kalshi

Kalshi admitted to using AI to turn a YouTuber's original video into an ad, deepfaking him into a white host and effectively whitewashing the Asian-American creator. The company said the ad is old and that it no longer uses AI-generated ads while reviewing its relationship with the agency responsible.

Former U.S. Senator Blanche Lincoln, who warned in 2010 that prediction markets could be abused for gambling, now lobbies for Kalshi to loosen CFTC rules allowing sports event contracts, earning $480,000 from the firm since 2024.

An NPR report details how a self-excluded sports bettor turned to prediction market app Kalshi after bankruptcy, reigniting his gambling addiction as experts warn prediction markets are drawing in problem gamblers with bonus offers and weaker safeguards than traditional sportsbooks.

Prediction Market Analyst is an AI agent that analyzes prices on Kalshi and Polymarket to provide clear probabilities, edges, and risk assessments for better decision-making in prediction markets.

The article discusses allegations that Kalshi, a prediction market platform, allows in-house market makers to engage in wash trading with zero fees, potentially faking their trading volume.

New Jersey urges the Supreme Court to classify Kalshi's sports bets as gambling rather than swaps, challenging federal preemption of state gambling laws in a case that could impact prediction market regulation.

Unionized workers at The New York Times and The Athletic demand the company scrap a deal with Kalshi, citing concerns over journalistic independence and Kalshi's status as an illegal gambling operation.

Former congressman George Santos received a lifetime ban and fine from prediction market platform Kalshi for insider trading and market manipulation related to prediction contracts.

The 9th Circuit Court of Appeals has ruled in favor of states in a legal battle against Kalshi over whether its prediction markets constitute gambling.

A court has ruled that Kalshi's sports event contracts are classified as gambling rather than swaps, limiting their jurisdiction under the CFTC.

Kalshi CEO Tarek Mansour predicts compute will become a $10 trillion industry by 2030 and is racing to build a futures market for hedging AI compute costs, competing with CME Group and Intercontinental.

A trader placed a $5,000 bet on the Fed keeping rates unchanged in September, illustrating how platforms like Kalshi allow trading on the probability of economic events rather than just the outcomes.

New York Attorney General Letitia James is suing Kalshi, alleging the prediction market runs an illegal gambling operation and seeks to block it from operating in the state.

Former DOGE affiliates Jonathan Mendelson and Elie Mishory have taken senior roles at prediction market companies Polymarket and Novig, respectively, highlighting the intersection of government efficiency initiatives and the prediction market industry.

A federal judge blocked Minnesota's law banning prediction markets, ruling that many trades qualify as swaps under federal jurisdiction, while allowing the state to potentially prohibit certain types of event contracts.

A White House teleprompter aide used insider knowledge of Trump's speeches to make $100,000 betting on a prediction market called Kalshi, leading to his removal after the platform flagged the activity.

Kalshi's surveillance flagged and referred trades by Trump's teleprompter operator Gabriel Perez, who allegedly used inside information to win over $100,000 betting on what Trump would say during speeches, highlighting ongoing insider trading concerns in prediction markets.

Kalshi has created a tool that plots the future price of computing power using prediction markets, aiming to build a forward curve for GPU rental costs.

A federal judge ruled that New York can enforce its gambling laws against prediction market Kalshi, rejecting the company's argument that federal commodity law preempts state regulation. The decision adds to conflicting circuit court rulings, increasing the likelihood of Supreme Court review.

This paper establishes a formal equivalence between predictive accuracy and profitability in order-book-based prediction markets, introducing a proper betting strategy that converts accuracy into profit, and validates it with a live deployment on Kalshi achieving 80.33% ROI.