Apple faced enormous pressure to get users excited about its artificial intelligence announcements Monday, in part because it has lagged behind its competitors in articulating an AI strategy. Its rivals have already rolled out impressive AI software tools, as well as AI-powered devices.
Here’s a look at some of Apple’s competitors in the AI space:
Samsung: Earlier this year, Samsung launched its Galaxy S24 smartphone lineup that features generative AI features built into the device. The phones can translate conversations and voice messages in real time; users can ask questions about what they see on their screen; and AI editing capabilities make it easier to touch up photos.
Microsoft: In May, Microsoft unveiled a line of computers that feature advanced artificial intelligence tools, as well as its AI assistant Copilot. Copilot can help with tasks like writing, tracking emails in Outlook, or designing presentations in PowerPoint. The company also announced a controversial AI-powered feature called Recall, which lets users quickly find items on their computer, such as documents, images, and websites they’ve visited in the past.
Google: Google recently showed off how its AI technology, known as Gemini, will soon be working across Gmail, Google Photos, Search, and more. A new feature, called Ask Photos, lets users search for photos to get deeper information, like your license plate number, by looking at their saved photos. Another feature could let AI “read” a textbook and turn it into a “lecture” with a natural, instructional voice that could answer questions. The company has also started rolling out AI summaries of search results at the top of Google Search for certain queries.
OpenAI: OpenAI’s latest large-scale language model, GPT-4o, is expected to supercharge ChatGPT, turning it into a digital personal assistant capable of engaging in real-time spoken conversations. The new technology allows ChatGPT to do everything from providing real-time instructions for solving a math problem to telling (or even singing) a bedtime story. The model can also detect a user’s emotions based on their voice or facial expression, and can have a conversation in multiple languages at once.
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