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Crypto journalists say the midterm elections are unfavorable for crypto, with several pro-crypto lawmakers losing their seats

Crypto journalist Eleanor Terrett published an article summarizing the key results of the U.S. midterm elections, stating that the outcomes are generally unfavorable for the Republican Party and the crypto industry. She pointed out that despite over $64 million invested by the crypto industry, it was unable to prevent Sherrod Brown from returning to the Senate, where Brown may gain a leadership position on a committee with jurisdiction over crypto issues. Sherrod Brown previously served as the chairman of the Senate Banking Committee and holds significant influence over legislation and regulation of digital assets.Eleanor Terrett noted that Brown is cautious and even skeptical about crypto, emphasizing that consumer and investor protection should take priority. He advocates for enhanced information disclosure, segregation of customer assets, combating conflicts of interest, and anti-money laundering measures, opposing industry-led lax legislation. While he does not outright reject reforms on stablecoins and market structure, he insists that the regulatory framework must become stricter and not dilute the standards of traditional financial markets.Additionally, pro-crypto representatives Bryan Steil, Zach Nunn, and Ann Wagner were defeated, and Mike Lawler has conceded to Cait Conley, although the Associated Press has yet to make a final determination on New York's 17th congressional district. Kirsten Gillibrand, chair of the Democratic Senatorial Campaign Committee, helped the Democrats secure a Senate majority that exceeded expectations. After the Republican Party lost control of the Senate, Tim Scott is expected to transition from chairman of the Banking Committee to minority leader; the outcome in French Hill's district has not yet been determined, but it appears he may narrowly win and is expected to become minority leader, with the chairmanship taken over by Maxine Waters. Pete Ricketts won in Nebraska, and Andy Barr secured the vacant Senate seat in Kentucky, succeeding Mitch McConnell and potentially competing for a position on the Banking Committee.

Apple faces a $2.7 billion class action lawsuit: accused of unfair application tracking rules against third-party developers, gaining improper advantages in its own advertising ecosystem

According to a report by Reuters, Apple Inc. is facing a class-action lawsuit in London, with claims amounting to £2 billion (approximately $2.7 billion). The lawsuit was filed today in the London Competition Appeal Tribunal by Ann Pope, a former senior official of the UK's Competition and Markets Authority, representing app developers.The core allegation is that Apple's "App Tracking Transparency" (ATT) feature, launched in 2021, imposes stricter restrictions on third-party developers than on its own services, giving Apple's own advertising ecosystem an unfair competitive advantage. Ann Pope stated that Apple's policies "have caused very significant harm to businesses that rely on Apple as a gatekeeper."Since its launch, the ATT feature has been a focal point of concern for global regulators for several years. Apple's official stance is that the feature is designed to allow users to control whether to permit apps to track their activities across other companies and websites.However, the plaintiffs argue that the actual enforcement of this rule has a double standard—tracking requests from third-party apps require strict pop-up authorization, while Apple's own personalized ads and services can bypass the same restrictions. This lawsuit represents the latest legal challenge Apple faces regarding its ATT policy and is the first large-scale private antitrust lawsuit initiated in the UK market against Apple's app ecosystem rules following scrutiny from regulators in the EU, the US, and several other countries.

Expert: AI large model poisoning is a new form of unfair competition

According to China News Network, the "3·15" gala reported on the "poisoning" chaos of AI large models. Li Fumin, an expert from the Institute of Intelligent Social Governance at Shandong University of Finance and Economics, stated that the behavior of businesses conducting targeted training on large models through services like GEO to guide AI in generating specific product or service recommendations is essentially a new form of unfair competition and consumer misleading behavior that uses technical means for covert marketing and fabricating facts. This leads consumers to receive implanted marketing content without their knowledge, and its harmfulness and illegality need to be taken seriously.On one hand, the above behavior infringes upon the consumers' right to know and the right to fair trade as stipulated by the Consumer Rights Protection Law. On the other hand, it constitutes false or misleading commercial promotion using technical means, disrupting the normal order of recommendation algorithms and the market competition environment, thereby forming unfair competition.The governance of the above AI poisoning behavior requires a multi-faceted approach. Regulatory authorities should include AI-induced marketing in key monitoring and strengthen law enforcement supervision; AI operators should enhance the review of source materials and output filtering, and establish traceability mechanisms; consumers should improve their awareness of the commercial nature of AI-generated information and actively protect their rights through complaints and reports.
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