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About Crystal Queen
The rejection of the Clarity Act can be viewed as a victory for gaming stakeholders in their fight against prediction markets, which are closely intertwined with the crypto world. Crypto markets have long been the second-largest category of prediction market trading, behind sports, and many crypto exchanges also now offer predictions. These include Crypto.com, Coinbase, Gemini and many others.
On 16 June, a coalition of gaming lobby groups, state associations and labour unions sent a letter to the Senate urging lawmakers to include language in the bill banning sports and casino-related contracts. Among the signatories were the American Gaming Association, the Indian Gaming Association, the Association of Gaming Equipment Manufacturers and the UNITE HERE unions.
“Litigation may eventually clarify the law, but this is ultimately a question of congressional intent. Congress should not wait while this nationwide expansion of gambling continues,” the letter said. “It should use crypto legislation to reaffirm a simple principle: sports betting falls outside the CFTC’s remit and cannot be offered through prediction market platforms.”
How to play Crystal Queen
Baldwin and fellow casino entrepreneur Shawn Scott arrived in Laos in 2007 with ambitious plans to build a casino business aimed partly at customers crossing the country’s borders.
The pair established Sanum Investments and partnered with Laotian conglomerate ST Group. Baldwin later testified that the investors initially committed around $7.5 million to the venture, which envisaged two casino resorts and several slot clubs.
Their biggest success was Savan Vegas, strategically located near the Friendship Bridge linking Laos with neighboring Thailand across the Mekong River. A planned second resort, Paksong Vegas, was never built.
What is Crystal Queen?
“We’re doing this 100%,” COO Stefan Grenstad says of Cubeia’s AI-driven development process.
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.
