Laser Fruit

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Spectrum’s report was subsequently commissioned by Evolution to refute Black Cube’s accusations. In its latest release on Wednesday, Playtech said Evolution had “publicly characterised the Spectrum Report as exonerating it”.

But Playtech has claimed that the Spectrum report, which is now publicly available, was unable “to confirm or refute” some of Black Cube’s claims, “as Evolution failed to provide Spectrum with significant information it had requested”.

Evolution declined to provide a comment on the update.

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The volume is not only seen across NFL markets, but also on those in college football, which is practically a religion in Texas. When Ohio State faced Texas in a Top 5 matchup on 12 September, volume surpassed 50.7 million contracts traded, according to Odds Shopper, a prediction market tracking site. The robust activity set the stage for an intense legislative hearing three days later in the Texas Senate.

The 62-minute hearing featuring Kalshi and a prominent lobbyist from the American Gaming Association provided a blueprint for the state’s evaluation of prediction markets next year. Before the calendar turns to 2027, though, stakeholders will monitor races for governor, attorney general and the US Senate on election night. The results in all three Texas races will likely have a major impact on the future of prediction markets inside the state.

Convened by Texas State Senator Bryan Hughes, the hearing in the Senate Committee on State Affairs examined the relationship between federally regulated derivatives markets and state-prohibited gambling. Research from Eilers & Krejcik Gaming in April found that 43% of activity from sports event contracts came from two states, Texas and California. A separate breakout of Texas activity alone is not publicly available.

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The 2026 World Cup was therefore the culmination of five years of development that had embedded AI throughout Kambi’s trading operations.

“In simple terms, what we have undertaken is a shift from machine-assisted human trading to human-assisted machine trading,” Lamb explains.

The shift means that rather than spending their time pricing and managing established markets, traders can now apply their expertise where human judgement has the greatest value, including developing and testing new products. AI removes many of the practical limits on what can be offered and priced, and manages the resulting scale and complexity. The result is greater efficiency for Kambi and a better service for its partners and their customers.