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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.

first_img Google disassembles retired servers to recycle DDR4 in response to memory shortages

Google's Senior Director of Supply Chain Infrastructure, Nikhil Cherian, revealed that to overcome memory bottlenecks, Google is developing software and hardware solutions and dismantling retired servers to recycle DDR4 components to establish an internal recycling supply chain. Google has designed special hardware adapters to connect the previous generation DDR4 to the new generation of AI servers while importing retired servers to remove their DDR4 modules for recycling.Cherian stated that the AI industry has rapidly shifted from being compute-constrained to memory-constrained, with high-performance memory accounting for about 75% of the bill of materials cost for a given AI server. A Goldman Sachs report indicated that memory prices will continue to rise in the third quarter, with personal computer DRAM prices expected to increase by 18% to 23% and server DRAM prices expected to rise by 13% to 18%. Trendforce data shows that in August, the spot market prices for DDR4 8GB and DDR5 8GB rose to $142 and $133, respectively.The two TPU ASICs launched by Google this year have been optimized for memory design, claiming to reduce memory demand to one-sixth of the original. The TPU8i chip features a dedicated layered memory design that relies on a high-speed DDR5 memory architecture to perform host-level tasks, with each chip equipped with 288GB of HBM3e high-bandwidth memory.

DWF Ventures: The rapid rise of social trading, platform competition is shifting from trade execution to social networks and information advantages

DWF Ventures released a report stating that as trading fees continue to approach zero, social trading is becoming a new direction for financial trading platforms to compete for users and build moats.The rise of social trading stems from users seeking validation from others and references for investment decisions. From early brokerage copy trading to investment communities like Reddit and Stocktwits, and now to platforms that combine real position verification, trading signals, and social relationships, social trading is evolving from a simple copy trading tool into a product form that integrates trading, content, and social interaction. As trade execution becomes increasingly homogenized, the future competitive advantage of platforms may come more from network effects, resources of well-known traders, and exclusive information and distribution capabilities.Analysis suggests that social trading platforms are forming a clear growth flywheel: platforms attract well-known traders and their fans, traders build reputations through public trading, fans amplify market influence by following trades, which in turn increases the visibility of traders and the user base of the platform. Public calls for trades may even generate a certain "self-fulfilling" effect in this process.Platforms also lower the entry barriers for users through one-click trading, low-threshold acceptance, trading competitions, and fee incentives, and leverage the social influence of top traders to facilitate user migration. In the future, the social trading ecosystem in the cryptocurrency and traditional stock sectors may further integrate, and platforms that master trader, user attention, and information flow are expected to form stronger network effects.However, social trading also faces significant structural risks. Data shows that among approximately 292,000 wallets analyzed by the Fomo platform over the past three months, only 6.16% achieved profitability based on realized gains. Followers lack independent investment logic and are easily influenced by herd behavior, while there may also be conflicts of interest between traders and followers.Furthermore, even if platforms can verify public positions, traders may still establish undisclosed positions through other wallets, making information asymmetry difficult to eliminate completely. Analysis suggests that as the boundaries between trading and entertainment continue to blur, platforms that can establish unique information layers, gather quality traders, and form network effects may gain an advantage in the competitive social trading market.
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