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iOS 26、iPadOS26、macOS Tahoe 26、watchOS 26 公測版齊上線,嚐鮮體驗 Liquid Glass 設計

iOS 26、iPadOS26、macOS Tahoe 26、watchOS 26 公測版齊上線,嚐鮮體驗 Liquid Glass 設計

Yahoo3 days ago
iOS 26、iPadOS26、macOS Tahoe 26、watchOS 26 公測版齊上線,嚐鮮體驗 Liquid Glass 設計
在最後一個開發者 beta 上線後不久,Apple 就放出了 iOS 26、iPadOS26、macOS Tahoe 26、watchOS 26 的首批公測版本。這次新系統最明顯的變化就是齊齊換上了靈感源自 visionOS 的 Liquid Glass 視覺設計,它擁有半透明、響應式的 UI,圖示、按鈕、工具列等元素都會呈現出類似堆疊玻璃的質感。
除了最容易給人留下印象的外觀變化外,新系統在功能上自然也有諸多升級。其中 iOS 26 帶來了新的來電、FaceTime 介面,並為訊息 app 增加了設置背景圖片和創建投票的選項。相機 UI 亦有改動,主介面僅留下拍照和錄影供使用者切換。地圖 app 將能學習你的首選路線,即時提供交通狀況等更新資訊,並可在端到端加密的前提下像 Google 地圖那樣記錄位置歷史。而在 Apple Intelligence 的部分,iOS 26 最顯著的變化是將翻譯工具更深入地整合到系統當中。電話、FaceTime 和訊息都會有即時翻譯,而且 Apple Music 也會加入翻譯和發音指南。
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👉 iOS 26 領 Apple 全平台換上「Liquid Glass」設計,還有更簡化相機和更豐富聊天工具
👉 iOS 26 令手機登機證更實用!實時顯示航程、機場地圖、整合 Find My 功能
👉 iOS 26 將不會支援 iPhone XS、iPhone XS Max 和 iPhone XR
iPadOS 26 讓平板更像 Mac 電腦:可調視窗、PDF 預覽、更強檔案管理
至於 iPadOS 26,可以稱得上是該平台有史以來幅度最大的更新。在這個版本中你可以自由調整 app 視窗的大小,而且視窗上也增加了類似 macOS 的關閉、最小化、調整尺寸/平鋪視窗三按鈕組合,並有電腦使用者很熟悉的控制列選單讓操控功能更加井井有條。macOS 的預覽 app 亦出現在了 iPadOS 26 之中,透過它你可以快速檢視、編輯 PDF,不用再借力第三方應用。檔案 app 也有幅度不小的更新,它增加了新的列表視圖能顯示更多文檔資訊,並支援檔案拖拽且允許用家為特定檔案類型選擇預設打開應用。
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👉 iPadOS 26 讓平板更像 Mac 電腦:可調視窗、PDF 預覽、更強檔案管理
macOS Tahoe 26 主打 Spotlight 搜尋升級,還有「Liquid Glass」設計和全新電話 app
而電腦上的 Liquid Glass 難免會讓人想起 20 年前的 Windows Vista,但不同級別的透明度是 Apple 新美學的關鍵所在。而在功能方面,macOS Tahoe 26 最關鍵的改進集中在 Spotlight 搜尋上。現在你可以在 Spotlight 裡搜尋電腦上幾乎所有內容,包括檔案、app、訊息等等。它也適用第三方雲端儲存,並將整合「數百項」操作,類似發送電郵、添加圖片、播放 podcast 等不用切換 app 即可完成。Apple 還把電話 app 加到了電腦系統裡,這樣用家就不限於在訊息或 FaceTime 內發起通話,而且還能看到外賣進度、Uber 行程等「即時活動」資訊。至於 Apple Intelligence 全方位的即時翻譯,電腦系統也都會跟手機端一樣更新。
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👉 macOS Tahoe 26 主打 Spotlight 搜尋升級,還有「Liquid Glass」設計和全新電話 app
watchOS 26 新外觀,Workout Buddy 同你一齊訓練衝 PB
最後是 watchOS 26,它最主要的改進是對 Workout app 進行了重新設計。新版本四個角落加入了新按鈕,方便進行功能自訂,而且可以根據用家的運動類型及近期的聽歌記錄,自動挑選 Apple Music 播放清單。watchOS 26 還與 Apple Intelligence 進行了更深度的整合,並能利用改進的演算法,根據你的位置、時間和日常習慣來智能地疊放應用程式。新的「Workout Buddy」功能可藉助 AI 分析你的運動、健康資料,在訓練時提供個人化的提示以及打氣語音鼓勵。
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👉 watchOS 26 新外觀,Workout Buddy 同你一齊訓練衝 PB
雖然相比之前的開發者 beta,公測版韌體的穩定性和可用性應該都有提升。但這終究不是正式的版本,各位在體驗前還是記得先留好備份喔。
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AI Is Taking Over Your Search Engine. Here's a Look Under the Hood
AI Is Taking Over Your Search Engine. Here's a Look Under the Hood

