Apple 考慮增加 SearchGPT 等 AI 搜尋選項至 Safari，但暫時不改 Google 的預設地位
Safari Search
根據 Bloomberg 報導，像 Perplexity 或 OpenAI 的 SearchGPT 之類的 AI 搜尋服務，未來都可能替代 Google，成為 Safari 瀏覽器中的搜尋引擎選項。這是 Apple 服務部門資深副總裁 Eddy Cue 在為 Google 的搜尋反壟斷案作證時所提出的證詞，Cue 之所以被傳喚作證，是因為 Google 和 Apple 之間的一項協議，讓 Google 搜尋得以成為 iPhone 上的預設搜尋引擎。
Cue 聲稱 Apple 已與 Perplexity 討論過將其服務整合至 Safari 的可能性，但在證詞中他並未分享任何明確計畫。不過即便如此，Cue 是認為 AI 助理最終將不可避免地取代傳統搜尋引擎的。他表示：「在 AI 出現之前，我對此的感覺是，其他選擇都不是可行的選項。但我認為今天的潛力大得多，因為有新的參與者正以不同的方式來解決這個問題。」
廣告
廣告
根據 Cue 的說法，無論 Apple 最終加入哪些 AI 搜尋功能，在初期可能都不會是預設選項。然而「現在有足夠的資金及足夠多的大型參與者，我看不出這件事不會發生的理由。」事實上，也有一些證據支持搜尋界情況正在悄悄轉變 —— 據《The Verge》報導，Cue 透露 4 月 Safari 中的 Google 搜尋次數 22 年來首度下降，雖然並不清楚那些減少的搜尋量去了哪裡，但完全有可能是流向了 ChatGPT 或 Gemini。
Google 每年支付超過 180 億美元給 Apple，以維持 Google 搜尋的預設地位，此外可能還有廣告抽成等其他財務誘因。Cue 在承認 AI 受歡迎程度的同時，也小心翼翼地拿捏分寸，避免暗示 Google 的協議阻礙了其他搜尋選項的發展。顯然，兩家公司都希望他們之間互利的關係能維持不變。
廣告
廣告
當然，這一切都是建立在 Apple 自身在 AI 方面持續遇上瓶頸，需要靠外部服務的前提上。在 2024 年提出關於 Apple Intelligence 的宏大願景後，Apple 實際執行的情況卻並不樂觀。由於太晚加入 AI 戰局，自身的投入也不多，Apple 自家的 AI 從來便未能達到當前一線公司的標準，迫使 Apple 與第三方模型合作。但即便如此，許多原本答應的功能依然難產，像更新版的 Siri 便已推遲到今年稍晚發表。因此 Apple 應該短時間內是無力推出自家產品來競爭了。
相關新聞：
緊貼最新科技資訊、網購優惠，追隨 Yahoo Tech 各大社交平台！
🎉📱 Tech Facebook：https://www.facebook.com/yahootechhk
廣告
廣告
🎉📱 Tech Instagram：https://www.instagram.com/yahootechhk/
🎉📱 Tech WhatsApp 社群：https://chat.whatsapp.com/Dg3fiiyYf3yG2mgts4Mii8
🎉📱 Tech WhatsApp 頻道：https://whatsapp.com/channel/0029Va91dmR545urVCpQwq2D
🎉📱 Tech Telegram 頻道：https://t.me/yahootechhk
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Tom's Guide
33 minutes ago
- Tom's Guide
Image Playground on your iPhone is getting a major boost — thanks to ChatGPT
Last year, Apple unveiled Image Playground — a tool to turn your descriptions or people from your photo library into AI images. It was plagued with issues, complaints, and users feeling it was lagging behind the best AI image generators. But now Apple is bringing it back — with a little help. The company announced at WWDC 2025 it is integrating ChatGPT into Image Playground in order to turn things around. This should allow for better, more advanced AI image generation while using the software. Previously, Image Playground was limited to fairly generic emoji-style images. Now, through the integration of a ChatGPT setting, users can choose to generate an image in any art style or, they can drill down to oil painting, watercolour, vector, anime or print. Whenever a user tries to generate an image through Image Playground like this, Apple will send the request off to ChatGPT to generate the image. However, Apple has made it clear that it won't share any personal information with ChatGPT without the user's permission. Apple is making a clear effort to push Image Playground further. Not only does it have integration with ChatGPT, but the feature is being made more accessible throughout iOS. Users can generate unique images that fit a conversation in Messages and set that as their background. It can also be accessed through Apple's Shortcuts update. Apple Intelligence may be lagging behind its competition, but the company's deepening relationship with OpenAI could help make up ground. Get instant access to breaking news, the hottest reviews, great deals and helpful tips. Apple is making a clear effort to push Image Playground further. Apple announced it was bringing ChatGPT to Siri last year and has continued to cram ChatGPT features into a various parts of its apps, like Notes and Mail. This is a direction other companies have used successfully, piggy-backing on the success of the largest AI models to boost an ecosystem without having to produce a competitive AI model — something both expensive and time-consuming. The feature isn't quite here yet. ChatGPT integration in Apple Playground will launch alongside iOS 26, which is expected to drop in September alongside the iPhone 17 family. You can find the biggest announcements from WWDC 2025 here and, if you haven't seen it yet, check out our interview with Apple's Craig Fedreghi and Greg Joswiak discussing Apple Intelligence (among other things) below.
