Disco Party

What is Disco Party?

The report identifies land-based and online casinos and sports betting as carrying the highest money laundering exposure. By contrast, lotteries and scratchcards present lower risk. 

It finds that online gaming shows more documented terrorist financing activity than gambling, although proliferation financing risks remain limited across both sectors.

Cash, e-wallets, mobile money and virtual assets emerge as the payment methods most vulnerable to abuse. This is particularly true where operators use them to structure deposits below reporting thresholds. 

What is Disco Party?

A new type of Designated Contract Market (DCM) dedicated to crypto trading is among the elements being looked at. Selig’s approach would enable existing and perhaps new crypto exchanges to gain CFTC recognition and offer leveraged or margined digital asset products under rules tailored for the sector.

However, the latest filing does not create such a system right away. Its OIRA entry describes the action as a preliminary measure and says it is not economically significant under the relevant review criteria. No legal deadline has been listed for review either. 

It could, therefore, take quite a bit longer than the timing of the initial filing indicates. The CFTC would have to publish its action and solicit public comment after White House review before writing a formal proposed rule. Any final rule would have to undergo another review and comment period before it could take effect. 

How to play Disco Party

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.