"Here's a list of things you can bet on, right this second. This year's Super Bowl winner, sure. The winner of Survivor season 49, okay. But the number of gifts Santa will deliver this year? The number of tweets Elon Musk will send in the next 7 days? How much money Avatar: Fire and Ash will make at the box office?"
"On this episode of The Vergecast, we try to figure out where prediction markets came from, and why they've become so popular. Bloomberg's Joe Weisenthal joins the show to track the rise of Polymarket and Kalshi, explain their controversies and ultimate acceptance, and put these companies in their correct place in the economy. Most of all, he helps us figure out if there's actually something new happening here, or if the betting has been happening forever."
"After that, The Verge's Hayden Field walks us through the details of the Model Context Protocol, better known as MCP. It's a new protocol - barely over a year old! - that the whole AI industry seems to believe could help make AI agents more powerful and more useful. From a small project inside Anthropic to an industry-wide standard, the story of MCP appears to be crucial to whatever comes next."
Prediction markets now enable bets on a vast array of events, from sports and reality TV outcomes to social-media behavior and box office returns. Polymarket and Kalshi have risen to prominence, navigating controversies and eventual acceptance while influencing economic signaling and speculative activity. The Model Context Protocol (MCP) is a new, industry-backed standard originating at Anthropic that aims to make AI agents more powerful and useful by standardizing context sharing. AI companies are increasingly incentivized to drive in-app shopping because facilitating purchases is both engaging for users and highly lucrative for platforms.
Read at The Verge
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