CNET

time25 minutes ago

  • CNET

AI Is Taking Over Your Search Engine. Here's a Look Under the Hood

For decades, the way we find information on the internet changed only in small ways. Doing a traditional Google search today doesn't feel all that different from when, in the 1990s, you would Ask Jeeves. Sure, a lot has changed under the hood, the results are likely far more relevant and the interface has some new features, but you're still typing in keywords and getting a list of websites that might hold the answer. That way of searching, it seems, is starting to go the way of AltaVista, may it rest in peace. In May, Google announced the rollout of its new AI Mode for search, which uses a generative AI model (based on the company's Gemini large language model) to give you conversational answers that feel a lot more like having a chat and less like combing through a set of links. Other companies, like Perplexity and OpenAI, have also deployed search tools based on gen AI. These tools, which merge the functionality of a chatbot and a traditional search engine, are quickly gaining steam. You can't even escape AI by doing just a regular Google search: AI Overviews have been popping up atop those results pages since last year, and about one in five searches are now showing this kind of summary, according to a Pew Research Center report. I'm surprised it's not even more than that. These newfangled search tools feel a lot like your typical chatbot, like ChatGPT, but they do things a little differently. Those differences share a lot of DNA with their search engine ancestors. Here's a look under the hood at how these new tools work, and how you can use them effectively. Everything Announced at Google I/O 2025 Everything Announced at Google I/O 2025 Click to unmute Video Player is loading. Play Video Pause Skip Backward Skip Forward Next playlist item Unmute Current Time 0:13 / Duration 15:40 Loaded : 6.33% 00:13 Stream Type LIVE Seek to live, currently behind live LIVE Remaining Time - 15:27 Share Fullscreen This is a modal window. Beginning of dialog window. Escape will cancel and close the window. Text Color White Black Red Green Blue Yellow Magenta Cyan Opacity Opaque Semi-Transparent Text Background Color Black White Red Green Blue Yellow Magenta Cyan Opacity Opaque Semi-Transparent Transparent Caption Area Background Color Black White Red Green Blue Yellow Magenta Cyan Opacity Transparent Semi-Transparent Opaque Font Size 50% 75% 100% 125% 150% 175% 200% 300% 400% Text Edge Style None Raised Depressed Uniform Drop shadow Font Family Proportional Sans-Serif Monospace Sans-Serif Proportional Serif Monospace Serif Casual Script Small Caps Reset Done Close Modal Dialog End of dialog window. Close Modal Dialog This is a modal window. This modal can be closed by pressing the Escape key or activating the close button. Close Modal Dialog This is a modal window. This modal can be closed by pressing the Escape key or activating the close button. Everything Announced at Google I/O 2025 Search engines vs. AI search: What's the difference? The underlying technology of a search engine is kinda like an old library card catalog. The engine uses bots to crawl the vast expanses of the internet to find, analyze and index the endless number of web pages. Then, when you do a search to ask who played Dr. Angela Hicks on ER, because you're trying to remember what else you've seen her in, it will return pages for things like the cast of ER or the biography of the actor, CCH Pounder. From there, you can click through those pages, whether they're on Wikipedia or IMDB or somewhere else, and learn that you know CCH Pounder from her Emmy-winning guest appearance on an episode of The X-Files. "When customers have a certain question, they can type that question into Google and then Google runs their ranking algorithms to find what content is the best for a particular query," Eugene Levin, president of the marketing and SEO tool company Semrush, told me. Generally, with a traditional search, you have to click through to other websites to get the answer you're looking for. When I was trying to figure out where I recognized CCH Pounder from, I clicked on at least half a dozen different sites to track it down. That included using Google's video search -- which combs an index of videos across different hosting platforms -- to find clips of her appearance on The X-Files. Google announced AI Mode at its I/O developer conference in May. Google/Screenshot by Joe Maldonado/CNET These multiple searches don't necessarily have to happen. If I just want to know the cast of ER, I can type in "cast of ER" and click on the Wikipedia page at the top. You'll usually find Wikipedia or another relevant, trustworthy site at or near the top of a search result page. That's because a main way today's search algorithms work is by tracking which sites and pages get most links from elsewhere on the web. That model, which "changed the game for search" when Google launched it in the 1990s, was more reliable than indexing systems that relied on things like just how many times a keyword appeared on a page, said Sauvik Das, associate professor at Carnegie Mellon University's Human-Computer Interaction Institute. "There's lots of cookie recipes on the web, but how do you know which ones to show first?" Das said. "Well, if a bunch of other websites are linking to this website for the keywords of 'cookie recipe,' that's pretty difficult to game." AI-powered search engines work a little differently, but operate on the same basic infrastructure. In my quest to see where I recognized CCH Pounder from, I asked Google's AI Mode, literally, "Where do I recognize the actress who plays Dr. Angie Hicks on ER from?" In a conversation that felt far more like chatting with a bot than doing searches, I narrowed it down. The first result gave me a list of shows and movies I hadn't seen, so I asked for a broader list, which featured her guest appearances on other shows. Then I could ask for more details about her X-Files appearance, and that narrowed it down. While the way I interacted with Google was different, the search mechanisms were basically the same. AI Mode just used its Gemini model to develop and