Summarize this content to 2000 words in 6 paragraphs in Arabic In June 2023, Apple chief executive Tim Cook walked onstage at the company\u2019s flagship annual developers conference to announce, in the tradition set by Steve Jobs, \u201cone more thing.\u201dJust six months earlier, OpenAI\u2019s ChatGPT had launched, gaining a million users in just five days and triggering a new cycle in the tech industry. Generative AI, the technology promising a profound new level of machine intelligence, was not new. But the chatbot was the first product based on large language models to truly grab the popular imagination.The proponents of generative AI say it portends a radical future where our devices can contextually understand vast amounts of information and offer dynamic, smarter, humanlike responses to our needs. But the \u201cthing\u201d Cook went on to announce that June day was the Vision Pro, Apple\u2019s mixed-reality headset which remains a niche product limited to the US market. As the dust settled, commentators were quick to pick up on something: not once, during a series of presentations from Apple\u2019s top executives, had any of them even mentioned the term \u201cgenerative AI\u201d.A year on, there are fears that Apple may have missed the boat on a generational shift. The likes of Google, Microsoft, Meta and Amazon have raced to capitalise on the technology, investing billions of dollars into the hardware required to power generative models. Google\u2019s launch of the Pixel 8 smartphone in October and Samsung\u2019s Android-based S24 in January \u2014 both powered by Google\u2019s Gemini family of AI models \u2014 have introduced a new concept into the industry lexicon: \u201cthe AI smartphone\u201d. In the \u201cAI PC\u201d space, rivals like Microsoft, Qualcomm and AMD have staked a similar claim to early leadership.Apple, however, is yet to launch an iPhone specifically marketed for the age of AI \u2014 although its new line of iPads powered by its M4 chip, launched in May, gave a hint at its ambitions. The company has meanwhile had a run of bad headlines, as the EU and the Biden administration pursue it over alleged antitrust violations. Its shares have recovered from a slump at the start of the year, but after a major growth spurt as pandemic lockdowns were lifted, sales of the iPhone, Apple\u2019s most lucrative product, are flattening. And in what risks being seen as a sign of the times, the company is vying with Nvidia, the darling of the generative AI boom, for the rank of the second most valuable US company.When Cook emerges onstage at this year\u2019s developers conference in Cupertino on Monday, he has the chance to change this narrative. The company is expected to unveil its new operating system, iOS 18, a major software update that will kick off its broader plan for generative AI.But analysts say the stakes are high for Cook, who needs to position Apple as a genuine contender in a race set to define the next decade of technological growth.\u201cApple needs to dispel the perception that it has been behind on generative AI,\u201d says JPMorgan analyst Samik Chatterjee. \u201cThey need to be able to say: \u2018OK, we have caught up with the rest of the industry.\u2019\u201dWhen it comes to new technologies, Apple\u2019s strategy has always been to perfect, rather than pioneer \u2014 refining existing ideas to offer the best user experience. Take the iPod in 2001. Many MP3 players were already on the market when it launched, but Apple\u2019s product was sleeker, smaller, and could hold hundreds more songs. Underpinning it was a more efficient, cheaper option for buying music, iTunes. Six years later Steve Jobs pulled off a similar coup with the launch of the iPhone.Yet analysts say that with the advent of generative AI, the company is under unusual pressure to make its move sooner rather than later.\u201cWith AI, it does feel as though Apple has had its hand forced a little bit in terms of the timing,\u201d says Leo Gebbie, an analyst at CCS Insight, a tech research and advisory group. \u201cFor a long time Apple preferred not to even speak about \u2018AI\u2019 \u2014 it liked to speak instead about \u2018machine learning.\u2019\u201dMachine learning is a subset of AI that uses statistical analysis to find patterns in large data sets; the umbrella term \u201cAI\u201d includes several methods and techniques for helping a computer perform a cognitive function.