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Last Saturday, on the same day that Ohio State University made its season debut in college football, James teased a new commercial relationship with Polymarket. James, an ardent Buckeyes’ supporter, posted a brief video on social media platform X, where he announced his partnership with the controversial platform. While college football fans watched Ohio State thrash Miami (Ohio) 56-3, industry stakeholders wondered aloud which athletes would join “King James”.

After all, James indicated in the post that more details would be forthcoming. By Tuesday, the stakeholders received their answer when Polymarket aired a splashy ad that received more than 15.5 million views on James’ X page.

Following an extended three-day holiday for Labor Day Weekend, Polymarket went live with a colourful 90-second spot directed by award-winning filmmaker Peter Berg, the director of the acclaimed television series Friday Night Lights. The spot, which featured the likes of Eli Manning, Derek Jeter, Richard Sherman, John Leguizamo and Spike Lee, among other celebrities, coincided with the launch of Squads, a new social experience within the US Polymarket app.  

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Raja was reportedly permitted to access as much as £600,000 ($800,000) a day from his bank account to finance his casino play, according to The Telegraph.

“He would play and play, drink and drink, and if he didn’t lose all his money at the Palm Beach, he would then get in a car and go around the corner to the Colony Club,” the source told the newspaper.

The Telegraph noted that it does not claim any funds allegedly misappropriated from MFS were used to finance Raja’s gambling.

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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.