CFTC sues three states for trying to regulate prediction markets
The US Commodity Futures Trading Commission is suing Illinois, Arizona and Connecticut for attempting to outlaw or regulate prediction markets like Kalshi and Polymarket. The CFTC believes it has sole jurisdiction to regulate these platforms, and that states attempting to classify them as illegal gambling are overstepping their authority.CFTC defines prediction markets as “designated contract markets” where futures contracts are traded, essentially letting people bet on the outcome of events (for example, who will be the Democratic nominee for president in 2028). And because futures contracts are financial instruments distinct from traditional bets, they arguably fall under the supervision of the CFTC rather than the sports gambling authorities of individual states.Multiple states, inc [...]
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New Jersey has no right to ban Kalshi's prediction market, US appeals court rules
Kalshi can't be stopped in New Jersey. A 3rd US Circuit Court of Appeals panel ruled on Monday that New Jersey has no authority to regulate Kalshi's prediction market allowing people to bet [...]
Nevada sues Kalshi for operating a sports gambling market without a license
Nevada is taking action against the rapidly growing Wild West of prediction markets. The state's gambling regulators and attorney general sued Kalshi on Tuesday. They accuse the company of bypass [...]
New York Attorney General sues two prediction markets on illegal gambling allegations
New York is the latest state to take a stand against prediction markets. Attorney General Letitia James has sued Coinbase Financial Markets and Gemini Titan on charges that both are illegally running [...]
Kalshi suspended three political candidates from its platform for insider trading
Prediction market Kalshi has taken action against three political candidates, alleging that each was engaged with insider trading of information about their campaigns. The company implemented new rule [...]
Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding
As agentic AI workflows multiply the cost and latency of long reasoning chains, a team from the University of Maryland, Lawrence Livermore National Labs, Columbia University and TogetherAI has found a [...]