As the prediction market boom continues, backlash is growing, too, with Arizona filing criminal charges against Kalshi and public outcry after Polymarket traders threatened a journalist. Kalshi CEO Tarek Mansour posted a video on Wednesday of six men decked out in business casual doing push-ups on the sidewalk. "This is how Kalshi Q1 board meeting ended," he wrote on X. The board members are laughing and smiling in the video after their impromptu cardio session, and the mood is jubilant. The next day, it became clear that the team had ample reason to celebrate: Kalshi had just raised $1 billion at a $22 billion valuation, making the company worth on paper roughly double what it was only a few months ago.

A judge ordered Kalshi to immediately halt sports and election contracts in the state, intensifying a growing regulatory battle over prediction markets. Kalshi has been temporarily banned in Nevada, marking the latest escalation in the widening regulatory war over prediction markets. The First Judicial District Court of Nevada has issued a 14-day restraining order, effective immediately, barring the company from "offering a derivatives exchange and prediction market which offers event-based contracts relating to sports, election, and entertainment related events" without first obtaining gaming licenses. This is the first time a US state has forced the company to cease operations. This particular legal battle began just over a year ago, when Nevada regulators sent Kalshi a cease-and-desist letter demanding that it stop offering sports-related events contracts.

Charles Bennett and Gilles Brassard pioneered quantum information theory. Now they've been awarded the highest honor in computer science. Today it's widely acknowledged that the future of computing will involve the quantum realm . Companies like Google, Microsoft, IBM, and a few well-funded startups are frantically building quantum computers and routinely claiming advances that seem to bring this exotic, world-changing technology within reach. In 1979 all of this was unthinkable.

After the rise (and fall) of reservation scalping, DoorDash and a host of apps are fighting to book you a seat at the country's most exclusive restaurants. At The Eighty-Six in Manhattan, exclusivity is the point. The luxe, 11-table steakhouse is the sort of place that lavishes caviar and aged mimolette cheese on its potatoes, and crows that your market-price duck was raised by one Dr. Taylor Swift has reportedly dined there in a Miu Miu skirt. Reservations are a scarce commodity that the restaurant, and New York law forbids you from selling one. "Access is the main asset," wrote food writer Helen Rosner in a recent New Yorker review of The Eighty-Six. "The product is the door, and what a door!

Two Literal Crypto Bros Built a Real Estate Empire. In 2019, two Canadian brothers blew into Detroit with an irresistible pitch: For $50, almost anyone could become a property owner. When houses decayed and the city intervened, the blame games began. A fire broke out at 10410 Cadieux in March 2025, burning a hole in the roof. The smell hit me first: damp brick, stagnant water, mold, and bleach. I was partway down a flight of wooden stairs that led to the basement of a 1920s duplex in east Detroit, Michigan. Leading the way was Cornell Dorris, a tenant in the building for nearly a decade. Dorris is in his early forties, has two daughters who visit on weekends, and makes a living smoking meat and cooking for events. As my eyes adjusted, I made out rodent droppings and a black puddle that spread across the basement floor. "Anytime it rains, the water comes down," Dorris said. The air was unnaturally heavy, and I felt a nagging urge to leave. Dorris doesn't have a typical landlord. Almost four years ago, his building was acquired by a startup called RealToken, or RealT.

Prior work has investigated variations of prediction markets that preserve participants' (differential) privacy, which formed the basis of useful mechanisms for purchasing data for machine learning objectives. Such markets required potentially unlimited financial subsidy, however, making them impractical. In this work, we design an adaptively-growing prediction market with a bounded financial subsidy, while achieving privacy, incentives to produce accurate predictions, and precision in the sense that market prices are not heavily impacted by the added privacy-preserving noise. We briefly discuss how our mechanism can extend to the data-purchasing setting, and its relationship to traditional learning algorithms.

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review's editorial staff. AI-enabled fraud and the coming impact of quantum computing are redefining digital-asset security, putting pressure on owners and service providers to act now. Cryptocurrency thieves are getting creative. Taking advantage of the desire to learn more about crypto and banking on the digital assets' reputation as a way to get rich quick, AI-generated video tutorials are touting ways of make money from crypto-trading arbitrage -- purportedly teaching viewers how to create maximal extractable value from trades using smart contracts.

As the legal war over how to regulate prediction markets rages on, financial institutions are embracing the industry anyway. When Troy Dixon first suggested incorporating prediction markets into the electronic trading platform where he works, he was met with incredulity. "People told us we were crazy," Dixon, Tradeweb's cohead of global markets, tells WIRED. But after the company announced it was partnering with Kalshi in February, Dixon says, the mood changed dramatically. "We've been inundated with calls," he says.

China's OpenClaw Boom Is a Gold Rush for AI Companies Hype around the open source agent is driving people to rent cloud servers and buy AI subscriptions just to try it, creating a windfall for tech companies. George Zhang thought OpenClaw could make him rich, even though he didn't really understand how the viral AI agent software worked. But he saw a video of a Chinese social media influencer demonstrating how it could be deployed to manage stock portfolios and make investment decisions autonomously. Zhang, who works in cross-border ecommerce in the Chinese city of Xiamen, was intrigued enough that he decided to try installing OpenClaw in late February. Zhang is one of the many people in China who got swept up in the craze over OpenClaw recently.

An AI crash could bring down the economy. Some in the tech world think that's the price of progress. The tech billionaire Hemant Taneja admits that AI is a bubble. In fact, he welcomes it: "Bubbles are good," Taneja, the CEO of General Catalyst, a venture-capital firm, told me in an email. If AI comes crashing down, it will lead to "some spectacular failures," he said--companies will go under and people will lose their jobs--but that's a price worth paying for "enduring companies that change the world forever."