Magic Owl

What is Magic Owl?

“Just eight years ago, this court reiterated that ‘each state is free to act on its own’ in regulating sports betting,” the petition says. “But Kalshi has a different view. Kalshi bills itself as ‘the first app for legal sports betting in all 50 states’ and believes it can offer that legal sports betting without following the sports-gambling laws of any of those 50 states.”

In a statement, Kalshi spokesperson Dani Lever said the platform is “an open, nationwide, financial exchange” that “cannot be regulated by 50 different regulators”, per CDC Gaming.

“Both the Third Circuit and the District of New Jersey side with Kalshi, because the CFTC’s exclusive jurisdiction prompt state law,” Lever said, adding that “nothing in New Jersey’s filing” changes that view.

About Magic Owl

I’d like to thank our leader, Calvin Ayre, for giving me an opportunity to write about the gambling industry, but also for creating a platform that spoke to a different side of the industry, and wasn’t afraid to reveal uncomfortable truths when necessary. I’m excited to see what comes next in his campaign to wake the world up to the power of Bitcoin SV.

Bill Beatty, our Editor-in-Chief, was my guiding light. I learned to think of journalism, the gambling industry, and even life, in whole new ways thanks to him, and I’ll always count on him as one of my mentors.

But I couldn’t have accomplished half of what I did without all of my colleagues, past and present. Our talented team of writers, editors, web site development guys, production team, on screen reporters, Human Resources, Accountants, everyone. It took the whole team to make sure we put up the latest news and opinions every day, and everyone deserves their fair share of the credit.

About Magic Owl

The charter also made a series of other recommendations. It suggested that companies should designate a senior member of staff responsible for governance of the technology. It additionally recommended an AI oversight or ethics committee.

The framework also urged companies to implement rollback mechanisms and “kill-switch” controls for higher-impact systems.

For AI-powered customer support and chat, operators are encouraged to set clear parameters for when conversations should be moved to a human member of staff. These include repeated low-confidence responses, unresolved queries, indications of distress, or a customer simply asking to speak to a human.