
蘋果將於 9 月 10 日舉辦 2026 秋季發表會,新一代 Apple Watch Series 12 與 Apple Watch Ultra 4 同步登場。根據 watchOS 27 與 iOS 27 測試版原始碼,將推出全新獨立 App「Readiness」評估身體狀態,健康架構擴充支援詳細重量訓練記錄,採用全新光學感測系統 Sunstone4p0 提升心率精準度,儲存空間從 64GB 升級至 128GB。
AI-generated summary
蘋果每年舉辦秋季發表會,通常在 9 月推出新款 iPhone、Apple Watch 等產品。2026 年版預計包括 iPhone 18 Pro 及首款折疊 iPhone。
新一代 Apple Watch 預計今年 9 月登場。圖為現行款。(圖/Apple)
蘋果(Apple)將於今年 9 月10日舉辦2026秋季發表會,其中又以新一代 iPhone 18 Pro及首款折疊 iPhone最後矚目,而同時值得注意的是,全新 Apple Watch Series 12 與 Apple Watch Ultra 4 也將同步登場,近日則有網友透過 watchOS 27 與 iOS 27 測試版原始碼中,挖掘出多項尚未公開的關鍵細節,暗示即將亮相的 Apple Watch Series 12 與 Apple Watch Ultra 4 將迎來四大重點升級。
根據外媒《MacRumors》最新報導,系統程式碼中出現名為「Readiness」的全新獨立 App,有別於現有的「生命徵象(Vitals)」。在主畫面的預設排列中,該 App 緊鄰「體能訓練」,推測蘋果將導入更完整的身體狀態與恢復評估功能,幫助使用者衡量當天是否適合高強度訓練。
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此外,健康架構迎來擴充,未來可針對重量訓練記錄更多細節,包含個別組數、反覆次數、使用重量、器材類別、單雙側訓練以及每組動作的時間長度,讓重訓愛好者無需仰賴第三方工具即可精準追蹤。
Apple Watch Series 12 與 Apple Watch Ultra 4有望採用全新光學感測系統「Sunstone4p0」,具備更低的雜訊係數,並支援依手腕佩戴方向自動切換感測通道。這意味著即使脈搏訊號微弱,也能提供更精準的心率讀數。
最後,與新一代 T8320 晶片綁定的儲存規格顯示,Apple Watch Series 12 與 Apple Watch Ultra 4的容量預計將從前代的 64GB 直接升級至 128GB,讓離線音樂、離線地圖與 App 的存放空間更充裕。
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AI outlook — possibilities, not facts
Apple Watch Series 12 與 Ultra 4 將於 9 月 10 日發表會上正式亮相
Very likely · Within days
Readiness App 將成為 watchOS 27 的預設內建應用程式
Likely · Within weeks

Grindr, the world's largest LGBTQ+ dating app, agreed to pay 26 million pounds (approximately NT$1.1 billion) to settle a British class action lawsuit. The app was previously owned by the Chinese company Kunlun Vanguard before 2020 and was suspected of violating British privacy laws and leaking users' sensitive personal data to advertising companies.

The Ministry of Industry and Information Technology issued the "15th Five-Year Plan for the Development of the Information and Communications Industry" on September 7, proposing to deploy the world's leading network facilities, launch 6G commercialization in a timely manner, accelerate 6G core technology research and development, conduct 6G technology trials, and develop 6G base stations, core network equipment and 6G smartphones to enhance the resilience of the industrial chain and supply chain.

Grindr, the world's largest LGBTQ+ dating app, announced that it has agreed to settle a British class action lawsuit for £26 million (approximately NT$1.1 billion) over allegations that it was suspected of leaking users' sensitive personal information by the Chinese company Kunlun Vanguard before 2020. If distributed equally, each of the approximately 12,000 users would receive approximately £2,167. Although Grindr disagrees with the accusation, it said it understands the pain of users and will pay compensation in two installments.

Although the dexterous hand industry is highly popular and frequently funded, high-degree-of-freedom products are difficult to achieve large-scale mass production due to factors such as high costs, lagging model capabilities, and dispersed demand. The market is still dominated by low-degree-of-freedom products such as three-finger claws. The industry is shifting from a hardware competition to a software-constrained stage, and it is urgent to implement clear application scenarios to achieve the leap from showing off skills to commercial use.

Since the beginning of this year, cloud computing manufacturers and AI service providers such as Tencent Cloud, Alibaba Cloud, and Baidu Smart Cloud have intensively raised the prices of computing power products, with some services increasing by more than 30%. On the demand side, the explosive development of generative AI applications has led to a surge in the number of token calls. On the supply side, the supply side is constrained by factors such as tight production capacity of high-end AI chips and long construction cycles of intelligent computing centers. The imbalance between supply and demand has pushed up the price of computing power. Price increases are being transmitted upstream and downstream along the industrial chain, with upstream hardware manufacturers benefiting, midstream computing power leasing companies facing opportunities and pressures, downstream AI application companies facing increasing cost pressures, and industry differentiation may intensify. Experts suggest that companies should respond through technology cost reduction, resource scheduling optimization and strategic layout. The industry needs to move away from the pure hardware thinking and extend to algorithm optimization and scenario solutions.

Since the beginning of this year, cloud computing manufacturers such as Tencent Cloud and Alibaba Cloud have intensively raised the prices of computing power products. Affected by factors such as the imbalance between supply and demand of AI computing power and tight core hardware production capacity, rising computing power costs are being transmitted upstream and downstream and triggering accelerated adjustments in the industry chain.