process dozens of different web searches to gather the information needed, Robby Stein, vice president of product for Google Search, told me. "A user could've just queried each of those queries themselves." Basically, AI Mode did the same thing I did, just a lot faster. So many searches, so little time The approach here is called "query fan-out." The AI model takes your request and breaks it down into a series of questions, then conducts searches to answer those components of the request. It then takes the information it gathers from all those searches and websites and puts it together in an answer for you. In a heartbeat. Those searches are using the same index that a traditional search would. "They work on the same foundation," Levin said. "What changes is how they pull information from this foundation." This fan-out process allows the AI search to pull in relevant information from sites that might not have appeared on the first page of traditional search results, or to pull a paragraph of good information from a page that has a lot more irrelevant information. Instead of you going down a rabbit hole to find one tiny piece of the answer you want, the AI goes down a wide range of rabbit holes in a few seconds. "They will anticipate, if you're looking for this, what is the next thing you might be interested in?" Levin said. Read more: AI Essentials: 29 Ways You Can Make Gen AI Work for You, According to Our Experts The number of searches the AI model will do depends on the tool you're using and on how complicated your question is. AI Mode that uses Google's Deep Search will spend more time and conduct more searches, Stein said. "Increasingly, if you ask a really hard question, it will use our most powerful models to reply," Stein said. The large language models that power these search engines also have their existing training data to pull from or use to guide their searches. While a lot of the information is coming from the up-to-date content it finds by searching the web, some may come from that training data, which could include reams of information ranging from websites like this one to whole libraries of books. That training data is so extensive that lawsuits over whether AI companies actually had the right to use that information are quickly multiplying. (Disclosure: Ziff Davis, CNET's parent company, in April filed a lawsuit against OpenAI, alleging it infringed Ziff Davis copyrights in training and operating its AI systems.) AI search isn't just a chatbot Not relying on training data is one thing that sets an AI-powered search engine apart from a traditional chatbot, even though the underlying language model might be largely the same. While ChatGPT Search will scour the internet for relevant sites and answers, regular ChatGPT might rely on its own training data to answer your question. "The right answer might be in there," Das said. "It might also hallucinate a likely answer that isn't anywhere in the pre-training data." The AI search uses a concept called retrieval-augmented generation to incorporate what it finds on the internet into its answer. It collects information from a source you point it to (in this case, the search engine index) and tells it to look there instead of making something up if it can't find it in its training data. "You're telling the AI the answer is here, I just want you to find where," Das said. "You get the top 10 Google results, and you're telling the AI the answer is probably in here." Perplexity offers AI-powered search through its app and through a newly announced browser. Stefani Reynolds/Bloomberg via Getty Images Can you really trust AI search results? These AI-powered search tools might be more reliable than just using a chatbot itself, because they're pulling from current, relevant information and giving you links, but you still have to think critically about it. Here are some tips from the experts: Bring your human skepticism Consider how bad people are at telling when you're sarcastic on the internet. Then think about how bad a large language model might be at it. That's how Google's AI Overviews came up with the idea to put glue on pizza -- by pulling information from a humorous Reddit post and repeating it as if it were real culinary advice. "The AI doesn't know what is authentic and what is humorous," Das said. "It's going to treat all that information the same." Remember to use your own judgement and look for the sources of the information. They might not be as accurate as the LLM thinks, and you don't want to make important life decisions based on somebody's joke on an internet forum that a robot thought was real. AI can still make stuff up Even though they're supposed to be pulling from search results, these tools can still make things up in the absence of good information. That's how AI Overviews started creating fake definitions for nonsensical sayings. The retrieval-augmented generation might reduce the risk of outright hallucinations but doesn't eliminate it, according to Das. Remember that an LLM doesn't have a sense of what the right answer to a question is. "It's just predicting what is the next English word that would come after this previous stream of other English words or other language words," Das said. "It doesn't really have a concept of truthiness in that sense." Check your sources Traditional search engines are very hands-off. They will give you a list of websites that appear relevant to your search and let you decide whether you want to trust them. Because an AI search is consolidating and rewriting that information itself, it may not be obvious when it's using an untrustworthy source. "Those systems are not going to be entirely error-free, but I think the challenge is that over time you will lose an ability to catch them," Levin said. "They will be very convincing and you will not know how to really go and verify, or you will think you don't need to go and verify." But you can check every source. But that's exactly the kind of work you were probably hoping to avoid using this new system that's designed to save you time and effort. "The problem is if you're going to do this analysis for every query you perform in ChatGPT, what is the purpose of ChatGPT?" Levin said.

