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first_img Patent company Taction won the lawsuit, and Apple was ordered to pay 5.7 billion dollars

A federal jury in San Diego, USA, ruled on Friday that Apple must pay over $5.7 billion in damages for using patented technology from the haptic patent company Taction Technology, according to Caixin. This is the highest patent compensation amount in U.S. history. Taction sued Apple in 2021, claiming that its sales of devices infringing on touch technology improperly utilized related innovations; the case was dismissed in 2023 but was later reinstated by the Federal Circuit Court of Appeals.Apple issued a statement strongly opposing the verdict and the amount of damages, stating that the ruling lacks factual basis. Apple stated that its haptic engine is fundamentally different from Taction's technology, and tests conducted during the trial confirmed this, asserting that it did not use Taction's technology and would appeal. Taction's chief attorney, Lance Yang, thanked the jury and mentioned that the company waited five and a half years for the case to go to trial.The core of the lawsuit revolves around two vibration-based haptic sensor technologies designed to allow users to perceive the device's response to input. Taction claims that Apple’s haptic engine in the Apple Watch and iPhone used its inventions without authorization. Apple's haptic engine was launched in 2014 with the Apple Watch and was used in the iPhone 6s and iPhone 6s Plus the following year, replacing the older vibration motors. Since Apple insists on appealing, the amount of damages will need to be determined first by the presiding judge before entering the appeals process for final confirmation.

Caixin: Poker expert Hu Zheweng has suffered three consecutive losses in the cryptocurrency market and has filed a lawsuit against Jump Trading and Chinese professor Zhang Yongfeng

According to Caixin, poker master and seasoned cryptocurrency investor Hu Zheweng made significant bets during the three waves of cryptocurrency frenzy involving ICOs, algorithmic stablecoins, and AI tokens, but faced consecutive failures. Hu Zheweng claimed to have invested in the blockchain project Stratis, achieving a return of "over 1000 times."According to disclosed information, Hu Zheweng invested approximately 80 million USD in algorithmic stablecoin TerraUSD (UST) and its sister token LUNA from May 2021 to May 2022, with the peak market value of his holdings exceeding 800 million USD, but the price of LUNA subsequently nearly dropped to zero.In addition, Hu Zheweng has filed a lawsuit in Chicago, USA against the globally renowned quantitative trading firm Jump Trading and its related companies and executives in the cryptocurrency business, seeking at least 500 million USD in damages. After experiencing Stox and Terra, Hu Zheweng has not left the cryptocurrency market; last January, he bet on a new project by a Chinese computer professor Zhang Yongfeng. Zhang Yongfeng entered the Computer Science Department of Tsinghua University in 2007 and is currently a tenured associate professor in the Computer Science Department at Rutgers University in the USA. He has been sued by Hu Zheweng on multiple charges including "securities fraud." It is reported that the tokens issued by the organization founded by Zhang Yongfeng, in which Hu Zheweng invested millions of dollars, have fallen over 99.6% from their peak in 2025.

first_img OpenAI is facing a class-action lawsuit, accused of allowing outsourced personnel to read ChatGPT conversations

Two ChatGPT users from California filed a proposed class action lawsuit against OpenAI in the United States District Court for the Northern District of California this month, accusing the company of failing to adequately inform users that their real conversations were being handed over to external contractors for processing. The lawsuit was served to OpenAI on September 2, focusing on its internal initiative Project Lily. According to the complaint, "AI data reviewers" and "chatbot evaluators" recruited through a third-party staffing company read real ChatGPT prompts and complete conversations, summarize user intent, and score and comment on responses from four models on a scale of 1 to 7.This process is known in the industry as reinforcement learning from human feedback (RLHF), which is a fundamental method for enhancing chatbot capabilities. The complaint states that users were never explicitly informed that a person, rather than a machine, might be reading their conversations. OpenAI filters conversations through an automated system before human review, but the complaint alleges that the filters cannot intercept all content, and personal details sometimes still reach contractors. 404 Media first reported on the project on September 14 and found that the reviewers' dashboard included "user memory summaries," which could expose users' approximate locations, occupations, or private life information, even though usernames had been removed.OpenAI stated that such reviews aim to reduce two behaviors: chatbots behaving too much like humans and overly catering to users, referred to by researchers as "flattery." The complaint raises eight legal claims, including violations of California's Unfair Competition Law, Consumer Privacy Act, and common law claims for intrusion into private affairs, with the plaintiffs seeking damages, restitution of unjust enrichment, and punitive damages.