\u201cThat dynamic shifted maybe six months ago when Tim Cook started talking about \u2018AI\u2019 and reassuring investors. It was quite fascinating to see Apple, for once, dragged into a conversation that was not on its own terms,\u201d Gebbie says.On the company\u2019s last earnings call, Cook said the company was feeling \u201cvery bullish about our opportunity in generative AI\u201d, adding that the company has \u201cadvantages that will differentiate us in this new era\u201d. Cook was seeking to shut down the perception that Apple is behind on generative AI.The competitive race Apple is entering has three dimensions: developing chips that can power AI features more and more on its devices; creating so-called \u201ckiller\u201d applications that will lure in consumers; and securing access to the most advanced generative AI models controlled by rivals Microsoft and Google.The company is intensely secretive about its processes, but it has not been sitting on its hands. It has built out a team of top AI talent led by former Google Brain executive John Giannandrea, who was hired in 2018. It already has a chip powerful enough to run an \u201cAI smartphone\u201d \u2014 at least, by the most commonly understood definition of such a product. Exact specifications vary, but the term typically refers to a phone with a neural processing unit chip, or NPU, that is capable of running around 30 trillion operations per second, or Tops. These NPUs with their neural engine make it easier to run some of the extremely compute-heavy AI applications locally on the device, rather than through the cloud. But they bring \u201chuge technical challenges in terms of memory\u201d, says Reece Hayden, an analyst at ABI Research, a technology intelligence company. \u201cEven very small generative models have much higher memory requirements than any phone at the moment can sustain.\u201d Apple, which designs its own custom chips for its products, has had its own dedicated neural network architecture since 2017 and its latest A17 Pro chip on the iPhone 15 Pro and Pro Max exceeds the 30 Tops benchmark. But the iPhone 15 Pro has only 8GB of RAM, compared to Samsung\u2019s S24 smartphone, powered by Qualcomm\u2019s chips, which has 12GB. Apple is not expected to launch a successor, the iPhone 16, until later this year.This is a crucial battleground in the global AI race. Technology market research firm Counterpoint estimates that \u201cAI smartphones\u201d will make up 43 per cent of worldwide smartphone shipments by 2027, with 1 billion devices in use. Google, Apple\u2019s main rival in terms of phone operating systems with Android, is already forging ahead, rolling out tools for developers to make use of its Gemini models, powering new features like \u201ccircle to search\u201d, and integrating its chatbot, Bard, into what the user does on the device.\u201cI firmly believe we are in a once in a generation moment to reimagine what phones are capable of with the advances in AI,\u201d says Sameer Samat, president of Google\u2019s Android ecosystem. \u201cWe are on a multiyear journey to rebuild Android with AI at the centre of it.\u201dThe International Data Corporation is expecting 4.8 per cent year on year growth in 2024 for sales of generative AI Android smartphones, but just 0.7 per cent for Apple.\u201cIf Apple wants to change this trajectory and accelerate this growth, it is crucial for them to outline a clear AI strategy in the coming weeks,\u201d Nabila Popal, a research director at the IDC, says. Apple\u2019s challenge will be \u201cconvincing consumers why they need these new AI features and, more importantly, why it needs to be done \u2018on their device\u2019, to compel users to upgrade,\u201d she adds.One concrete step Apple can take to show it is serious about the potential of generative AI is by using it to enhance Siri, the digital voice assistant it introduced in 2011. The initial wave of AI chatbots led by ChatGPT, while catching the eye of consumers, is only one application of the technology \u2014 with the input and output both being text. An enhanced Siri might be attuned to user preferences and capable of carrying out a specific set of tasks very well, such as sorting through emails. Within the limits of its existing hardware, Apple can use personal data kept locally on the device to craft these kinds of personalised experiences for its users, says Tim Bates, a professor at the University of Michigan-Flint College of Innovation & Technology. \u201cI talk about this as \u2018narrow AI\u2019,\u201d he says. If Apple wants to change this trajectory and accelerate this growth, it is crucial for them to outline a clear AI strategy in the coming weeksThis so-called \u201con-device\u201d premise has the added benefit of protecting user safety and privacy, as consumers are unlikely to want AI applications training themselves on their personal information and exporting it to the cloud. Running features locally also cuts out the lag involved in generating responses from a remote server. \u201cSiri is really the perfect \u2018flavour\u2019 of interactive AI,\u201d Bates adds. \u201cAn individual can control their data, talk to the AI, and get things done, and not be afraid it\u2019s going to be sucked out of the device.