At this month’s Apple Developers Conference, Apple did not mention a hot word-artificial intelligence (AI), but replaced it with technical language such as machine learning. However, in the many updates it has launched, AI functions are hidden everywhere, such as automatic spelling correction upgrades, adaptive volume adjustment of headphones, and optimization of picture editing functions.
“Atlantic Monthly” technology writer Caroline Mimbs Nyce believes that although Apple avoids talking about artificial intelligence, Apple has actually become an artificial intelligence company because of many small functional adjustments to achieve artificial intelligence. is creeping into the iPhone. The Paper compiled and compiled this article published by Ness on June 20.
After more than a decade of development, autocorrect “mistakes” may be fading away. Apple’s much-maligned spelling software is being upgraded with artificial intelligence: Using sophisticated language models, new autocorrect doesn’t just check words against a dictionary, but also based on their context in a sentence. In theory, it won’t misinterpret the user’s intended input of consolation as consolidation, because it knows the words are not interchangeable.
Next-gen autocorrect, one of the smaller updates to the iPhone experience Apple announced earlier this month. In addition, the photo app can distinguish your dog from other people’s dogs, and automatically recognize your pet just like identifying common people in photos; and AirPods will also adjust background noise more intelligently according to listening conditions.
Apple’s new artificial intelligence features may just be “appetizers before the main course.”
These features are all powered by artificial intelligence — though you probably wouldn’t know that from Apple’s presentation. Apple didn’t mention the word “artificial intelligence” during the meeting announcing these updates, even though it’s become a buzzword among tech companies right now. Instead, Apple uses more technical languages, such as machine learning or the Transformer language model (Editor’s Note: A deep learning model developed by Google, on which OpenAI developed GPT). Apple has been quiet about the technology — so silent it’s seen as lagging behind other tech companies. Indeed, ChatGPT can write half-finished business proposals, while Siri can only set your morning alarm clock and do nothing else. However, Apple is still advancing artificial intelligence in a small area. This gradual approach may also be the future trend of this technology.
Since the launch of ChatGPT last fall, tech giants have not been shy about talking about artificial intelligence — for better or for worse. OpenAI CEO Sam Altman said on Twitter last month that artificial intelligence “is the most amazing tool ever created.” Microsoft founder Bill Gates called artificial intelligence “the most important technological advance since the graphical user interface.” And at a Google conference, Alphabet (Editor’s Note: Google’s parent company) CEO Sundar Pichai mentioned “artificial intelligence” 27 times in a 15-minute speech. (He has also said that AI will be “more profound” than humans learning to use fire.)
Apple, on the other hand, doesn’t even pretend to be boasting when it comes to artificial intelligence. Veteran Apple watcher John Gruber, founder of tech blog Daring Fireball, told me he doesn’t expect any of the machine learning features Apple announced this year to significantly change the iPhone user experience. They only make it better in name. “We just want autocorrect to work smoothly,” he said in an email. “We only notice it when it goes wrong.”
The new autocorrect feature, coming in an iOS update later this year, could be like a watered-down version of ChatGPT in your pocket. Apple says the software is better able to adjust itself to how we type and predict which words and phrases we’ll use next. When you ask ChatGPT a question, you are actually accessing the same huge language model stored on the cloud and available to everyone. But now a smaller, more customized language model that supports autocorrect will be stored on your iPhone. Apple did not reveal specific details of the technology used here, said Tatsunori Hashimoto, a computer scientist at Stanford University. Tatsunori Hashimoto and his research team are exploring how to shrink large language models and deploy them to mobile devices.
In addition, AirPods will now use “adaptive audio” to analyze the sound around the user and adjust accordingly. For example, your AirPods might automatically turn the music down when you start chatting with the barista at a coffee shop, and turn it up again when you’re done chatting. Apple says it uses machine learning to understand users’ volume preferences and improve their listening experience.
This is typical Apple style, “focus on what a feature can do, rather than how to do it.” Gruber said, “Users care more about using the artificial intelligence technology behind this feature, rather than what the product uses. programming language.” At the same time, he also believes that the new features emphasize user privacy, which Apple has always valued or at least claimed to value. Since the company is using an “on-device” model, this may pose less of a privacy risk than a giant, cloud-based model like ChatGPT. “In a sense, it’s private because the user data doesn’t leave their phone, and the model that’s fine-tuned on the user doesn’t leave their phone either,” says Moosen Ba, an artificial intelligence expert at Stanford Graduate School of Business. Mohsen Bayati said.
The difference between Apple and other technology companies in artificial intelligence can be explained by their respective business models. The tech giants don’t make money in the same way, with Google and Meta capturing about half of the digital advertising market, and chatbots powered by artificial intelligence could be another way to entice us to spend. Microsoft has less of an advertising business, but it wants to take on Google by adding chatbot capabilities to search. Amazon’s huge cloud services business will also benefit from the use of large language models (they have to have a place to live!). Apple is a premium brand, and its deeper business is to make your computer and phone more enjoyable to use. “So it’s not surprising that Apple is cautiously approaching AI in a product-oriented way,” Gruber said.
However, the iPhone may be where many people first encounter new advances in artificial intelligence, in part because how chatbots will manifest themselves in our daily lives remains uncertain. ChatGPT was a hit when it launched, attracting 100 million users in two months, but it’s not clear how many people are still using it regularly (an OpenAI spokesperson declined to comment when asked about the current average number of monthly users). would like to disclose specific figures). Many companies are also adding their own chatbot capabilities—Instacart (Editor’s Note: American food delivery app) now uses artificial intelligence to provide recipes, and Salesforce (Editor’s Note: A company that provides customer relationship management solutions) recently launched “Einstein GPT”. But chatbots still have significant limitations. They’re often fabricated, biased, and a copyright nightmare.
Minor technical inconveniences are easy to piss off, but “no, autocorrect, I didn’t mean ducking” (Editor’s note: funking will be changed to ducking in autocorrect) is an internet meme for a reason. Better autocorrect works across billions of phones, tablets, and computers: iPhones are now the majority of smartphones in the U.S., and Apple has more than 2 billion active devices worldwide. Other tech giants are also using AI to make small upgrades to existing products. Google recently rolled out a feature for drafting Gmail responses via a chatbot. The scenario of human-like chatbots taking over is not the only way artificial intelligence is changing the world. Many tiny tweaks under our noses can become one big thing. In a sense, they already do—for years, machine learning has given us personalized ads, filtered our social media feeds, and helped us determine search results.
Like others in Silicon Valley, Apple may soon try to take things a step further. Daniel Ives, a technology analyst at Wedbush Securities (Editor’s Note: American Financial Services Company), believes that Apple’s new artificial intelligence features are just “the appetizer before the main course.” His team estimates that the company has spent $8 billion to $10 billion on AI over the past four to five years — the same amount Microsoft invested in OpenAI in January, and Apple is reportedly hiring in AI. Talents.
So, “Hey Siri, maybe your days are numbered.”