CNBC
42 minutes ago
- CNBC
Nvidia CEO says this is the decade of robotics and autonomous vehicles
Autonomous vehicles and robotics are going to take off in a big way in the years ahead, according to Nvidia CEO Jensen Huang. "This is going to be the decade of AV [autonomous vehicles], robotics, autonomous machines," Huang told CNBC's Arjun Kharpal Thursday at the Viva Tech conference in Paris. Nvidia plays a significant role in the rollout of driverless vehicles as the U.S. chipmaking giant sells both hardware and software solutions for AVs. Self-driving cars are being spotted more frequently in the U.S., where Google-owned Waymo is operating robotaxi services in parts of San Francisco, Phoenix, and Los Angeles. Meanwhile, a number of Chinese companies including Baidu and are also running their own respective robotaxi fleets. Europe, on the other hand, is yet to see significant AV adoption — primarily because the regulations are not yet clear enough for self-driving technology companies to get their services off the ground. However, the technology is beginning to gain more traction. In the U.K., legislation called the Autonomous Vehicles Act has been passed into law, paving the way for self-driving vehicles to arrive on roads by 2026. Uber on Tuesday announced a partnership with British self-driving car technology firm Wayve to launch trials of fully autonomous rides in the U.K., starting in spring 2026.
WIRED
an hour ago
- WIRED
Vibe Coding Is Coming for Engineering Jobs
Jun 12, 2025 6:30 AM Engineering was once the most stable and lucrative job in tech. Then AI learned to code. Photo-Illustration:On a 5K screen in Kirkland, Washington, four terminals blur with activity as artificial intelligence generates thousands of lines of code. Steve Yegge, a veteran software engineer who previously worked at Google and AWS, sits back to watch. 'This one is running some tests, that one is coming up with a plan. I am now coding on four different projects at once, although really I'm just burning tokens,' Yegge says, referring to the cost of generating chunks of text with a large language model (LLM). Learning to code has long been seen as the ticket to a lucrative, secure career in tech. Now, the release of advanced coding models from firms like OpenAI, Anthropic, and Google threatens to upend that notion entirely. X and Bluesky are brimming with talk of companies downsizing their developer teams—or even eliminating them altogether. When ChatGPT debuted in late 2022, AI models were capable of autocompleting small portions of code—a helpful, if modest step forward that served to speed up software development. As models advanced and gained 'agentic' skills that allow them to use software programs, manipulate files, and access online services, engineers and non-engineers alike started using the tools to build entire apps and websites. Andrej Karpathy, a prominent AI researcher, coined the term 'vibe coding' in February, to describe the process of developing software by prompting an AI model with text. The rapid progress has led to speculation—and even panic—among developers, who fear that most development work could soon be automated away, in what would amount to a job apocalypse for engineers. 'We are not far from a world—I think we'll be there in three to six months—where AI is writing 90 percent of the code,' Dario Amodei, CEO of Anthropic, said at a Council on Foreign Relations event in March. 'And then in 12 months, we may be in a world where AI is writing essentially all of the code,' he added. But many experts warn that even the best models have a way to go before they can reliably automate a lot of coding work. While future advancements might unleash AI that can code just as well as a human, until then relying too much on AI could result in a glut of buggy and hackable code, as well as a shortage of developers with the knowledge and skills needed to write good software. David Autor, an economist at MIT who studies how AI affects employment, says it's possible that software development work will be automated—similar to how transcription and translation jobs are quickly being replaced by AI. He notes, however, that advanced software engineering is much more complex and will be harder to automate than routine coding. Autor adds that the picture may be complicated by the 'elasticity' of demand for software engineering—the extent to which the market might accommodate additional engineering jobs. 'If demand for software were like demand for colonoscopies, no improvement in speed or reduction in costs would create a mad rush for the proctologist's office,' Autor says. 'But if demand for software is like demand for taxi services, then we may see an Uber effect on coding: more people writing more code at lower prices, and lower wages.' Yegge's experience shows that perspectives are evolving. A prolific blogger as well as coder, Yegge was previously doubtful that AI would help produce much code. Today, he has been vibe-pilled, writing a book called Vibe Coding with another experienced developer, Gene Kim, that lays out the potential and the pitfalls of the approach. Yegge became convinced that AI would revolutionize software development last December, and he has led a push to develop AI coding tools at his company, Sourcegraph. 'This is how all programming will be conducted by the end of this year,' Yegge predicts. 'And if you're not doing it, you're just walking in a race.' The Vibe-Coding Divide Today, coding message boards are full of examples of mobile apps, commercial websites, and even multiplayer games all apparently vibe-coded into being. Experienced coders, like Yegge, can give AI tools instructions and then watch AI bring complex ideas to life. Several AI-coding startups, including Cursor and Windsurf have ridden a wave of interest in the approach. (OpenAI is widely rumored to be in talks to acquire Windsurf). At the same time, the obvious limitations of generative AI, including the way models confabulate and become confused, has led many seasoned programmers to see AI-assisted coding—and especially gung-ho, no-hands vibe coding—as a potentially dangerous new fad. Martin Casado, a computer scientist and general partner at Andreessen Horowitz who sits on the board of Cursor, says the idea that AI will replace human coders is overstated. 