few miles from the corporate headquarters of Nvidia and AMD, whose chips are powering the AI arms race that had competitors OpenAI and Anthropic sparring via rival Super Bowl ads . There was an explosion in sports "trading" activity on sites like Kalshi and Polymarket in the lead-up to the game, even in states like California where traditional sports betting is illegal. Sunday could prove to be an extraordinary success for prediction markets, as the industry becomes more mainstream . Fresh off a historic Grammy Album of the Year win (a first for a Spanish-language album), the unapologetically political Puerto Rican rapper and singer Bad Bunny headlined --a choice that sparked a perhaps inevitable MAGA backlash. Meanwhile, Turning Point USA organized an alternative program called The All-American Halftime Show, featuring the likes of Kid Rock and Brantley Gilbert. Never mind that Bad Bunny is Puerto Rican, and therefore an American citizen. Rumors were even buzzing about possible actions by US Immigration and Customs Enforcement agents at the Super Bowl. Even though the NFL and California governor Gavin Newsom said on Thursday that there would be " no immigration enforcement tied to the game," anti-ICE protesters were on the streets. We caught up with football fans at a tailgate five minutes away from Levi's Stadium to hear their thoughts on all the drama. Here's what they had to say.


Gavin Newsom Is Playing the Long Game

The New Yorker

He catches nascent changes in the political weather. "During early, he kept telling me, 'Crime--there's something here,' " DeBoo told me. DeBoo studied the latest crime statistics and saw nothing unusual. He brushed off the worry. Then new numbers came out, showing a large pandemic spike in shoplifting and car theft, and concerns about crime exploded into the headlines. Last March, judging the winds, Newsom launched a podcast, "This Is Gavin Newsom."


New Data Shows Robotaxis Competing on Price--and Speed

WIRED

Research from the ride-hail aggregator Obi finds Waymo is starting to edge up on Uber and Lyft in San Francisco. Tesla, which operates a ride-hail service with human drivers, is winning the price wars. In San Francisco, people wanting to get from point A to point B have a few fairly unique options. Then, starting last fall, Bay Area denizens also got access to electric automaker Tesla's ride-hail service, which operates as a "robotaxi" in Texas but as a more traditional service, with drivers behind the wheel, in California. For months, the new and futuristic "robotaxi" services felt like a novelty .


Data centers are amazing. Everyone hates them.

MIT Technology Review

In these politically divisive times, there's one thing we all agree on--we don't want a giant data center in our backyard. Behold, the hyperscale data center! Massive structures, with thousands of specialized computer chips running in parallel to perform the complex calculations required by advanced AI models. A single facility can cover millions of square feet, built with millions of pounds of steel, aluminum, and concrete; feature hundreds of miles of wiring, connecting some hundreds of thousands of high-end GPU chips, and chewing through hundreds of megawatt-hours of electricity. These facilities run so hot from all that computing power that their cooling systems are triumphs of engineering complexity in themselves. But the star of the show are those chips with their advanced processors.


New Proposed Legislation Would Let Self-Driving Cars Operate in New York State

WIRED

New York governor Kathy Hochul says she will propose a new law allowing limited autonomous vehicle pilots in smaller cities. Full-blown services could be next. As self-driving car services from Alphabet's Waymo, Amazon's Zoox, and Tesla have slowly, quietly expanded across the US, one big, important state has mostly stayed mum: New York . The union's fourth most populous state has some of the tightest laws governing autonomous vehicles, requiring companies approved to test in the state to only do so with a driver behind the wheel. There's no current path for companies to operate the sort of commercial robotaxi services like the sort seen in San Francisco or Las Vegas.


Learning from Neighbors with PHIBP: Predicting Infectious Disease Dynamics in Data-Sparse Environments

Fong, Edwin, James, Lancelot F., Lee, Juho

arXiv.org Machine Learning

Modeling sparse count data, which arise across numerous scientific fields, presents significant statistical challenges. This chapter addresses these challenges in the context of infectious disease prediction, with a focus on predicting outbreaks in geographic regions that have historically reported zero cases. To this end, we present the detailed computational framework and experimental application of the Poisson Hierarchical Indian Buffet Process (PHIBP), with demonstrated success in handling sparse count data in microbiome and ecological studies. The PHIBP's architecture, grounded in the concept of absolute abundance, systematically borrows statistical strength from related regions and circumvents the known sensitivities of relative-rate methods to zero counts. Through a series of experiments on infectious disease data, we show that this principled approach provides a robust foundation for generating coherent predictive distributions and for the effective use of comparative measures such as alpha and beta diversity. The chapter's emphasis on algorithmic implementation and experimental results confirms that this unified framework delivers both accurate outbreak predictions and meaningful epidemiological insights in data-sparse settings.