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“The industry has a content problem,” he says. “There are thousands of games being released and too many of them are variations of something that already exists.
“Part of the reason is economics. When games take months and significant money to develop, people naturally become risk-averse. Building on something that already works becomes the safer option.”
For Curwen, tackling the problem therefore means changing the risk-reward equation behind game creation. If creators can develop and test ideas more quickly and at significantly lower cost, an unsuccessful experiment becomes less consequential – and taking a chance on something genuinely different becomes easier to justify.
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While Interior agreed that Scotts Valley met requirements regarding its modern ties to the area and the timing of the acquisition, the department ultimately concluded the tribe failed to demonstrate a sufficiently significant historical connection to the land.
In court Friday, DOJ attorney Amber Dutton-Bynum argued that Scotts Valley could not meet the high threshold for irreparable harm required to secure an injunction. She maintained that the tribe knowingly chose to invest in the Preview Casino while its gaming status remained uncertain, as reported by Law360. Dutton-Bynum added that the modular buildings could easily be repurposed for non-gaming commercial uses if the prohibition stands.
Patrick Bergin, an attorney for Scotts Valley, rejected that argument, noting the difficulty of converting a site explicitly planned and built for gaming into something like an auto dealership.
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That study found that AI adoption across the gambling industry remained uneven. It highlighted customer support, data analytics, fraud detection, and responsible gaming as areas where the technology was already being heavily used.
However, it also found that formal governance of AI was struggling to keep pace with its growing usage. Only a minority of organizations surveyed reported having a formal AI strategy or roadmap. Many said one remained in development.
The MGA also found that only a small number of respondents had fully established AI risk assessment processes or incident-response plans.