Apple (AAPL) Stock Gets $245 Price Target Ahead of Earnings — Here's Why
Apple (AAPL) Stock Gets $245 Price Target Ahead of Earnings — Here's Why

Yahoo

timean hour ago

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Apple (AAPL) Stock Gets $245 Price Target Ahead of Earnings — Here's Why

Apple Inc. (NASDAQ:AAPL) is one of the . On July 23, Monness, Crespi, Hardt & Co. reiterated the stock as 'Buy' with a $245 price target. Monness said that Apple remains well-positioned ahead of earnings on July 31. 'In our view, Apple is innovating with industry-leading products supported by a powerful digital grid and embarking on a gen AI journey with Apple Intelligence; however, regulatory headwinds persist, the implications of this trade war are unclear, geopolitical risks continue, and the macro treacherous.' Apple is a technology company known for its consumer electronics, software, and services. While we acknowledge the potential of AAPL as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: and . Disclosure: None.

iOS 26 adds new Liquid Glass icons — here's how to transform your iPhone homescreen
iOS 26 adds new Liquid Glass icons — here's how to transform your iPhone homescreen

Tom's Guide

timean hour ago

  • Tom's Guide

iOS 26 adds new Liquid Glass icons — here's how to transform your iPhone homescreen

With iOS 26, Apple's introducing its biggest design update in more than a decade. Leading that overhaul is a new Liquid Glass interface that adds a translucent, layered look to on-screen elements on the best iPhones. Now that the iOS 26 public beta is out, you can test it out for yourself — and it's a game-changer for your homescreen. The Liquid Glass interface basically adds a third way to view app icons in addition to the traditional Light and Dark modes. When enabled, every icon gets a translucent finish with no color, a new minimalistic design that lets whatever image is behind it bleed through as if you're looking through glass. "Its color is informed by surrounding content and intelligently adapts between light and dark environments," Apple said in a press release last month. As for the "Liquid" part of the name, that refers to how these transparent touches dynamically adapt as you use your Apple device. Menus and buttons can respond to your touch, with some gathering around your finger while others split off into new menus. Elements on your lock screen can stretch and move around to accommodate background images or incoming notifications. Wallpapers now also benefit from a spatial photo effect, a page from the visionOS found on Apple's Vision Pro headset, that can tilt and shift an image based on your viewing perspective. Customizing your home screen with iOS 26's new Liquid Glass design is pretty simple. Since iOS 26 is still in its testing phase (a full rollout's expected around September), you'll have to get the public beta on your phone first. We've got a step-by-step guide on how to download the iOS 26 public beta if you haven't already. Once that's downloaded, enabling the Liquid Glass interface is easy: The Light option turns everything to glass while Dark gives your interface that glassified look while retaining some of the icons' original color. Alternatively, you can select Auto so that the interface switches between Light and Dark depending on the time of day. Get instant access to breaking news, the hottest reviews, great deals and helpful tips. And that's it! Your homescreen icon will immediately get the Liquid Glass design, letting your background shine through your apps for a sleek, minimalistic feel. If you later change your mind and want to go back to the old look, just follow the same steps. Follow Tom's Guide on Google News to get our up-to-date news, how-tos, and reviews in your feeds. Make sure to click the Follow button.

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