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“Even though we are seeing legalization of sports wagering, it is still a violation of NCAA rules. I do think people and member institutions really need to make sure that their student athletes are aware, so that they don’t walk themselves into any kind of issues,” she said.
In the full interview, Stevenson explains the NCAA’s approach to integrity and elaborates further on the concerns the organisation has towards U.S. sports betting. And if you haven’t yet, watch all of our videos as they go up by subscribing to the CalvinAyre.com YouTube channel.
The post Naima Stevenson Starks talks NCAA stance on sports betting appeared first on CalvinAyre.com.
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Two operators alone – Kalshi and Polymarket – topped the combined $1 billion mark in NFL trading activity over the first six days of Week 1, according to numerous measures this week. During the period, Kalshi recorded NFL volume of $983.4 million, according to DeFi Rate, earning the pole position by a large margin. Mahomes and the Kansas City Chiefs thrashed the Denver Broncos 31-10 on Monday Night Football, capping the largest week for prediction markets ever.
Even before the primetime matchup in Kansas City, it became abundantly clear that the industry would shatter previous marks for weekly activity. The AFC West showdown bolstered the already robust totals. Overall, volume for the week hit a record $15.9 billion, according to Bank of America, up 16% from a week earlier.
The pure-play prediction market-operators, Polymarket and Kalshi, emerged from Week 1 as the clear winners. On one hand, Kalshi’s market share lead narrowed over its competitors, falling to 82% for the week ended 13 September, down from 86% a week earlier.
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The company admitted to lapses in its internal approval process, described the error as isolated and noted the ad was removed within a few hours.
Limay reported implementing new safety measures for AI-generated gambling creatives, including specifying age-related prompts and reviewing the perceived age of AI outputs.
Despite these measures, the ASA found that the character’s age was not credibly verified. The prompts used to generate the AI image did not explicitly require the character to appear aged 25 or over. Without an independent verification process, the regulator determined the character still “seemed to be under 25”.