first_img TSMC 3/2 nanometers and CoWoS remain tight, AWS and MediaTek's capacity allocation has changed

As we enter the late third quarter of 2026, TSMC's 3nm and 2nm advanced process and CoWoS advanced packaging capacity continue to be in high demand. NVIDIA and Apple continue to dominate the resources for advanced processes and packaging; Amazon AWS's Annapurna has recently increased its AI self-developed chip production, securing more 3nm capacity. MediaTek, in addition to mobile chips, is also competing for 2/3nm process and CoWoS-S/L capacity with large orders related to Google TPU.There are reports that TSMC has recently readjusted its capacity allocation. After MediaTek secured a large order from Google TPU, the next-generation TPU v9 will simultaneously use TSMC's CoWoS-L and Intel's EMIB-T, which has slightly adjusted MediaTek's 3nm and 2nm capacity arrangements. Currently, TSMC's main customer for 3nm is NVIDIA, which is expected to surpass Apple to become the largest customer by 2025; the demand for 2nm is primarily from Apple and others. After AWS increased Annapurna's production, its 3nm and CoWoS configuration priority has improved.Starting in early 2026, TSMC will accelerate capacity expansion, with the 2nm monthly capacity of Hsinchu Baoshan Fab 20 and Kaohsiung Fab 22 reaching 50,000 wafers each by the end of October, totaling about 100,000 wafers; by the end of October, the monthly capacity for 3nm in Tainan Science Park is about 185,000 wafers. As of the end of September, the overall capacity utilization rate is about 96.2%, with 100% utilization for processes below 16/12nm down to 2nm. The shortage of CoWoS supply has driven advanced packaging orders to overflow, with the priority for orders going to ASE Group's Siliconware Precision Industries first, followed by Amkor, and Chipbond, among others. Chipbond's related testing and packaging capacity is fully loaded, with order visibility extending to 2028.

first_img Amazon expands AI cabinet delivery, World Semiconductor, Wistron, and Hon Hai show strong shipments

The supply chain reports that Amazon, a leading North American cloud service provider under AWS, has recently expanded the delivery of AI server cabinets, with strong shipping momentum from partners such as TSMC, World Advanced, Wistron, and Hon Hai. Amazon has recently revised its capital expenditure for this year, increasing the original estimate from $200 billion to $220 billion, primarily for AI infrastructure, including data centers, servers, and network equipment.Amazon CEO Andy Jassy is optimistic that the demand for AI computing power will continue to exceed supply until 2027, and he has even seen strong demand for 2028. AWS's AI business and self-developed chip scale have grown to $25 billion, maintaining triple-digit percentage growth. Annapurna Labs' customized ASIC chips are mostly produced by TSMC using advanced 3-nanometer processes.World Advanced is an important partner for AWS's self-developed AI chips and is optimistic that its quarterly revenue and profits will reach new highs this season, with continued growth expected in the fourth quarter. The demand for 3-nanometer AI accelerators is better than previously assessed, and designs can be finalized before the end of the year. AWS's ASIC AI cabinets are assembled by Wistron, which also supplies switch trays, while Hon Hai is involved in CPU trays. Hon Hai's rotating CEO, Liu Young-way, stated that this year's ASIC project has made new progress, setting a target for ASIC server market share at over 40%.

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.
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