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She also criticised a Kalshi competitor for offering a function that allows minors over 17 to link an investment account with the ability to buy and sell event contracts. A former legislative director for the National Council on Problem Gambling, Doura-Schawohl described the opportunity as “very dangerous” for teenagers susceptible to harm.
Beyond Texas, Kalshi made history on Friday when it became the first prediction market to sign a partnership with a federally recognised sovereign nation.
One day before a primetime showdown between the University of Mississippi and Louisiana State University, the Tunica-Biloxi Tribe of Louisiana announced the launch of a tribal prediction market app. The new app, powered by Kalshi, will be launched through SaltTrade Derivatives, a newly established subdivision of a tribal-owned enterprise.
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According to OpenBet’s announcement, Konstakis is set to step into the CEO office at the end of the year. At the same time, Levin will transition to the chair role. In this position, he will continue to play a key role in shaping OpenBet’s long-term strategy.
For reference, Konstakis is no stranger to OpenBet’s business. He has been involved with the business for a while, serving as its president. In this role, he has been closely involved in “driving the operational and commercial execution of the business and shaping its strategic priorities.”
In his new role, Konstakis will be responsible not only for OpenBet’s strategy, but also for its day-to-day business, growth initiatives, and tech priorities. At the same time, he will be tasked with “raising the bar” in how OpenBet serves its clients.
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Now, the focus is on what the company does with the additional capacity AI has created. Six months ago, Cubeia’s experiment was essentially about replacing human-written code with AI-generated code.
Since then, it has evolved into something broader: a different development pipeline, a different role for developers and quality assurance (QA), a different way of organising teams and, increasingly, a different relationship with customers.
Cubeia’s first phase was an open approach to AI. Developers could use it whenever they wanted. Phase two brought structure, with everyone using the same agents and working through the same AI-driven pipeline. That required Cubeia to solve questions around quality, reliability and how agents could work together, while getting employees comfortable with the new way of working. Grenstad believes that work has largely been completed.