'AI is great at doing dazzling things, but not good at doing specific things,' he said. Still, Casado has been stunned by the pace of recent progress. 'I had no idea it would get this good this quick,' he says. 'This is the most dramatic shift in the art of computer science since assembly was supplanted by higher-level languages.' Ken Thompson, vice president of engineering at Anaconda, a company that provides open source code for software development, says AI adoption tends to follow a generational divide, with younger developers diving in and older ones showing more caution. For all the hype, he says many developers still do not trust AI tools because their output is unpredictable, and will vary from one day to the next, even when given the same prompt. 'The nondeterministic nature of AI is too risky, too dangerous,' he explains. Both Casado and Thompson see the vibe-coding shift as less about replacement than abstraction, mimicking the way that new languages like Python build on top of lower-level languages like C, making it easier and faster to write code. New languages have typically broadened the appeal of programming and increased the number of practitioners. AI could similarly increase the number of people capable of producing working code. Bad Vibes Paradoxically, the vibe-coding boom suggests that a solid grasp of coding remains as important as ever. Those dabbling in the field often report running into problems, including introducing unforeseen security issues, creating features that only simulate real functionality, accidentally running up high bills using AI tools, and ending up with broken code and no idea how to fix it. 'AI [tools] will do everything for you—including fuck up,' Yegge says. 'You need to watch them carefully, like toddlers.' The fact that AI can produce results that range from remarkably impressive to shockingly problematic may explain why developers seem so divided about the technology. WIRED surveyed programmers in March to ask how they felt about AI coding, and found that the proportion who were enthusiastic about AI tools (36 percent) was mirrored by the portion who felt skeptical (38 percent). 'Undoubtedly AI will change the way code is produced,' says Daniel Jackson, a computer scientist at MIT who is currently exploring how to integrate AI into large-scale software development. 'But it wouldn't surprise me if we were in for disappointment—that the hype will pass.' Jackson cautions that AI models are fundamentally different from the compilers that turn code written in a high-level language into a lower-level language that is more efficient for machines to use, because they don't always follow instructions. Sometimes an AI model may take an instruction and execute better than the developer—other times it might do the task much worse. Jackson adds that vibe coding falls down when anyone is building serious software. 'There are almost no applications in which 'mostly works' is good enough,' he says. 'As soon as you care about a piece of software, you care that it works right.' Many software projects are complex, and changes to one section of code can cause problems elsewhere in the system. Experienced programmers are good at understanding the bigger picture, Jackson says, but 'large language models can't reason their way around those kinds of dependencies.' Jackson believes that software development might evolve with more modular codebases and fewer dependencies to accommodate AI blind spots. He expects that AI may replace some developers but will also force many more to rethink their approach and focus more on project design. Too much reliance on AI may be 'a bit of an impending disaster,' Jackson adds, because 'not only will we have masses of broken code, full of security vulnerabilities, but we'll have a new generation of programmers incapable of dealing with those vulnerabilities.' Learn to Code Even firms that have already integrated coding tools into their software development process say the technology remains far too unreliable for wider use. Christine Yen, CEO at Honeycomb, a company that provides technology for monitoring the performance of large software systems, says that projects that are simple or formulaic, like building component libraries, are more amenable to using AI. Even so, she says the developers at her company who use AI in their work have only increased their productivity by about 50 percent. Yen adds that for anything requiring good judgement, where performance is important, or where the resulting code touches sensitive systems or data, 'AI just frankly isn't good enough yet to be additive.' 'The hard part about building software systems isn't just writing a lot of code,' she says. 'Engineers are still going to be necessary, at least today, for owning that curation, judgment, guidance and direction.' Others suggest that a shift in the workforce is coming. 'We are not seeing less demand for developers,' says Liad Elidan, CEO of Milestone, a company that helps firms measure the impact of generative AI projects. 'We are seeing less demand for average or low-performing developers.' 'If I'm building a product, I could have needed 50 engineers and now maybe I only need 20 or 30,' says Naveen Rao, VP of AI at Databricks, a company that helps large businesses build their own AI systems. 'That is absolutely real.' Rao says, however, that learning to code should remain a valuable skill for some time. 'It's like saying 'Don't teach your kid to learn math,'' he says. Understanding how to get the most out of computers is likely to remain extremely valuable, he adds. Yegge and Kim, the veteran coders, believe that most developers can adapt to the coming wave. In their book on vibe coding, the pair recommend new strategies for software development including modular code bases, constant testing, and plenty of experimentation. Yegge says that using AI to write software is evolving into its own—slightly risky—art form. 'It's about how to do this without destroying your hard disk and draining your bank account,' he says.