\u201d The killer use case of the AI iPhone, however, will come when Apple can offer a \u201cconversational assistant that is fully integrated with everything on the device and then interfacing with some kind of expert agent in the cloud,\u201d says Wamsi Mohan at Bank of America. This is where the expected partnerships with OpenAI \u2014 and possibly Google \u2014 come in. While Apple has been working on its own generative models, it cannot rival the most advanced models based on trillions of parameters of data, so it needs to strike deals. \u201cApple is going at it in two different contexts. One is on the iOS devices, which nobody is going to do outside of Apple,\u201d says JPMorgan\u2019s Chatterjee. \u201cThe cloud aspect will involve separate partnerships \u2014 Apple doesn\u2019t want to go and invest in data centres running heavy AI models.\u201dThis would allow Apple to introduce generative AI to the rest of its software ecosystem. Dylan Patel, chief analyst at research group SemiAnalysis, says he expects Apple will have three layers to its AI offering, making use of multiple models: the smallest running locally on its devices, \u201cmedium sized\u201d models running on their own servers, and \u201clarge models\u201d with service providers like OpenAI and Google.Apple\u2019s built-in advantage is its role as a hardware \u201cmiddle man\u201d between the hundreds of millions of iOS users around the world and the developers using its software ecosystem. It is able not just to curate how consumers experience new generative AI features, but also how developers build them, ABI\u2019s Hayden says. Developers are expecting new tools from Apple, says Adam Smart at mobile software analytics firm AppsFlyer, both in terms of specific software development kits for building out AI features, and new application programming interfaces that allow them to tap into Apple\u2019s own features like Siri. \u201cAn AI partnership has potential to change the game when it comes to streamlining common, everyday tasks people use their Apple devices for, such as crafting and editing emails and text messages, or simplifying voice-to-text search functions in travel and shopping apps,\u201d he says.The developers conference ought to shed light on this too, says BofE\u2019s Mohan. \u201cI think Apple will provide some of the hooks that are necessary to enhance productivity with AI.\u201dThese moves might allow Apple to draw level with some of its rivals, but not yet surpass them. At the moment, it is neither pioneer nor perfectionist.To the extent that progress rests on partnerships with large partners, the precise contours of any deal between Apple and OpenAI are unclear. Whether the two companies make a cultural fit, and how long the marriage can last, is an open question. The potential pairing is all the more striking given Cook\u2019s decision not to even acknowledge the company just a year ago. But experts caution it would be premature to count Apple out. The AI revolution is still in its infancy, and none of the Big Tech companies have yet managed to graft generative AI on to a killer hardware product.\u201cTo use a sports analogy, I think we are in the first minute of the first half,\u201d says Jason Banta, a corporate vice-president at chipmaker AMD. \u201cIt\u2019s still very early.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"
Summarize this content to 2000 words in 6 paragraphs in Arabic In June 2023, Apple chief executive Tim Cook walked onstage at the company\u2019s flagship annual developers conference to announce, in the tradition set by Steve Jobs, \u201cone more thing.\u201dJust six months earlier, OpenAI\u2019s ChatGPT had launched, gaining a million users in just five days<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[63],"tags":[],"class_list":{"0":"post-114395","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-tech"},"_links":{"self":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts\/114395","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/comments?post=114395"}],"version-history":[{"count":0,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts\/114395\/revisions"}],"wp:attachment":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/media?parent=114395"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/categories?post=114395"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/tags?post=114395"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}